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JOB DESCRIPTION As a AI/ML Engineer at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities • Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases., • Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives., • Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency., • Implement optimization strategies to fine-tune generative models for specific GenAI use cases, ensuring high-quality outputs in summarization and text generation., • Conduct thorough evaluations of generative models (e.g., GPT-5.2), iterate on model architectures, and implement improvements to enhance overall performance in LLM applications., • Implement monitoring mechanisms to track model performance in real-time and ensure model reliability., • Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences., • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, • 6+ years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production., • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API., • Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API., • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization., • Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly Transformer., • Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications., • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects., • Familiarity with the financial services industries., • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG) and Agentic AI framework, • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world. Job Summary FreeWheel connects the world’s leading media companies and brands across the premium streaming TV ecosystem. Bring your critical thinking, initiative, self‑efficacy, and confidence to a role centered on delivering an exceptional learning experience for our clients. In this technical training position, you will help users understand and navigate the FreeWheel platform, breaking down complex concepts into clear, accessible guidance that empowers customers in their day‑to‑day work. You will foster a positive, supportive training environment for clients, building the skills they need to succeed with FreeWheel’s technology. This role is based in our New York headquarters (in‑office 4 days per week) and offers a strong pathway for growing your career in ad‑tech. Why this role matters You will play a key role in helping external clients feel confident and successful as they learn to use the FreeWheel platform. Working closely with Solutions Engineering, Account Management, Sales Engineering, Product Management, and Product Marketing, you will guide clients through end‑to‑end workflows using clear learning goals that drive product adoption and expand feature utilization. You will also use our training networks to view, test, and validate new features as they’re released, ensuring both live training and learning materials reflect the platform’s latest capabilities. Your work ensures that every training experience feels current, accurate, and directly connected to real client needs. You will gain hands on experience at the forefront of TV ad tech, building your expertise from the ground up within a premium video marketplace and supporting partnerships that span leading platforms and publishers like Roku, Warner Bros. Discovery, and A+E. Job Description Responsibilities • Deliver engaging client-facing training sessions, providing confident, technically fluent instruction that helps users understand and navigate FreeWheel’s ad tech platform., • Translate complex, real-world client workflows into clear learning goals and paths and develop relevant, scenario-based training that reflects actual customer use cases and business needs., • Use the training networks and administer the LMS (e.g., Docebo) to ensure readiness for demonstrations, accurate course setup, assignments, and consistent reporting., • Validate new product features and update training material (slides, exercises, videos, job aids) so content always reflects current product behavior., • Create polished instructional content and high-quality recorded modules using tools such as Camtasia, Audiate, and MS365., • Measure and improve learning effectiveness using core KPIs: time to first value reduction, training CSAT, certification pass rates, and LMS completion/engagement rates., • Collaborate cross functionally with Solutions Engineering, Account Management, Sales Engineering, Product Management, and PMM to align training with product releases, client needs, and go-to-market priorities., • Thoughtful use of AI tools to increase efficiency, streamline routine tasks, and support problem solving and content creation., • Critical Thinking: Break down complex workflows, identify key decision points, and design instructional moments around them., • Initiative: Supported by trainers, technical writers, and team leads, you are comfortable taking thoughtful risks, exploring innovative ideas, and helping shape our learning experiences ., • Self-Efficacy: Believe in your ability to figure things out—and earn client trust because of it., • Confidence: Present with clarity, command the room, and guide learners through technical concepts without hesitation. Must-have qualifications • 2–4 years of experience in training, client education, instructional design, learning experience development, ad operations, customer success, or another technically oriented, client‑facing role., • Demonstrated instructional design ability, turning complex platform workflows into structured, easy to follow learning paths and materials., • Ability to quickly learn new tools, workflows, and platform features—and translate them into training modules, scenarios, and hands-on practice activities., • High-quality written and verbal communication skills with the ability to “explain the why” behind technical concepts., • Working knowledge of adult learning principles, with familiarity in microlearning, blended learning, or scenario based design., • Comfort collaborating with technical partners such as Solutions Engineering, Product Management, or Sales Engineering, on product releases and training alignment. Nice-to-have qualifications • Firsthand experience creating video learning content using tools such as Camtasia and Audiate, with a focus on clarity and quality., • A baseline understanding of the programmatic and premium video ecosystem, including common workflows and platform concepts., • Familiarity with LMS platforms (such as Docebo) for uploading content, tracking learners, and basic course operations., • Exposure to ad tech platforms—DSPs, SSPs, Ad servers, CTV/MVPD systems, or measurement tools—and curiosity to learn more., • Some experience with feature validation, UAT, or checking product behavior to ensure training accuracy. Employees at all levels are expected to: • Understand our Operating Principles; make them the guidelines for how you do your job., • Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services., • Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences., • Win as a team - make big things happen by working together and being open to new ideas., • Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers., • Drive results and growth., • Respect and promote inclusion & diversity. Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Skills: Content Development; Virtual Classrooms; Instructional Design Salary: Primary Location Pay Range: $82,545.69 - $123,818.53 Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years

We are looking for an Actuarial Associate to join the Businessowners Actuarial Product team, specializing in Farmowners. The Businessowners Product team is responsible for Businessowners and Farmowners. The team is responsible for analyzing and creating pricing for new and emerging insurance risks; performing deep dives into pricing methodologies with the goals to enhance and innovate pricing of existing products and coverages; leading efforts in secure filing of pricing changes; providing supports for filings of coverage changes; and maintaining customer focus in all their work. The successful candidate will enjoy identifying and solving complex actuarial problems, be comfortable working with team members on high-profile projects and own part of the processes, and have the ability to explain work in non-technical contexts to internal and external customers. The role will focus on supporting the Farmowners program. This will include ratemaking and loss cost reviews as well as general product support and enhancements. Familiarity with Farmowners insurance or similar coverages is strongly preferred. The ideal candidate will also have an understanding of coverage forms and language, rating rules, and the insurance market. In addition, this person will work closely with our coverage team and may represent Farmowners supporting cross-LOB initiatives and Reimagine initiatives. Responsibilities: * Work on projects independently or in collaboration with other functional areas that target on developing enhancements and innovations to actuarial products and procedures for the ISO Farmowners program * Collaborate closely with other ISO divisions on new products that may be actuarial or underwriting focused * Maintain a high level of customer engagement through product presentations and responses to customer inquiries * Provide actuarial analyses in supporting, maintaining and enhancing existing Farmowners actuarial products * Analyze market, industry, competitor, legal, and regulatory trends and use these to provide actionable insights that drive the business of both the company and its customers * Interact with regulatory authorities to support filings of loss cost reviews and new/enhanced products Qualifications: * Bachelor’s degree in Mathematics, Statistics, Actuarial Science or related majors * ACAS preferred * 5+ years of P&C actuarial experience; property and/or pricing experience preferred * Familiarity with Farmowners insurance or similar coverages is strongly preferred * Experience in quantitative and qualitative data analysis strongly preferred * Demonstrated ability to lead initiatives, work independently and as part of a team * Strong interpersonal, oral, and written communication skills, including presentation skills * Knowledge of market, industry, customer, and competitor trends * Familiarity with predictive analytics modeling preferred but not required * Strong computing skills desired, such as SAS, SQL, Python, Access, and Excel #LI-MC1

QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most - home to hospital, lab to clinic. Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all. At QuidelOrtho, we're advancing the power of diagnostics for a healthier future for all. Join our mission as our next Account Manager, Point of Care and Molecular within Long Island, NYC, and North New Jersey. The Account Manager, POC & MDx is a front-line, customer-facing, quota-carrying role responsible for driving sales and growth of QuidelOrtho Point of Care (POC) product lines including Sofia, Triage and Molecular (MDx). This role manages a geographic territory or a portfolio of named accounts, serving as the primary point of contact for customers. Key responsibilities include achieving instrument sales targets, growing assay and reagent utilization, and ensuring customer retention. The role requires a consultative, value-driven sales approach, supported by collaboration with cross-functional teams to deliver tailored solutions that meet customer needs. Success in this position is measured by the ability to meet territory revenue and profitability goals while delivering a best-in-class customer experience. This is a field-based sales position located in and supporting the Long Island, NYC, and North New Jersey territory. * Drives sales with current customers for all POC, MDx, and Triage products, instrumentation, and services offerings within an assigned territory or list of named accounts.Meets equipment revenue targets. * Grows menu for POC business by creating value for customers beyond features and price, and delivers solutions that meet customer needs * Maximize customer retention rates by ensuring customer satisfaction, executing customer touchpoint/call plan, territory management and is the single point of contact for all problem resolutions, and anticipates and defends against competitive threats. * Builds productive and strong collaborative relationships with distribution partners to drive sales revenue and profitability. * Provide timely and accurate sales forecasts, activity, account updates, and reports via CRM system; effectively manage sales pipeline from lead acquisition to contract signing by focusing and advancing customers through the sales process. * Represents QuidelOrtho at trade shows and professional meetings. * Provides or facilitates training on QuidelOrtho POC, triage, and molecular diagnostics products to customers and distributor representatives as required. * Partners and collaborates with other within our sales organization to retain and expand menu as well as understands and executes IDN strategy. * Meets or exceeds established touchpoints per week. * Perform other work-related duties as assigned. Candidates should be aware that the Company currently requires customer-facing workers to meet Customer Credentialing requirements which may include but are not limited to, up to date immunizations. The Company is an equal opportunity employer and will provide reasonable accommodation to those unable to be vaccinated where it is not an undue hardship to the company to do so as provided under federal, state, and local law. Required: * Education: Bachelor's Degree * Experience: Minimum of 3 years of sales experience in the Healthcare industry required with knowledge of B2B sales and/or distribution sales. * Sales and/or technical experience in the medical device/life science/diagnostic market required. * Strong strategic marketing, consultation and data analysis skills are essential for building customer retention and managing financial performance. * Strong strategic thinking skills and with the ability to translate strategies into executable tactical action plans. * Ability to deliver results while working in a highly independent and fast-paced team environment. * Commercial & Business acumen. Proficient at uncovering key business issues and providing insightful, actionable recommendations for improvement. * Entry-level people management and people development skills. * Manages complex sales cycle internally and externally. * Ability to analyze financial data and generate logical strategies and plans based on analysis. * Proficiency in MS Office (i.e., Outlook, Word, Excel, PowerPoint) is required. * Strong presentation and negotiation skills. * Proficiency in selling with digital assets. * Solid communication skills - written and verbal. * Ability to uphold and support individual and company values. * High degree of ethics and professionalism while interacting with customers, vendors, and co- workers. * Ability to handle confidential information is required. * Ability to work under general supervision following established procedures required. * This position is not currently eligible for visa sponsorship. * Travel: Up to 70% domestic overnight travel. Preferred: * 5 years of sales experience in the Healthcare industry required with knowledge of B2B sales and/or distribution sales. * Experience with hospital or physician office sales, distributor sales, and/or national accounts is preferred. * QuidelOrtho employees: Graduate of Sales Development Training Program would be eligible for an Associate Account Manager, FAS with 3+ years' experience and a proven track record of success of performance (NPS score, TOR, activity, menu expansion, etc.) in account management, customer retention, and consultative business skills may be considered. * Customers: Serve as main point of contact for existing POC/Triage/MDx customers. * Field Sales: Partners with Strategic Account Executives on IDN-related opportunities and government sales managers on government opportunities. Coordinates account coverage and strategy with cross functional Account Managers and drives lead and introductions to business development teams. Brings in appropriate overlay roles as needed. * Technical Specialists: Works Technical Specialist colleagues to ensure customer has sufficient technical support, coordinate implementations and collaborate on menu expansion as needed. * Distribution Partners: Works with Channel team to support customer purchasing through distributors. * Marketing & Commercial Enablement: Partners to deliver on marketing initiatives and with data analytics team to manage performance metrics. * QuidelOrtho Management: Interact with Sales Leadership, Specialty Sales, Strategic Markets and Distribution to maximize achievement of corporate goals, and collaborate with other areas of the organization as required (e.g., Finance, HR, IT, Customer Service, etc.) Typical outside sales environment. Must have the discipline, organizational skills and self-motivation to work autonomously in a home office environment. Must be physically able to travel up to 70%. Must maintain a valid driver's license and must own and maintain an automobile suitable for travel to customer sites, airport, etc. Travel includes airplane, train, automobile, and overnights. On a typical workday, 80% of time meeting with people and customers, 20% of the time on computer, doing paperwork, or on the phone. Must be able to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus. While performing the duties of this job you are regularly required to use hands and fingers to handle or feel and talk or hear. Frequently required to stand, walk, and sit. Occasionally required to reach, climb, or balance. The salary range for this position takes into account a wide range of factors including education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on that facts and circumstances of each case. The salary range for this position is $80,000 to $100,000 and is eligible for incentive compensation. QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time) and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate. QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform the duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at ___. #LI-CG1 #LI-Remote

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: * Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. * Develop and maintain backend services using Python, focusing on AI-driven applications. * Design and implement APIs for seamless integration with AI models and services. * Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. * Participate in code reviews, testing, and quality assurance processes. * Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. * Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. * Document and communicate development processes, system designs, and architectural decisions. * Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment. * Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. * Strong proficiency in Python and familiarity with ML libraries such as PyTorch. * Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies * Familiarity with cloud platforms such as AWS or Azure. * Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services * Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. * Passion for customer, innovation, product quality, service excellence, and test engineering * The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. * Experience working with microservices/an API-based application paradigm. * Good written communication skills that enable collaboration in a remote environment. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$142,800—$225,000 USDNew York, NY Salary Range$180,400—$225,000 USDDenver, CO Salary Range$165,600—$207,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary We are seeking a dynamic and experienced privacy professional to join Capital Rx's Privacy Office as a Privacy Analyst. In this key role, you will be responsible for leading or supporting a variety of crucial activities that significantly impact Capital Rx, its clients, and members. You will help refine existing processes and build out new processes to help ensure Capital Rx remains in compliance with all applicable federal and state requirements, with a heavy emphasis on HIPAA and state privacy law (e.g., CCPA/CPRA), as well as an underlying of developing AI laws and frameworks. In addition to longer term projects, you will address day-to-day privacy matters including member access requests, incident responses, and regulatory guidance. You must have a solid grasp of current privacy law as well as industry trends, a strong attention to detail, and the ability to thrive in a fast-paced environment and effectively prioritize multiple tasks. The successful candidate will possess a strong privacy background, excellent communication skills, and the ability to provide clear and actionable guidance to various stakeholders in the organization. Previous experience working in Healthtech an added plus. Position Responsibilities: • Be a key part of the Capital Rx Privacy Office and work closely with the Legal, Compliance, Information Technology Security & Compliance (ITSC), and AI Development teams., • Identify potential gaps, analyze processes and controls, and implement improvements, including software/technology solutions, to help ensure compliance with regulations and best practices while emphasizing opportunities for greater efficiency and automation., • Develop new, and enhance existing, privacy policies, procedures, and training., • Keep current with privacy legislation/regulations and industry trends; analyze and report requirements and impacts on privacy programs, privacy notices, product and service offerings, and business operations., • Work with business units across the company on the technical implementation of privacy compliance including data mapping, privacy impact assessments, and rights requests, and support ongoing operations of these efforts from the Privacy side., • Coordinate with business units regarding data breach and security incident response., • Participate in regular Privacy, Compliance, and ITSC focused internal and externals audits, questionnaires, and vendor assessments., • Support special projects as needed for the Privacy Office., • Bachelor's degree or industry-related experience., • 2+ years of hands-on experience working in data / information privacy, with a preference for experience supporting a corporate privacy / data protection program., • Demonstrated high-level understanding of current data protection and privacy legislation, with an emphasis on HIPAA, as well as CCPA/CPRA and other state frameworks., • Experience conducting ongoing privacy compliance and monitoring activities., • Strong project management skills, with the ability to effectively prioritize and manage multiple privacy initiatives., • Excellent communication and interpersonal skills, with the ability to collaborate and influence stakeholders at all levels of the organization., • Experience administering and/or customizing Privacy SaaS platforms (e.g., OneTrust) to enable process improvement strongly preferred., • CIPT, CIPM, CIPP, CDPSE or similar certification preferred but not required., • Prior experience with a health care provider, payer, or other health care related organization, • Prior experience with data governance committees or initiatives. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: • Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements., • Collaborate with cross-functional teams to define, design, and deliver new features., • Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades., • Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies., • 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems., • Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.)., • Show a track record of mentoring and leading teams in successful projects., • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings., • Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems., • Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI)., • Experience with performance tuning and cost optimizations of cloud based data platforms., • Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs., • Experience scaling products at hyper-growth startups. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. Impact and Responsibilities: • Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals., • Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure., • Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle., • Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company. Ideally you'd have: • 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects, • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Experience with orchestration platforms, such as Temporal and AWS Step Functions., • Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)., • Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)., • Experience scaling products at hyper-growth startups. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Who we are Gartner's Consulting business is an extension of Gartner's industry-leading IT Research. From CIOs, to leaders in business and government, we help Gartner clients across enterprises translate insights into transformational actions and achieve their mission-critical priorities. Leveraging the breadth of Gartner's resources, Consulting is growing rapidly, with unlimited potential to continue expanding our client base. What we do Technology Strategy Consulting. We engage our clients on a deeper level through hands-on, project-based work grounded in the insights and advice of our Research and Advisory organization. Through these custom engagements, we help our clients optimize their IT performance by guiding them toward the right strategic decisions for their business. We deliver value to clients by helping them execute on their strategic priorities, across all sectors, including: • Digital Acceleration and Transformation, • Enterprise Enablement, • Big Data and Analytics, • Applications Rationalization, • Cloud Strategy, • Sourcing and Ecosystem Optimization, • Security and Risk Management, • Benchmarking, • Contract and Cost Optimization What you'll do Our Managing Partners are responsible for sustaining and growing Gartner Consulting's relationship with a defined portfolio of Gartner clients. As a Managing Partner, you will advise clients at the highest strategic level on both big-picture and tactical matters - showcasing how technology enables a wide range of business outcomes. Our Managing Partners collaborate with Expert Partners and others to bring the best solutions to our clients. What you'll need • Experience within a well-regarded management consultancy in a project delivery and sales / business development capacity, • Prior experience in a problem-solving capacity such as a solution/technical architect or analyst preferred, • Experience working across multiple IT solutions, • Experience working with state and local government clients, ideally opening new markets / territories and expanding existing accounts, • Experience with health and human services, transportation, and/or public safety, • A consistent track record of leading people and building high-performing teams that leverage technology to drive the mission-critical priorities of commercial or government entities, • An ability to inspire and motivate professionals from both technical and non-technical backgrounds towards a common goal, • An unwavering commitment to the success of your team, and willingness to provide constructive/ corrective action when/ if needed, • Demonstrated intellectual curiosity and the creative development of solutions and strategies to solve client problems. Must adapt Gartner frameworks and methodologies to strike at the heart of a client's most pressing business challenges, • An ability to be hands-on and to manage multiple client priorities simultaneously, • MBA or other advanced degree preferred Who you are • Comfortable selling to, influencing and building trust-based, value-added relationships with senior executives, • Coachable and embracing of best practices and feedback as a means of continuous improvement, • A consistently high achiever marked by perseverance, humility and a positive outlook in the face of challenges, • Proven track record in achieving / exceeding revenue targets, • Must be local to Albany, NY, • Ability to travel to client sites as necessary Associates are expected to travel to client sitesand meetings as required by business needs or specific engagement requirements, ensuring we deliver exceptional service where it matters most. While we value the flexibility of our hybrid work environment, in-person collaboration with clients and teams is an essential part of how we work and grow together. #LI-KH7 #LI-hybrid Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 188,000 USD - 248,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to___. Job Requisition ID:104671 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: ___ For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Our Finance team is responsible for ensuring accurate financial operations and plays a crucial role in managing the Firm's financial health. Our team handles a wide range of financial activities including financial planning, budgeting, forecasting, taxation, partner compensation, payroll, treasury and cash flow management to support the Firm's strategic goals. We are responsible for inventory management including billing and collections, and analysis of client, matter and timekeeper profitability. We oversee statutory accounting and ensure compliance with financial regulations and standards. The Finance team also prepares financial statements, reports and analysis to provide insights into the Firm's financial performance. We work closely with other functions to monitor expenses, optimize financial processes and implement cost-saving initiatives. Through meticulous financial management and strategic planning, the Finance team ensures the Firm's financial stability and supports its growth objectives. Position Summary The Senior Manager, Tax, plays a critical leadership role within the Firm's Tax Team, providing technical expertise and strategic guidance in a rapidly evolving tax landscape. This position is responsible for managing complex tax projects, ensuring compliance with US and international partnership tax regimes, and supporting the Firm's strategic objectives. The Senior Manager will serve as a key contact for Firm leadership and partners, providing support on tax issues and regulatory changes. In addition, this role will mentor and develop team members, helping to build the Tax Team's capacity and expertise to meet current and future challenges. The ideal candidate will bring US partnership tax experience, strong project management skills, and a collaborative approach to problem-solving, positioning the Tax Team for continued success and leadership in the industry. Duties and Accountabilities • Provide technical guidance on US partnership tax matters., • Serve as the subject matter expert for complex tax issues impacting the Firm and its partners., • Interpret and communicate the implications of new tax legislation and regulatory changes to internal stakeholders., • Lead and oversee special tax projects, ensuring timely and accurate completion in alignment with Firm objectives., • Allocate resources and manage project priorities to address the most critical compliance and strategic needs., • Coordinate with cross-functional teams and external advisors to deliver project outcomes., • Identify, assess, and mitigate tax risks associated with new regimes and complex transactions., • Oversee the preparation and review of tax filings, disclosures, and documentation to maintain audit readiness., • Mentor and develop tax team members, fostering technical growth and leadership skills., • Provide training and knowledge-sharing sessions on complex tax topics and regulatory changes., • Support succession planning by identifying and nurturing future leaders within the team., • Act as a key liaison between the Tax Team, Firm leadership, and external advisors on partnership tax matters., • Communicate complex tax concepts and project updates clearly to both technical and non-technical audiences., • Advise on the tax implications of Firm initiatives, transactions, and business strategies., • Contribute to the development and execution of the Firm's overall tax strategy., • Monitor industry trends and proactively recommend actions to maintain the Firm's competitive and compliant position. Qualifications • Bachelor's degree in accounting, finance, or a related field; advanced degree (e.g., JD, LLM, MST, or MBA) preferred., • 8-10 years of experience in US partnership tax, preferably within a professional services firm, law firm, or Big Four accounting firm., • In-depth knowledge of US partnership tax rules; knowledge of international tax regimes (including Pillar 2), and current tax developments affecting partnerships and professional services firms preferred., • Experience managing multiple complex projects simultaneously, with strong organizational and prioritization skills., • Proven ability to lead, mentor, and develop team members in a dynamic and fast-paced environment., • Excellent interpersonal skills, • Strong analytical and problem-solving abilities, with a track record of delivering practical solutions to complex tax issues., • Excellent written and verbal communication skills, with the ability to explain complex tax concepts to both technical and non-technical audiences., • Experience engaging with senior leadership, external advisors, and cross-functional teams., • Team player, • Proficient in Excel & Word, • Knowledge of Alteryx preferred but not a must (will train), • Highly motivated, assertive and proactive, • Customer-service oriented, • Strong work ethic Essential Job Requirements • Strong academic record and intellectual curiosity, creative thinker, • Commercial and business awareness, • Ability to see the big picture, • Strong time management skills, ability to stay calm under pressure when juggling multiple tasks, • Client service focus, • Team player, • Strong judgment, • Proactive, resourceful, takes initiative, • Experience working in a professional services environment, • Flexible, committed and enthusiastic., • Attention to detail., • Exposure to client relationship management., • Influencing and negotiating skills., • Good systems skills including Word, Excel, PowerPoint and CRM applications., • Creative and strategic mindset., • Ability to work on own initiative., • Ability to work under pressure and under tight deadlines. Salary Range: $174,000 - $239,800 This role reports to Director of Tax Equal Opportunities White & Case is an Equal Employment Opportunity (EEO) employer and is committed to creating a fair workplace. It is our Firm's policy to recruit, employ, train, compensate and promote without regard to race, color, religion, creed, national origin, age, gender, sexual orientation, marital status, military or veteran status, disability, genetic information, or any other category protected by applicable law. Applicants who are interested in applying for a position and require an accommodation during the process should contact . Benefits at White & Case White & Case LLP offers a comprehensive suite of benefit programs to all eligible employees, including medical, dental, and vision insurance, life and disability coverage, 401(k) retirement savings, vacation time, and leave programs (including parental leave). Exempt roles are also performance bonus eligible. The Firm may modify and amend any job description at any time in its sole discretion. Nothing herein creates a contract of employment or otherwise modifies the at-will nature of employment. The above is only a general description of the essential duties associated with this position and does not represent an exhaustive or comprehensive list of all duties. New York Pay Range: -. Salary range in other markets will vary. Note to Recruitment Agencies Our internal Recruitment team manages all aspects of lateral hiring. All agencies must have signed terms of business-specific to the relevant office-before submitting any candidates. CVs or applications sent directly to White & Case partners or employees will also not be considered formal introductions. If you have questions, please contact the relevant Recruitment team. We work with our preferred suppliers when engaging agencies.

Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business. As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include: * Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax spending accounts including health care FSA and commuter savings * Flexible paid time off * Professional development reimbursement and ongoing skills training opportunities * Employee resource groups * Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. About the Role As a Senior Data Analyst, Risk & Fraud, you will leverage data and analytical techniques to detect, investigate, and mitigate fraud and financial risk across the business. You will transform large, complex datasets into actionable insights that support real-time decision-making and long-term risk strategy. This role partners closely with stakeholders across Fraud Operations, Payments, Risk, and Compliance to identify emerging threats, uncover patterns in user behavior, and enhance detection and prevention frameworks. You will play a key role in analyzing transactional activity, monitoring fraud trends, and driving data-informed improvements to controls and processes. This is a fast-paced, high-impact environment where success is defined by your ability to translate data into clear, evidence-based recommendations that reduce risk and improve operational efficiency. Responsibilities * Analyze large-scale transactional and behavioral data using SQL to identify fraud patterns, emerging threats, and key risk signals across the customer lifecycle. * Design and develop scalable analytics solutions and automations (e.g., Python, Streamlit - a plus) to support fraud detection, investigation workflows, and operational efficiency. * Build and maintain dashboards and monitoring tools (e.g., Power BI) to track fraud, payments, and risk performance metrics, reducing manual investigative effort. * Support the development and optimization of fraud detection strategies, rules, and risk indicators through data-driven analysis and testing. * Perform deep-dive investigations into suspicious activity (e.g., multi-accounting, geolocation anomalies, payment abuse) to uncover fraud networks and inform mitigation strategies. * Ensure data quality, integrity, and consistency across fraud and risk reporting through strong validation, documentation, and control processes. * Partner closely with Fraud Operations, Payments, Risk, and Compliance teams to translate analytical findings into actionable insights and measurable process improvements. * Communicate complex fraud trends and investigative findings clearly and effectively to both technical and non-technical stakeholders Qualifications * Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics), or equivalent experience in data analytics within risk, fraud, or payments * 3+ years of experience in data analysis within risk, fraud, payments, or a related domain * Strong analytical skills with proficiency in SQL and experience with data visualization tools (e.g., Power BI) * Experience working with Python for data analysis or automation (preferred) * Experience analyzing transactional or behavioral data to identify trends, anomalies, or risk signals * Excellent communication skills, with the ability to translate complex findings into clear, actionable insights for non-technical stakeholders * Strong problem-solving mindset with a focus on continuous improvement * Ability to work in a fast-paced environment, adapt to changing priorities, and deliver under tight deadlines * Proficiency with Microsoft Excel and PowerPoint for analysis and presentation of findings * Strong troubleshooting skills, with the ability to identify, investigate, and resolve data or process issues * Naturally curious, with a proactive approach to solving business and risk-related problems * Strong verbal reasoning and critical thinking skills * Data-driven mindset, using quantitative analysis to inform decisions and recommendations * Ability to understand stakeholder needs and translate them into effective analytical or technical solutions Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. If you need assistance or accommodation with your application due to a disability, you may contact us at . This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-JLEE

Be part of an amazing story Macy's is more than just a store. We're a story. One that's captured the hearts and minds of America for more than 160 years. A story about innovations and traditions...about inspiring stores and irresistible products...about the excitement of the Macy's 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We've been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview The Associate, External Communications supports our brand and product communications efforts for Macy's. This role creates and executes integrated communications and public relations strategies that bring the Macy's narrative to life across the country. They focus on brand campaigns, product / brand launches, national and local media, key store-related intiatives, social impact activations, local community events, initiative-based launches, and crisis communication. The Associate also works closely with the team to protect the Macy's brand by managing media relations, de-escalating media emergencies, and addressing public issues related to the Macy's brand nationwide. What You Will Do • Enhance the company's storytelling to showcase why Macy's is a leading brand and retail innovator., • Develop and execute short- and long-term strategies for key company initiatives involving brand and product such as new partnerships and collaborations, expansions, and consumer campaigns and activations to generate positive media coverage., • Build and maintain strong, productive relationships with traditional and non-traditional media contacts, focusing on national and priority media markets across all regions., • Create and edit press materials and media advisories, manage new media content development, and pitch stories for ongoing placements., • Cultivate strong relationships with internal and external leadership, including company executives, brand and product leadership, civic partners, and non-profit organizations., • Provide media training for spokespeople, focusing on thought leadership for key company executives to represent Macy's nationally and in their respective markets., • Manage complex, fast-moving, and unexpected communications challenges and media interactions effectively., • Collaborate with the External Communications Team to recap media results quarterly and by project., • Review internal and external communications materials to ensure alignment with the organization's overall mission and goals., • Assist in managing the budget for the brand and product communications pillar., • Oversee multimedia websites for brand and brand & product initiatives., • Address brand and product-related communications, including store closures., • Lead crisis management efforts, including handling various events and natural disasters. Storytelling and Communication: Ability to craft compelling narratives and develop integrated communication strategies that enhance Macy's brand image. Strong command of language and writing for various materials including communications plans, press materials, and executive messaging. Media Relations: Proven success in building and maintaining relationships with traditional and non-traditional media, including pitching stories and managing media interactions. Established contacts with consumer and business media outlets are highly desirable. Strategic Thinking: Experience in developing short- and long-term communication strategies, including crisis management and handling complex communications challenges. Interpersonal Skills: Strong ability to build and maintain relationships with internal and external stakeholders, including executives, store leadership, civic partners, and non-profits. Highly collaborative and effective in team settings. Project Management: Excellent organizational skills with the ability to manage multiple projects simultaneously. Experience in overseeing budgets and managing communication initiatives effectively. Crisis Management: Experience in handling crisis communication and media interactions related to various events, natural disasters, and other unexpected challenges. Creative and Proactive Thinking: Innovative and confident thinker with a proactive approach to problem-solving and issue mitigation. Technical Proficiency: Advanced use of Microsoft Office suite, media monitoring programs, and social media channels. Writing and Editing Skills: Strong ability to create and edit press materials, media advisories, and new media content. Skilled in developing concise and engaging content with a conversational voice. Independent Work: Ability to work independently with minimal supervision, making sound decisions and managing communications effectively. Personal Impact and Credibility: Strong personal impact with the ability to build relationships and establish credibility easily. Who You Are • Candidates with a bachelor's degree or equivalent work experience in a related field are encouraged to apply. 5+ years of experience in public relations, media relations, communications, or a related field. Prior retail experience a plus., • Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision., • Able to work a flexible schedule based on department and company needs. Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities. Some additional benefits we offer include: • Merchandise discounts, • Performance-based incentives, • Annual merit review, • Employee Assistance Program with mental health counseling and legal/financial advice About Us This is a great time to join Macy's! Whether you're helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people's lives. Join us and help write the next chapter in our story - Apply Today! This job description is not all-inclusive. Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment. CORP00

Position Overview: The Group Director, Audience Analytics is a strategic leadership role responsible for shaping and driving audience work for a major entertainment client. This role leads a team of approximately six and is critical in developing innovative, data driven audience visions, translating them into actionable plans, and securing client buy-in across a diverse portfolio of entertainment properties. This leader must be a compelling storyteller through data, capable of translating complex information into clear and actionable insights. The Group Directorwill be a key partner to the client, internal strategy, media planning, and activation teams, ensuring audience insights are at the heart of marketing and media decisions, both strategically defining target customers and tactically building audience segments for activation. This leader will champion a data-driven approach to audience understanding, segmentation, and activation, focused on driving business growth for the client. A critical component of this role includes portfolio-level insights that guide not only media execution but also broader marketing and business strategies and supporting client (POVs) on key audience-related topics. Responsibilities: • Audience Vision & Strategy:, • Lead the development of comprehensive audience strategies and visions that align with the client's overall business objectives and marketing goals,overseeing the audience work across both the holistic portfolio level and for individual brands within that portfolio., • Identify and champion new and innovative approaches to audience targeting, segmentation, and engagement, leveraging the latest data, technology, and industry trends., • Steer the creation of compelling audience narratives and presentations that effectively communicate insights and recommendations to clients and internal stakeholders., • Own the development, maintenance, and evolution of comprehensive audience playbooks that document best practices, audience insights, segmentation strategies, and activation tactics. Ensure the playbooks are regularly updated and promoted across the team., • Data Stewardship & Integration, • Oversee onboarding, integration and adoption of first-party data into IPG's InterAct platform, including legal and operational coordination., • Pioneer novel approaches and work to best frame the use of data in all use cases from understanding and helping on client's data roadmaps, activating omni-channel addressable strategies, guiding dynamic creative strategies, etc., • Guide development and management of client's data driven marketing by educating clients on how data and tech can help unlock consumer insights and activation/engagement., • Team Leadership & Development:, • Manage, mentor, and develop a team of audience professionals, fostering a collaborative and high-performance environment., • Provide guidance and support to team members in the development of audience insights, segmentation strategies, and activation plans., • Implement processes and required standardization best practices to ensure audience/data integrity across Audience team outputs., • Ensure the team has the necessary resources, training, and tools to effectively execute their responsibilities., • Promote a culture of innovation, continuous learning, and data-driven decision-making within the team., • Client Relationship & Management:, • Serve as a primary point of contact for senior-level client stakeholders, building strong relationships and establishing trust., • Proactively identify client needs and opportunities to enhance audience strategy and drive business growth., • Present audience insights, strategies, and recommendations to clients in a clear, concise, and persuasive manner., • Manage client expectations and ensure the timely delivery of high-quality work., • Support the development of client points of view (POVs) on key audience-related topics, such as data privacy, emerging platforms, and evolving consumer behavior, providing data, insights, and strategic recommendations. Where necessary, develop and present client POVs on behalf of the agency., • Cross-Functional Collaboration:, • Collaborate closely with internal strategy, media planning, and growth analytics teams to ensure audience insights are integrated into all aspects of the process., • Partner with the audience science team to leverage advanced modeling and data mining techniques to enhance audience understanding and segmentation., • Work with media partners and technology vendors to identify and implement innovative audience targeting solutions., • Be an Audience/Data expert and partner with internal teams and vendors to deliver POVs, drive excellence and ensure seamless execution from strategy to activation., • Partner with Growth Analytics to determine success metrics and KPIs, optimize performance and provide reporting updates based on Audience segmentation and learning agendas., • Innovation & Thought Leadership:, • Stay abreast of the latest trends and best practices in audience strategy, data analytics, and marketing technology., • Identify and champion opportunities to develop thought leadership content and present at industry events., • Proven history of developing and implementing successful addressable audience strategies that drive business results., • Strong understanding of audience segmentation, targeting, and activation techniques across various media channels., • Experience with data management platforms (DMPs), customer data platforms (CDPs), and other marketing technology solutions., • Excellent communication, presentation, and people skills, with the ability to effectively communicate complex information to both technical and non-technical audiences., • Proven ability to lead and develop high-performing teams., • Strong client management skills, with the ability to build and maintain relationships with senior-level stakeholders., • 8+ years of experience in audience strategy, data analytics, or marketing, in an agency environment. Focus on the entertainment industry a plus., • Advanced analytics and strategic market research knowledge are a plus., • Familiarity with IPG's InterAct platform or similar data and analytics tools., • Understanding of the entertainment landscape, including trends in content consumption, audience behavior, and media platforms We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications. It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email ___. Salary Range$180,000—$200,000 USD

Description Leidos is seeking an experienced Senior Network Delivery Architect for our Resilient Network Practice. POSITION SUMMARY: The successful candidate will be responsible for providing hands on technical expertise with Mission Drivers within the Network Practice of the Digital Modernization (DigMod) Sector. As a Network Practice Sales Engineer/Architect , you'll be a critical bridge between technical expertise and business development. Your role will focus on promoting Leidos Network solutions to federal clients, ensuring alignment with their needs and driving successful adoption of Leidos Mission Drivers. Duties may include developing innovative approaches and solutions, using non-quantitative tools and guidelines from experience. WORK LOCATION: We're looking for someone available to work onsite in Newark, NJ for a defined period, initially. The role offers some telework flexibility, but candidates must be willing and able to travel to other future customer sites and work onsite as needed. CLEARANCE REQUIREMENT: No initial clearance is required to start; however, you must be able to obtain and maintain a DoD Secret security clearance. (US Citizenship required). PRIMARY RESPONSIBILITIES: Technical Expertise: • Maintain a deep understanding of network technologies (e.g., IaC, SD-WAN, wireless, NFV)., • Maintain a deep understanding of Leidos Network Mission Drivers and be able to articulate technical benefits, features, and use cases to potential clients., • Stay informed about network trends, competitive landscape and emerging technologies to effectively position Leidos capabilities and offerings., • Lead strategic initiatives to enhance the Leidos offerings portfolio, leveraging your deep technical knowledge and industry insights. Client Engagement: • Be the Network Practice Area technical Sales Engineer/Architect that works with Leidos DigMod Sector CTO, Business Groups and Growth to identify customer requirements and propose tailored solutions and offerings., • Direct, conduct and participate in technical presentations, demonstrations and workshops for government customers., • Work with DigMod CTO organization to leverage and create sandbox, demonstration environments for hosting Network Practice repeatable offerings., • Develop and maintain high-level relationships with key stakeholders and decision-makers to drive strategic opportunities and long-term partnerships., • Provide consulting and thought leadership to influence client decision-making and drive project success. Solution Architecture: • Partner with Leidos capture teams, solutions architects, and engineers to design secure, resilient, and scalable networking solutions that meet customer requirements, including MPLS-based transport, carrier-neutral facility interconnects, SD-WAN overlay architectures, and wireless access technologies, tailoring repeatable offerings accordingly., • Architect enterprise and mission-scale network solutions leveraging multi-cloud connectivity patterns, including hybrid and cross-cloud networking, secure cloud on-ramps, and integration with carrier-neutral data center ecosystems to support federal mission needs., • Design and oversee implementation of advanced segmentation strategies, including micro-segmentation and policy-based network controls, to enhance security posture, zero trust alignment, and workload isolation across on-premises, cloud, and edge environments., • Develop and implement innovative solutions to address complex technical challenges across multiple sectors, applying deep expertise in SD-WAN overlays, wireless technologies, and multi-transport networking using creative problem-solving and advanced technical judgment., • Architect and govern the delivery of enterprise-scale network solutions, ensuring alignment with organizational strategy, client mission objectives, and evolving technology standards., • Champion network architecture best practices and drive continuous improvement of Leidos Network Practice offerings based on market trends, emerging technologies, and client feedback., • Serve as the lead technical contributor for proposal and RFx efforts, with primary responsibility for solution architecture, technical narratives, and pricing inputs related to network transport, cloud connectivity, and security segmentation strategies., • Deploy, maintain, and demonstrate Network Practice Repeatable Offerings, including SD-WAN, multi-cloud connectivity, wireless, and micro-segmentation capabilities, to internal business areas and current and prospective customers. Collaboration: • Collaborate with practice area team members, client stakeholders, and external partners, including sub-contractors and suppliers, to ensure effective communication and project alignment., • Influence practice area and sector leaders on solution design and process improvements, advocating for strategic approaches and best practices., • Lead cross-functional teams to drive alignment and ensure the successful delivery of complex, multi-dimensional projects. BASIC QUALIFICATIONS: • Master's degree with minimum of 15+ years in network architecture or engineering roles, with a robust background in designing, implementing, and optimizing solutions in network environments; additional years of experience may be substituted in lieu of degree., • Extensive experience in NMS, multi-transport, and infrastructure-as-code concepts., • Demonstrated expertise in designing and deploying scalable infrastructure incorporating cloud environments using both established and cutting-edge technologies., • Proven track record of resolving complex technical challenges in Network architectures., • Strong leadership skills with a successful track record of leading teams in the implementation of Network solutions, fostering collaboration and innovation., • Ability to effectively manage projects, prioritize tasks, and meet deadlines in dynamic Network environments. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $139,100.00 - $251,450.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Title: Part-Time IT Instructor - DOL GAINS Grant Department: Assoc Provost Continued Learning Of Reports To: Associate Director, Workforce Development Position Type: Staff Position Summary: The Learning and Development, the non-credit division of NJIT, seeks an experienced technical instructor for a grant-funded role. This position ends December 14, 2026 unless further funding is secured. Essential Functions: -Instruct non-degree apprentices in fundamentals of networking, introduction to computer science, CompTIA, Microsoft Administrator on an hourly basis. Additional Functions: -Complete documentation for compliance purposes. -Host office hours evenings and weekends. Administer coursework through LMS. Prerequisite Qualifications: -High school diploma and evidence of post-secondary studies (college credits) towards a degree in business management, accounting, finance, or a related field. -Minimum of 3-5 years' experience in a comparable position. -Proficiency in Microsoft Office Suite, Google Drive Suite Products, and/or compatible applications. -Strong oral and written communication, as well as problem-solving skills. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -Associate's Degree. -Minimum of one to two years' experience, preferably in a higher education environment. -Experience with financial databases and computerized accounting systems such as Banner. -Ability to prioritize and manage multiple projects, work in teams, and adapt to change. Salary Information: In compliance with the NJ Pay Transparency Law, the hourly rate for this position is $80.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Non-Exempt Part-Time Apply NowShare Save Job

Why Join the Willdan Team Willdan has delivered Building and Safety services for over 60 years, partnering with municipalities, universities, healthcare systems, and tribal entities. Our expertise spans permit services, plan review, inspections, code enforcement, fire-life safety, accessibility compliance, flood zone analysis, and disaster recovery. We are currently seeking a Plans Examiner to support municipal clients in the Pelham, NY area. This is a remote position based out of New York. This role offers the opportunity to work on diverse projects while contributing to public safety and code compliance within the built environment. As a Plans Examiner, you will play a critical role in ensuring that construction plans comply with applicable building codes, zoning regulations, and safety standards. You will collaborate with architects, engineers, contractors, and public agencies to facilitate compliant project approvals and maintain high standards of safety and quality. What You'll Do • Perform detailed plan reviews for compliance with the New York State Building Code and applicable local regulations., • Review architectural, structural, fire and life-safety, accessibility, and egress components of construction documents., • Evaluate plans for consistency with zoning requirements and applicable amendments., • Provide clear, accurate, and defensible code interpretations and written review comments., • Coordinate professionally with design professionals, municipal officials, and internal staff., • Maintain accurate, organized, and timely documentation of plan reviews and decisions., • Assist applicants in understanding code requirements and resolving compliance issues., • New York State Department of State Code Enforcement Certification (required)., • ICC Plans Examiner Certification (Building preferred; additional certifications a plus)., • Demonstrated experience in municipal or third-party plan review., • Strong working knowledge of New York State code amendments and local regulations., • Excellent written communication skills and sound professional judgment., • Thorough understanding of the NYS Uniform Fire Prevention and Building Code and local zoning laws, • Ability to read, interpret, and analyze construction plans, specifications, and technical documents, • Strong ability to communicate effectively with the public, design professionals, and government agencies., • Experience with permit tracking systems, digital plan review tools, and standard office software., • Primarily office-based with potential interaction with municipal offices and stakeholders. Public Agency Resources participates in E-Verify.

Title: TA /Tutor Upward Bound 2 Department: TRiO Reports To: Director TRIO Programs Position Type: Staff Position Summary: Under the Direction of the Trio Program Director and staff, the TA/Tutor will assist Program Instructors with the delivery of in-class instructional materials, as well as assist program participants with their adjustment to the program. Essential Functions: • To help facilitate classroom instruction to assist students with comprehending classroom work and instruction., • Provide tutorial assistance in assigned study hall, assist with technical issues., • Assist the program counselors with planning and evaluation of tutorial services., • Inform the Program Director and other staff on matters regarding the progress of students enrolled in the program., • Supervise and ensure the safety of all participants., • Function as role models and assist staff with other program-related activities such as field trips, seminars, office work, etc. Prerequisite Qualifications: • Must have a college degree or be enrolled in college making satisfactory academic progress., • Should have a 2.5 or higher GPA., • Must have the ability to relate to minority and disadvantaged high school students., • Candidate must be available to attend training and orientation and must observe and enforce all of the program policies, rules and regulations., • At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Salary Information: In compliance with the NJ Pay Transparency Law, the hourly range for this position is $16.00-$20.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, or other items. FLSA: Non-Exempt Part-Time Apply NowShare Save Job

Knowledge Management Attorney - Fund Formation Cooley is seeking a Knowledge Management Attorney to join the Practice Engineering team within the Innovation department. Position summary: As a leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley is committed to enhancing client satisfaction and delivery of legal services through high-quality software and next-generation technology. The Knowledge Management Attorney will ensure that the design and implementation of document automation software and pipelines aligns with underlying legal processes. This role is responsible for the creation of standard forms, guidance and training materials for assigned practice group(s). The Knowledge Management Attorney will work closely with product engineers and product managers to create and maintain data models to effectively model and capture practice group workstreams. They will also monitor legal, market, trade association and regulatory developments. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: * Working with practice group leadership and with assistance from attorneys in the assigned practice group, identify, draft and maintain standard forms, precedent and guidance materials * Coordinate and monitor the collection, deployment, and maintenance of standard forms and practice group knowledge across Cooley's software portfolio * Serve as a subject matter expert and resource for practice group attorneys, the Practice Engineering team, the Practice Innovation teams, and other parties consulting on the creation and deployment of new tools, processes, and data products to assign practice group and its clients * Prepare high-quality thought leadership materials for attorneys and clients regarding Cooley practice group services and software * Partner with product managers and practitioners to prioritize form collection, template automation, and automated testing based on business value, user feedback, and regulatory requirements * Assist with automation efforts for practice group work product and processes * Develop automated testing methodologies to support seamless and efficient deployment of updated legal language via digital platforms * Assist with usability and accessibility testing to ensure legal software enhances user experience for attorneys, clients, and business professionals * Identify potential risks and vulnerabilities within legal work product produced in part with AI-powered and deterministic software applications, collaborating on proactive mitigation strategies. * Promote continuous learning across the group in the needs of the assigned practice group and the impact of solutions delivered to-date * Foster strong working relationships between practitioners, QA, software engineering, legal engineering, and operations to enhance collaboration across departments * All other duties as assigned or required Skills and experience: Required: * After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications * Ability to work extended and/or weekend hours, as required * Ability to travel, as required * 4+ years of experience as a practicing attorney, preferably with a large law firm * Active member in good standing or registered in-house counsel of the bar(s) in all jurisdictions from which you regularly work, as well as the jurisdiction in which your assigned office is located, if applicable * Juris Doctor(ate) or non-US equivalent * Strong analytical skills with attention to detail for identifying defects and inconsistencies * Demonstrated commitment to structuring forms and templates for minimal and ease-of-maintenance Preferred: * In-depth industry knowledge, including familiarity with the major players in the designated practice area * Ability to solve problems relating to both technical issues and situations involving the coordination of practicing attorneys, technical resources, business stakeholders * Ability to manage a portfolio of complex projects and open-ended investigations * Self-starter willing to raise issues and propose solutions in advance of asks from the practice Competencies: * Strong leadership in shaping software testing processes * Excellent communication and collaboration skills across technical and legal teams * Ability to effectively assess risks and propose solutions to systematically reduce risk * Comfortable working in a fast-paced legal technology environment with cross-functional teams * Excellent communication and interpersonal skills, with the ability to translate technical concepts to legal professionals and senior executives * Ability to influence and collaborate with multiple stakeholders across various departments (legal, IS, etc.) * Ability to work effectively in a highly matrixed team environment * Outstanding communication skills Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $225,000 - $320,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Product Discovery and Strategy Manager Cooley is seeking a Product Discovery and Strategy Manager to join Cooley's Practice Innovation team. Position summary: As a leading technology law firm, Cooley is determined to become a leader in the digital practice of law. The Product Discovery and Strategy Manager is responsible for managing Cooley's new practice Innovation pipeline. This role is responsible for the product discovery, user research, and incubation process, evaluating and prioritizing innovation initiatives, and incorporating AI and emerging technologies to create a competitive advantage for Cooley's world-leading legal practices. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to embody this attitude. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: * Manage the practice innovation pipeline to discover, incubate, pilot and evaluate new product opportunities that will yield the greatest benefits to the firm and its attorneys * Leverage best practices in user research and design to deeply understand attorney and client pain points, and identify high-value opportunities to improve legal workflows * Refine, systematize and scale the practice innovation pipeline process to promote greater efficiency, uniformity, and transparency into how product decisions are made * Identify and evaluate practice innovation opportunities leveraging cutting-edge emerging technologies and AI advancements * Foster strong working relationships with change management, innovation counsel and product, engineering, and other teams to evaluate products and use cases, run pilots, launch products and drive engagement * Collaborate in cross-functional intake and prioritization across technology and operations departments * Collaborate with the Associate Director of Practice Innovation and innovation leadership to develop and manage data-driven evaluation process to quantify the business value of practice-facing products * Manage direct report(s) with a focus on fostering a high-performance, collaborative, innovative, and results-driven team culture * Collaborate in the development of and adoption of unified work management practices across practice innovation to promote transparency, clarity, scalability and efficiency * Serve as direct supervisor and mentor to direct reports * Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests * Support business professional development and continued educational opportunities * In collaboration with immediate supervisor and CN HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events * All other duties as assigned or required Skills & experience: Required: * After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications * Ability to work extended and/or weekend hours, as required * Ability to travel, as required * 5+ years of directly applicable experience (e.g., user research, design thinking or human centered design facilitation, product discovery process, prototyping, legal technology use and adoption, quantitative evaluation). Eligible for consideration of Senior designation with 7+ years applicable experience in the field with 2+ years of exempt/management experience in relevant roles * Experience in managing cross-functional projects involving users, product and design, knowledge management, technology and practicing lawyers or clients Preferred: * Bachelor's degree, Juris Doctor(ate) or non-US equivalent * Experience with core large law technologies such as iManage or NetDocs, Elite 3E, Intapp products, Litera products, Thomson Reuters and Lexis products * Advanced knowledge of the workflows and the core needs of practicing lawyers * Strong understanding of legal technology, emerging technology and AI * Strong effective presentation experience and skills to varied audiences * Experience with technology usage data and metrics and ability to leverage data for insights and storytelling using data visualization applications such as Power BI and Tableau * Project management experience * Supervisory experience Competencies: * Strong focus on identifying core user and business needs and delighting users at scale * Advanced knowledge of product process (including design thinking and human centered design methodologies), and experience in facilitating user research and journey mapping * Strong leadership experience and ability to build, manage and mentor a team * Excellent communication and interpersonal skills, with the ability to translate complex technical concepts to legal professionals and senior executives * Ability to influence and collaborate with multiple stakeholders across various departments (product, engineering, change management, practicing attorneys, clients, etc.) * Strong prioritization, project management, creative problem-solving and time management skills * Ability to focus on detail without losing sight of bigger picture Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $125,000 - $190,000. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Director of IP Client Service Cooley is seeking a Director of IP Client Service to join Cooley's IP Team. About Cooley: Cooley is a global law firm with an expansive practice and more than 3,000 employees and partners worldwide. We value and celebrate diverse perspectives and strive to create a workplace where every individual can thrive. At the core of Cooley's success is the exceptional talent and unwavering spirit of our people. We embrace individuality while fostering a 'one-firm' culture where collaboration and creativity thrive. Our people are the foundation of our success and the driving force behind everything we do. Hybrid Schedule Philosophy: As part of the Cooley culture, we recognize and appreciate the value of being together, in person, to build comradery with others in the office and to be a contributing member of the Cooley office. However, we also appreciate the benefits and flexibility that come from remote working. As such, the default assumption for employees and partners is a hybrid schedule: some in-office presence and some work from home days absent certain essential in-office roles that require five (5) days/week in-office. Your supervisor will share more details about the hybrid schedule expectation for this role. Position summary: The Director of IP Client Service is responsible for the management of client-facing specialist teams and providing leadership and direction to strategically manage internal/external client service at an operational level with focus on efficiency, process improvement, risk management, quality control, workflow, or other processes impacting client service. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: Client service: * Balance and evolve service strategy with a focus on team performance that enable excellence in client service and operational efficiency * Proactively engage with practitioners to ensure that client service is effective and efficient * Evaluate processes and procedures, orchestrating improvements to client service * Collaborate with direct report managers and supervisors to proactively identify issues, compliance, risks, and team priorities and propose appropriate courses of action * Work collaboratively with direct report managers and supervisors to conduct quality control reviews of client facing specialist team members to ensure accuracy, consistency and adherence to the rules of 37 C.F.R., Best Practices and other procedural guidelines * Ensure direct report team needs are correctly prioritized in order to focus on effective allocation of resources, to deliver measurable and significant value * Develop matrices to measure, evaluate and report on the effectiveness of the client service teams * Establish accountability processes to ensure efficiency and accuracy of services provided * Effectively delegate tasks across the direct report manager and supervisor teams * Identify and eliminate root cause barriers to accuracy, productivity, and quality * Ensure team members are developing the skills and knowledge to carry out their role effectively * Identify skill gaps and implement necessary training to ensure performance standards are met * Coach and develop direct report managers and supervisors to achieve client service and operational quality, consistency and high-level customer service * Assess internal training and professional development effectiveness to ensure performance outcomes are achieved within budget and department objectives * Ensure department employee training is consistent with the requirements and standards of IP Employee Learning and Development programs * Ensure accurate and timely entry of billable, non-billable time and fixed fees * Manage realization rate of collection for billed services to identify challenges early and make adjustments to maintain profitability. Recommend changes to improve fixed fee and hourly billing practices and rates Strategic management: * Collaborate with the Director of IP Operations to assist with the development or enhancement of systems and processes to provide the most effective and efficient service to clients ensuring internal processes align with other internal team processes, where applicable * Develop and coordinate methods to ensure implementation of BPC policies and directives, collaborating with the Patent Leadership Committee, practice group Resource Attorneys, the Director of IP Operations, and IP Services management * Work closely with firm wide support departments, technical colleagues and other subject matter experts to streamline department processes * Analyze and recommend staffing strategies to adjust for volume and growth Portfolio management: * Collaborate with senior practitioners to manage and oversee client support team reassignments for complex clients to ensure seamless handoff * Serve as escalation point for critical client issues and work closely with senior practitioners, IP Services management team and other departments to ensure appropriate management and issue resolution * Proactively solve complex client service issues to improve service levels * Customize workflows based on client portfolio and practitioner expectations Local office IP support: * Serve as local office IP Services management resource to ensure group-wide services are effective * Proactively engage with practitioners and business professionals, developing working relationships to be an effective gateway to all services of the IP Services department * Assist with troubleshooting issues and work closely with IP Services management team to provide responsive and efficient people or systems support to meet practitioner and client needs General responsibilities: * Work effectively and collaboratively as a team leader and member * Work within the guidelines of established IP principles and practices * Interpret, clearly communicate and effectively enforce policies and procedures * Maintain high standards for internal/external client service and quality control * Inspire and lead in a way that gets the best contribution from a wide range of team members * Prepare and deliver oral and written communications that are concise, convey tenacity, enthusiasm and innovative thinking * Perform as a strategic partner to nurture new ideas and concepts. Identify, lead and manage innovative approaches to business challenges and work with the Patent Leadership Committee, IP Management, BPC and other departments to evolve operations and system processes that increase efficiency and mitigate risk * Moderate and facilitate meetings comprised of IP partners, associates, practice group professionals and other IP Services business professionals; set and manage realistic expectations for project deliverables; put ideas into a practical context and coordinate efforts of multi-disciplinary teams to meet project deliverables * Continuously review productivity and efficiency of employees; coordinate with HR to recommend educational opportunities to provide training that will enhance employee performance * Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Review and process time logs as needed (pertains to non-exempt direct reports) * Participate in hiring, performance appraisals, counseling, terminations and other employee lifecycle events in conjunction with HR, IP Senior Staffing & Employee Resource Manager and direct manager * Keep Director of IP Services apprised of all business professional and management performance problems (managed day-to-day by the HR Business Partner, IP Senior Staffing & Employee Resource Manager, and direct manager) * Work closely with HR, Director of IP Services and IP Senior Staffing & Employee Resource Manager, and direct reports to ensure all performance concerns are properly documented and addressed. * In coordination with HR, prepare and maintain detailed and timely performance counseling notes * Immediately report all risk management-related concerns following proscribed risk reporting process detailed in both the Patent Policies & Procedures and TCA Manuals * Independently manage and work collaboratively on special projects * Provide backup to IP Services management team members, as required * All other duties as assigned or required Skills & experience: Required: * After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications * Ability to work extended and/or weekend hours, as required * Ability to travel, as required * Bachelor's Degree or creditable experience * Minimum 10 years' directly applicable IP experience with 5+ years' experience at a manager level with a professional services firm, preferably a law firm * Proven experience managing, developing and mentoring managers and teams across functional areas of responsibility * Project management experience * Proven ability to identify and analyze complex issues and problems in management areas, and recommend and implement effective solutions Preferred: * Experience in a professional services or law firm environment, with proven ability to coach and motivate * Experience researching IP status and history in PTO databases, including USPTO systems (PatentCenter, TSDR), WIPO Patentscope and Madrid Monitor, the EPO Patent Register, and EUIPO eSearch, as well as public databases in other jurisdictions * Possess working knowledge and keep abreast of rules according to USPTO procedures, 37 C.F.R., the Manual of Patent Examining Procedure (MPEP) rules, and the Trademark Manual of Examining Procedure (TMEP) Competencies: * Work effectively and collaboratively as a team leader and member * Interpret, clearly communicate and effectively enforce policies and procedures * Maintain high standards for internal/external client service and quality control * Unwavering ability to handle and maintain confidentiality regarding firm information, projects, client data. * Inspire and lead in a way that gets the best contribution from a wide range of team members * Champion and promote creativity and inclusion to help drive positive change * Ability to work independently and under pressure/tight time constraints * High aptitude for multi-tasking * Creative and entrepreneurial approach to problem-solving and process improvement * Strong analytical ability and implementation skills * Strong project management skills * Flexible and agile, ability to reprioritize with changes in the business * Ability to meet deadlines and effectively complete operational and project-based assignments * Strong initiative and a get-it-done attitude * Excellent communication, interpersonal, leadership and management skills * Customer service oriented, as demonstrated by strong attention to detail, organization and ability to prioritize work tasks and manage deadlines based upon internal and external client needs Direct reports. Yes. Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $220,000 - $270,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 25 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Be part of an amazing story Macy's is more than just a store. We're a story. One that's captured the hearts and minds of America for more than 160 years. A story about innovations and traditions...about inspiring stores and irresistible products...about the excitement of the Macy's 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We've been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview The Director of Business Insights- {Insert Domain} leads a team that delivers high-impact, data-driven intelligence to inform strategic decisions across the organization. By staying closely connected to evolving business priorities, the role proactively identifies emerging needs and shapes an insights strategy that drives action. The Director also develops organizational analytics capabilities by mentoring talent, standardizing best practices, and fostering a culture of curiosity and continuous improvement. What You Will Do • Lead, mentor, and coach managers and individual contributors, raising the talent bar across the Enterprise Data & Analytics Team and promoting a culture of continuous improvement., • Act as a trusted partner to executive stakeholders, ensuring alignment between business objectives and insights strategy., • Translate stakeholder goals into actionable plans for the team, enabling strategic support through clear direction and prioritization., • Direct the transformation of complex data into compelling narratives that drive clarity, engagement, and action., • Guide the use of data storytelling techniques to highlight key trends and opportunities for diverse business audiences., • Present key findings and recommendations to senior leadership, influencing data-informed decision-making., • Ensure that interactive dashboards and BI products are aligned with strategic goals and continuously refined for clarity and impact., • Collaborate cross-functionally with the BI Platforms & Design owner, Data Engineering, and Data Governance teams to ensure alignment with data strategies, architecture standards, and governance protocols., • Oversee the accuracy, reliability, and integrity of business insights by implementing robust data validation and quality control processes., • Drive performance and functionality improvements across BI tools and processes, including automation opportunities that enhance scalability., • Stay current on emerging trends and technologies in data analytics and business intelligence to inform team strategy and innovation., • Foster an environment of acceptance and respect that strengthens relationships, and ensures authentic connections with colleagues, customers, and communities. Analytics Leadership: Demonstrated experience as an analytics leader in e-commerce, retail, or consulting, with a strong understanding of business acumen. Visionary Thinking: Ability to establish the future vision of Analytics tools and analysis frameworks, including embedding customer metrics into the digital business dialogue. Capability to think creatively, strategically, and technically to drive business outcomes through analytics. Stakeholder Management: Proactively engages executive stakeholders to understand their challenges and goals. Ability to have a business-first viewpoint. Technical Acumen: Understands our data pipelines and ability to lead BI configurations, advanced report programming, and technical queries (SQL, R, Python, etc.), and use of BI platforms (Power BI, Tableau, etc.). Communication Skills: Effective communication of technical information and solutions to all levels of the business, along with the ability to articulate technical issues clearly. Who You Are • 10+ years of experience driving data insights and building comprehensive dashboards in a retail/e-commerce enterprise setting., • 3+ years in a People Leader role., • An ongoing learner that influences others to think innovatively., • Ability to connect data insights to business strategies and objectives and transform business requirements into compelling presentations, reporting, and dashboards that drive business outcomes., • Ability to clearly and effectively communicate complex issues and insights to a variety of stakeholders, including non-experts., • Passionate about solving customer and business problems., • Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision. Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities. Some additional benefits we offer include: • Merchandise discounts, • Performance-based incentives, • Annual merit review, • Employee Assistance Program with mental health counseling and legal/financial advice About Us This is a great time to join Macy's! Whether you're helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people's lives. Join us and help write the next chapter in our story - apply today! This job description is not all-inclusive. Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment. TECH00

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Exciting Opportunity at MSK: TheHistocompatibility Laboratoryisseeking aLaboratory Technologist with molecular or histocompatibility experienceto join their team. Our laboratory testing focuses on molecular methodologies including Next Generation Sequencing (NGS), in addition to serology. Areas of innovation include development and evaluation of new clinical assays for patient-donor pre-transplant evaluation and post-transplantation monitoring. We offer anon-the-job training program in histocompatibilityallowing the opportunity to apply for a New York State Histocompatibility restricted license. Role Overview: * Perform and maintain competency in the technical and related work in the Histocompatibility Laboratory to support the hospital's Hematopoietic Stem Cell and Bone Marrow transplantation program. Testing includes DNA extraction, PCR, HLA typing by NGS, engraftment monitoringby NGS,KIR typing, and HLA antibody screening. * Interpret molecular data for patient and donor testing. * Have the opportunity to assist with the development and evaluation of new clinical assays for patient-donor pre-transplant evaluation and post-transplantation monitoring. * Contribute to translational research projects. * Assure the accuracy of all tests performed by adhering to the Laboratory's Standard Operating Procedures * Create and help maintain an environment that emphasizes safety following New York State DOH, ASHI, Joint Commission, OSHA and CLIA regulations * Perform routine and advanced equipment maintenance * Contribute to the upkeep and safety of the Laboratory and assures a clean, safe, adequately supplied work area * Participate in the laboratory inventory program that provides adequate inventories of reagents and supplies * Provide direction, training, and feedback on routine laboratory procedures, as assigned * Maintain complete, accurate, legible, neat, organized, up-to-date records/logs/files Key Qualifications: * A Bachelor's Degree in Medical Technology or Clinical Laboratory Sciences * A NY State Clinical Laboratory Technologist License requiredor eligible to apply for NY license or Histocompatibility restricted license * 2+ years of experience working in a clinical laboratory required * 2+ years of experience working in a molecular laboratory strongly preferred. * Excellent computer, verbal and written communication skills * ASCP certification preferred Core Skills: * Adept at crafting partnerships and working collaboratively to meet shared objectives and goals * Very comfortable working in a fast-paced environment Additional Information: * Schedule - Monday - Friday, 9am to 5pm * Location - 327 E. 64th St, New York, NY * Reports to - Manager, Laboratory Medicine Helpful Links: * * Pay Range: $46.26 - $74.00 FSLA Status: Non-Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you’ll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! • This job is a member of the Inflight Entertainment and Connectivity (IFEC) Engineering Team within the Integrated Operations Division., • This position is to provide on-site operational support to WIFI and IFE operations at the airport and remote support to line stations and maintenance bases, including but not limited to ensure monthly media is duplicated and distributed to maintenance in a timely fashion, monthly IFEC operational checks, support IFE software loads via EO or EA written by IFE Engineering, perform reviews of BITE data to identify performance trends, review overnight workload for IFE issues and attend evening maintenance planning meetings., • Develops daily action plans, routing and manpower requests while conducting meetings with production teams, • Investigates IFE and WiFi System reliability issues and processes in coordination with DFW Engineers as directed, • Liaison with local Maintenance Management & Production Control for assignment of IFE and WiFi system related items to the respective aircraft workload, • Follow-up with local stores and materials management for provisioning of required head-end units and Inventory., • Provide support for other cabin-related systems, specifically premium seats., • Bachelor of Science in Engineering required, • BS in Electrical Engineering., • A&P License., • Ten or more years of experience in aircraft In-Flight Entertainment, WiFi, or electrical systems., • Knowledge of Microsoft Office to include Word, Excel, Outlook, etc., • Ability to analyze technical data and make data driven decisions, • Demonstrates aptitude, ability and willingness to take on new roles and responsibilties, • Ability to prepare/deliver presentations that compel acceptance of solutions, • Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network., • Health Benefits: On day one, you’ll have access to your health, dental, prescription and vision benefits to help you stay well. And that’s just the start, we also offer virtual doctor visits, flexible spending accounts and more., • Wellness Programs: We want you to be the best version of yourself – that’s why our wellness programs provide you with all the right tools, resources and support you need., • 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life’s journey? Feel free to be yourself at American.

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Mgr, Machine Learning Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

As the industry leader in water technology, we’re growing and need talented people like you to help us continue to protect the world’s most vital resource. Nalco Water, an Ecolab Company, seeks an Account Manager to join its industry leading sales team. You’ll be responsible for revenue and profit growth of programs and services in targeted accounts. Using a consultative sales approach, you’ll build relationships with existing customers by executing system assurance programs that meet their key business needs. With strong account leadership, you’ll also convert strategic competitive accounts and sell new technologies to current customers. What’s in it For You: * The opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, and healthy environments * The ability to make an impact with a company that is passionate about your career development * Paid training held in the field and at Nalco Water Headquarters in Naperville, IL * Enjoy a flexible, independent work environment * Receive a non-decaled company vehicle for business and personal use * Comprehensive benefits package starting day 1 of employment – medical, dental, vision, matching 401(k), company paid pension, stock purchase plan, tuition reimbursement and more! What You Will Do: * Execute strong team leadership by coaching and training other District Reps, championing corporate initiatives, and by planning and leading portions of District Meetings * Generate and execute sales plans and strategies to close new opportunities within existing customer base, and in major, competitively-held accounts, to meet defined territory profit increase goals. * Work closely with large, strategic current and prospective customers to understand business needs and recommend continuous improvement and innovation plans that will maintain and grow sales within assigned territory * Develop strong relationships with key stakeholders within current and prospective customers, including plant or facility executives * Engage in problem solving by performing system analysis, interpreting data and providing written recommendations to ensure customer operations are performing at optimal levels * Demonstrate the ability to stabilize jeopardy business in large, strategic accounts Position Details: * Candidate must reside within a commutable distance from New York, NY * Territory covers about a 25-mile radius of the surrounding area * Targeted accounts are within the Commercial Real Estate Institutional industry * 25% overnight travel required Minimum Qualifications: * Bachelor's degree * 5 years of technical sales or field sales support experience * Position requires a current and valid driver's license * Immigration sponsorship is not available for this role Physical Requirements: * Drive a company vehicle as required to perform job duties (pre-employment and ongoing motor vehicle record checks will be performed to determine eligibility to drive a company vehicle) * Ability to perform essential functions of the job, with or without reasonable accommodation Preferred Qualifications: * Bachelor’s degree in engineering (chemical, mechanical, industrial) or life sciences (biology, chemistry, etc.) * Water treatment or specialty chemical industry experience * Working knowledge of OR operations> About Nalco Water: In a world with increasing water shortage and contamination challenges, Nalco Water, an Ecolab company, helps customers conserve more than 161 billion gallons of water each year. We work with customers across the world in the light industry (institutional, food & beverage, manufacturing, transportation, textile care, and global high tech) and heavy industry (chemical, downstream, paper, mining, power and primary metals industries) to reduce, reuse, and recycle their water while protecting their systems and equipment. Nalco Water provides the unique opportunity to work with a broad suite of technologies to deliver automated monitoring systems, data analysis and deep technical expertise to increase efficiency, sustainability and performance for our customers. Annual or Hourly Compensation Range The total Compensation range for this position is $118,600-$177,800 which includes base pay and target incentive based on performance, per plan terms. Many factors are taken into consideration when determining compensation, such as experience, education, training, geography, etc. We comply with all minimum wage and overtime laws. Benefits Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families. Click here to see our benefits. If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here. Potential Customer Requirements Notice To meet customer requirements and comply with local or state regulations, applicants for certain customer-facing roles may need to: • Undergo additional background screens and/or drug/alcohol testing for customer credentialing., • Be fully vaccinated for COVID-19, including a booster if eligible, unless a religious or medical accommodation is requested by the applicant and approved by Ecolab. Americans with Disabilities Act (ADA) Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website. Our Commitment to a Culture of Inclusion & Belonging \nAt Ecolab, we believe the best teams are inclusive. We are on a journey to create a workplace where every associate can grow and achieve their best. We are committed to fair and equal treatment of associates and applicants and recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran. \n In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through Affirmative Action (AA). \n We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

Job Description The Role… At Soho House, the Receiver handles and processes all food and beverage stock that is ordered for the house. As the Receiver, you will be responsible for overseeing the overall cleanliness of storage areas, back landing, dry storage, wash area, and walk ins, chef storage, freight elevator, and garbage room. A successful Receiver will maintain an efficient flow of goods, which involves documenting, storing, locating, and distributing stock for the departments. Responsibilities also include the inspection and sort shipments while keeping up with invoices to ensure orders are correct. We hope that you have a great eye for detail, strong reading skills, and an appetite for learning the ins and outs of a high-volume beverage operations! Main Duties • Receive all perishable and non-perishable beverage and food orders and verify plus document the quantity received of all produce, fruits, dry goods, liqueur, chemicals, and supplies., • Provide support to vendors and management in the receiving of all other supplies as needed, • Check received merchandise (quality and quantity) and reject unacceptable merchandise, • Distribute merchandise accordingly to food safety rules and storage orders., • Ensure the smooth working of FIFO of walk ins and freezer, • Conduct inventory as advised and communicate results to management, • Daily checklist with overnight porter, • Wipe down and sanitize all areas of bar storage to maintain a safe and healthy environment for the storage of consumable items, • 1+ years' relative experience with a proven track record of leading a professional, efficient, high quality, service-oriented operation., • Ability to read and write English, ability to read labels and following safety instructions., • Flexible schedule including weekends and holidays., • Must be able to seize, grasp, turn and hold objects with hands., • Must be able to work on your feet for at least 8 hours., • Fast paced movements are required to go from one part of the club to others., • Must be able to move, pull, carry or lift at least 40 pounds. Soho House offers competitive compensation packages that feature global benefits and perks. Whether you're seeking entry-level employment or a new opportunity to expand your profession, we offer training to develop the technical and managerial skills necessary to enhance your career. • Health Care + 401K: Full time employees are eligible for full benefits; Medical, Dental & Vision as well as Retirement fund with a 2% match, • Paid Time Off: Full- Time Employees have sick day's + vacation days, • Career Development: Soho House can progress your career domestically or internationally as well as managerially or technically, • Soho Impact: Empowering the Soho House Community to make positive change, through mentoring, apprenticeship, local outreach and sustainability, • Learning & Development: An extensive range of internally and externally run courses are available for all employees., • Cookhouse & House Tonic: Celebrating our passion for food and drink. Check out our monthly calendars and get involved in trips, training's and events. Available to all., • Team Events: From fitness sessions to cinema screenings and art classes, each month we hold a series of fun events which you can sign up to., • Team Meal: Whilst on duty in our Houses & Restaurants you will be provided with a substantial meal free of charge.In accordance with New York law, the salary range for this role if filled within New York is listed below. The range for the position in other geographies may vary based on market differences. The actual compensation will be determined based on experience and other factors permitted by law.Pay Range$22—$22 USD

NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News & World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health. For more information, go to NYU Langone Health, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter, YouTube and Instagram. Position Summary: We have an exciting opportunity to join our team as a Lead Technologist, X-Ray. In this role, the successful candidate performs medically prescribed diagnostic radiographic procedures while providing day-to-day clinical leadership for the X-Ray section. Serves as the lead clinical expert and primary resource for technologists, supporting workflow coordination, staff development, quality assurance, and adherence to departmental protocols, hospital policies, and regulatory standards. Job Responsibilities: Lead-Level Responsibilities • Provide day-to-day clinical leadership and act as the primary point of contact for X-Ray technologists, • Assign and coordinate workflow to ensure efficient patient throughput and coverage, • Serve as a clinical resource and subject-matter expert for complex or non-routine examinations, • Mentor, coach, and support technologists, including onboarding and competency validation, • Monitor image quality and adherence to protocols; address variances and escalate issues as needed, • Support performance feedback, training initiatives, and implementation of departmental policies, • Collaborate with leadership on staffing needs, quality improvement initiatives, and operational planning, • Perform diagnostic radiographic examinations independently in accordance with departmental protocols and physician orders, • Accurately position patients and imaging equipment to obtain optimal diagnostic images while minimizing radiation exposure, • Select and adjust technical factors to ensure image quality and patient safety, • Utilize lead markers, shielding, immobilization devices, and positioning aids appropriately, • Generate high-quality digital images; produce hard copies when required, • Review images for technical quality and completeness prior to submission to PACS/EMR, • Verify patient identity using two identifiers in accordance with hospital policy, • Explain procedures clearly to patients; address questions and reduce patient anxiety, • Ensure patient comfort, privacy, and dignity before, during, and after procedures, • Recognize and respond appropriately to medical emergencies; notify RN, PA, or MD immediately, • Adhere to radiation safety principles (ALARA), including proper beam restriction and shielding, • Maintain and return radiation detection badges and rings as required, • Access and verify patient information using HIS/RIS systems in compliance with HIPAA regulations, • Schedule, modify, and track examinations in RIS, documenting begin, completion, and departure times as required, • Transmit images and reports accurately to PACS and the electronic medical record, • Demonstrate proficiency in imaging equipment setup, operation, and routine quality control checks, • Perform visual and manual QC of imaging equipment and diagnostic monitors, • Identify and report equipment malfunctions, missing items, or safety concerns promptly, • Maintain cleanliness of imaging areas; prepare rooms, equipment, and supplies in advance, • Restock supplies as needed and notify supervisor of shortages, • Maintain cooperative and professional relationships with patients, physicians, nurses, and staff, • Assist with departmental projects, reports, and operational activities as assigned, • Seek guidance from supervisors regarding complex or questionable cases, • Maintain confidentiality of all patient and departmental information, • Ability to stand, walk, bend, and assist patients throughout the work shift, • Ability to lift and transfer patients with or without assistance, • Associates degree or Certificate from accredited School of Radiologic Technology., • Valid New York State Radiologic Technologist license., • High School diploma or equivalent., • 5 or more years of experience is required. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Langone Health provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $54.85 - $61.96 Hourly. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Sr. Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

NYU Langone Hospital—Brooklyn is a full-service teaching hospital and Level I trauma center located in Sunset Park, Brooklyn. The hospital is central to a comprehensive network of affiliated ambulatory and outpatient practices, and serves as NYU Langone Health's anchor for healthcare access, growth, and delivery in the entire borough. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. Learn more about NYU Langone Hospital—Brooklyn, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter, YouTube and Instagram. Position Summary: We have an exciting opportunity to join our team as a Nuclear Medicine Technician. In this role, the successful candidate Responsible for performing medically prescribed nuclear medicine procedures. Works under general direction. Job Responsibilities: 1. Demonstrates knowledge of the organization’s Service Standards and incorporates them into the performance of duties., 2. Operates hospital and radiology information systems as they relate to nuclear medicine. Correctly chooses appropriate patient information from HIS/RIS system in accordance with HIPPA regulations. Demonstrates ability to access patient information such as appointment times, type of exam, and patient reports. Is knowledgeable of the total cycle of RIS patient tracking. Follows departmental policy of documenting beginning, completion and departure times, when appropriate, in the RIS. Demonstrates knowledge of the HIS and is able to access patient data for verification of orders. Competent in scheduling exams in RIS from the order entry queue and/or demonstrates the ability to modify exams when necessary., 3. Effectively assesses patient’s information and status, and follows appropriate procedure(s) accordingly. Uses standard procedures to identify the correct patient. Checks patient’s wristband by name, unit, and room number to ensure patient’s ID matches examination requisition. OR calls patient by last name, asking patient to confirm their identity by stating their first name. Introduces self to the patient. Reviews patient’s requisition and understands the type of exam required by each requisition and confers with medical staff regarding clarification when necessary. Seeks information or asks for assistance from supervisor regarding difficult or questionable results. Follows accepted nuclear medicine procedures and uses medical information to determine type of protocol required for radiographic examination. Consults policy and procedure manuals and/or other reference materials as necessary to ensure actions conform to established protocols. Follows special instructions as indicated on Nuclear Medicine requisition. Recognizes need for and follows isolation precautions., 4. Independently implements patient procedures in accordance with departmental protocols and standards. Explains the procedure and equipment to the patient clearly. Obtains formal consent when necessary. Provides for patient comfort before, during and after procedure, and maintains an ongoing rapport with the patient throughout the procedure to ease any anxiety the patient may have. Provides for patient privacy at all times. Knowledgeable about patient preparation, considering patient comfort, clothing, pre-medications and any other preparations necessary for the imaging procedure being performed. Prepares radiopharmaceutical dose using proper procedures, and dose calculations. 5. Verifies label on radiopharmaceutical vial. Calculates activity remaining and activity needed for procedure and determines required patient dose, and verifies the radioactivity of the dose using a dose calibrator. Calibrates and dispenses radioactive gas from bulk load system or unit dose system. Positions patient and equipment appropriate to the body part(s) to be studied and adjust equipment settings accordingly to insure maximum information is obtained. Determines how to display and format data as needed. Performs filming of optimum quality and archives the data. Analyzes data acquired and reports results to physician for interpretation. Solves problems that arise during patient examinations using both technical knowledge and innovation. Alters examination to maximize information in response to patient’s condition. Confers with other technologists concerning previous approaches utilized. 6. Assists physicians as needed during the course of the procedure. Uses efficient methods and completes examinations assigned in reasonable amount of time. Performs transmission and/or segmentation for transmission to PACS in a proper anatomic fashion. Generates high quality hard copies of images when necessary. Maintains cleanliness of procedure area. Prepares equipment and supplies in advance for future exams. Makes alterations in work schedule for STAT and emergency cases. Alter work patterns to satisfy the needs of the patient and medical staff as needed. Is able to recognize a medical emergency and notifies nurse, PA and/or MD immediately., 7. Independently implements non-imaging procedures in accordance with departmental protocols and standards. Invivo/Invitro-Collects body fluid specimens as necessary at established intervals for in-vivo and in-vitro procedures. Selects appropriate containers/equipment based on type of procedure. Processes specimens in accordance with standard industry practice. Properly operates counting equipment in order to perform in-vivo and in-vitro procedures according to industry practice. 8. Radiopharmacy - Prepares doses and standards properly by quantitating exact dose, activity, and confirming calculated activity using a dose calibrator. Chooses an appropriate container for dilution of standard. Performs “wipe tests” of the exterior package on all radioactive shipments received. Monitors all packaging materials and deface radiation symbols on boxes before discarding. Removes all labels from lead containers being stored for disposal. Stores radioactive materials and non radioactive kits in the appropriate area. Assembles generator and positions it correctly behind barriers. Obtains generator eluate according to manufacturer’s instructions. Prepares compound radiopharmaceuticals according to manufacturer’s specifications and in sufficient amounts to meet the day’s exam activity., 9. Radiation Control- Disposes of radioactive waste according to department policies and procedures, radiation safety guidelines, license specifications, and applicable regulating bodies. Follows radiation protection procedures in order to adhere to local, state, and federal license requirements governing the use of radioactive materials. Takes appropriate measures to reduce exposure whenever possible. Carries out contamination surveys of work areas on a periodic basis according to regulatory guidelines. Performs decontamination procedures when necessary in accordance with departmental procedures; notifies supervisor of any contamination incident., 10. Quality Control-Performs routine imaging system evaluations on all scintillation cameras according to established industry practice. Calibrates and dispenses radioactive gas from bulk load system or unit dose system by loading radioactive gas into administration machine if appropriate. Evaluates the performance of the dose calibrator (ionization chamber) by following appropriate departmental procedures. Develops and maintains quality control procedures for all assays, using appropriate control area and assessment techniques in order to achieve validity and accuracy., 11. Documentation-Maintains all required records pertinent to all quality control procedures performed both before and during imaging procedures. Records all data required pertaining to dose preparation and administration, receipt of radioactive materials, radiopharmaceuticals, and radioactive waste disposal in appropriate logbook. Records all data required pertaining to contamination surveys and decontamination procedures performed in appropriate logbook., 12. Executes equipment set-up, utilization and proper maintenance procedure. Prepares instrument for procedure and correctly chooses proper collimator, imaging parameters, settings, etc. Properly operates laboratory equipment used in all non-imaging in-vivo and in-vitro procedures. Uses imaging and peripheral equipment, in a safe and productive manner in accordance with prescribed hospital, departmental and manufacturer’s procedures. Observes and reports any malfunctioning of the equipment and notifies appropriate persons in case of missing or damaged equipment. Demonstrates knowledge of proper use of computer product printers, i.e. label printers, report printers, etc, and minor adjustments to correct malfunctions, 13. Performs other duties as assigned. Minimum Qualifications: To qualify you must have a Associate's Degree Nuclear Medicine Technology program or a related health field for all employees hired after August 1, 2016. For new Graduates, a Nuclear Medicine permit issued by NYS Department of Health New York State license in Nuclear Medicine. American Registry of Radiologic Technologist (ARRT) or Nuclear Medicine Technology Certification Board (NMTCB). Strong communication (both written and oral), problem solving, and customer service skills. Basic computer skills including Microsoft Office. Demonstrates a thorough knowledge of Nuclear Medicine equipment.. Required Licenses: Nuc Med Technologist License, Nuclear Med Tech Cert (NMTCB), Am Registry Of Radiologic Tech Preferred Qualifications: Completion of a Bachelors Degree or baccalaureate degree in nuclear medicine technology. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Langone Hospital—Brooklyn provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Langone Hospital—Brooklyn is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $105,757.60 - $105,757.60 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Sr. Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens * Experience with common training optimization frameworks (deep speed, nemo) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (FM Hosting, LLM Inference) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Nuclear Medicine Technologist (FGP) - Brooklyn, Multispeciality. In this role, the successful candidate Responsible for performing medically prescribed nuclear medicine procedures. Works under general direction Job Responsibilities: 1.Demonstrates knowledge of the organization?s Service Standards and incorporates them into the performance of duties. 2. Operates hospital and radiology information systems as they relate to nuclear medicine. Correctly chooses appropriate patient information from HIS/RIS system in accordance with HIPPA regulations. Demonstrates ability to access patient information such as appointment times, type of exam, and patient reports. Is knowledgeable of the total cycle of RIS patient tracking. Follows departmental policy of documenting beginning, completion and departure times, when appropriate, in the RIS. Demonstrates knowledge of the HIS and is able to access patient data for verification of orders. Competent in scheduling exams in RIS from the order entry queue and/or demonstrates the ability to modify exams when necessary., 3. Effectively assesses patient?s information and status, and follows appropriate procedure(s) accordingly. Uses standard procedures to identify the correct patient. Checks patient?s wristband by name, unit, and room number to ensure patient?s ID matches examination requisition. OR calls patient by last name, asking patient to confirm their identity by stating their first name. Introduces self to the patient. Reviews patient?s requisition and understands the type of exam required by each requisition and confers with medical staff regarding clarification when necessary. Seeks information or asks for assistance from supervisor regarding difficult or questionable results. Follows accepted nuclear medicine procedures and uses medical information to determine type of protocol required for radiographic examination. Consults policy and procedure manuals and/or other reference materials as necessary to ensure actions conform to established protocols. Follows special instructions as indicated on Nuclear Medicine requisition. Recognizes need for and follows isolation precautions., 4. Independently implements patient procedures in accordance with departmental protocols and standards. Explains the procedure and equipment to the patient clearly. Obtains formal consent when necessary. Provides for patient comfort before, during and after procedure, and maintains an ongoing rapport with the patient throughout the procedure to ease any anxiety the patient may have. Provides for patient privacy at all times. Knowledgeable about patient preparation, considering patient comfort, clothing, pre-medications and any other preparations necessary for the imaging procedure being performed. Prepares radiopharmaceutical dose using proper procedures, and dose calculations. 5. Verifies label on radiopharmaceutical vial. Calculates activity remaining and activity needed for procedure and determines required patient dose, and verifies the radioactivity of the dose using a dose calibrator. Calibrates and dispenses radioactive gas from bulk load system or unit dose system. Positions patient and equipment appropriate to the body part(s) to be studied and adjust equipment settings accordingly to insure maximum information is obtained. Determines how to display and format data as needed. Performs filming of optimum quality and archives the data. Analyzes data acquired and reports results to physician for interpretation. Solves problems that arise during patient examinations using both technical knowledge and innovation. Alters examination to maximize information in response to patient?s condition. Confers with other technologists concerning previous approaches utilized. 6. Assists physicians as needed during the course of the procedure. Uses efficient methods and completes examinations assigned in reasonable amount of time. Performs transmission and/or segmentation for transmission to PACS in a proper anatomic fashion. Generates high quality hard copies of images when necessary. Maintains cleanliness of procedure area. Prepares equipment and supplies in advance for future exams. Makes alterations in work schedule for STAT and emergency cases. Alter work patterns to satisfy the needs of the patient and medical staff as needed. Is able to recognize a medical emergency and notifies nurse, PA and/or MD immediately., 7. Independently implements non-imaging procedures in accordance with departmental protocols and standards. Invivo/Invitro-Collects body fluid specimens as necessary at established intervals for in-vivo and in-vitro procedures. Selects appropriate containers/equipment based on type of procedure. Processes specimens in accordance with standard industry practice. Properly operates counting equipment in order to perform in-vivo and in-vitro procedures according to industry practice. 8. Radiopharmacy - Prepares doses and standards properly by quantitating exact dose, activity, and confirming calculated activity using a dose calibrator. Chooses an appropriate container for dilution of standard. Performs ?wipe tests? of the exterior package on all radioactive shipments received. Monitors all packaging materials and deface radiation symbols on boxes before discarding. Removes all labels from lead containers being stored for disposal. Stores radioactive materials and non radioactive kits in the appropriate area. Assembles generator and positions it correctly behind barriers. Obtains generator eluate according to manufacturer?s instructions. Prepares compound radiopharmaceuticals according to manufacturer?s specifications and in sufficient amounts to meet the day?s exam activity., 9. Radiation Control- Disposes of radioactive waste according to department policies and procedures, radiation safety guidelines, license specifications, and applicable regulating bodies. Follows radiation protection procedures in order to adhere to local, state, and federal license requirements governing the use of radioactive materials. Takes appropriate measures to reduce exposure whenever possible. Carries out contamination surveys of work areas on a periodic basis according to regulatory guidelines. Performs decontamination procedures when necessary in accordance with departmental procedures; notifies supervisor of any contamination incident., 10. Quality Control-Performs routine imaging system evaluations on all scintillation cameras according to established industry practice. Calibrates and dispenses radioactive gas from bulk load system or unit dose system by loading radioactive gas into administration machine if appropriate. Evaluates the performance of the dose calibrator (ionization chamber) by following appropriate departmental procedures. Develops and maintains quality control procedures for all assays, using appropriate control area and assessment techniques in order to achieve validity and accuracy., 11. Documentation-Maintains all required records pertinent to all quality control procedures performed both before and during imaging procedures. Records all data required pertaining to dose preparation and administration, receipt of radioactive materials, radiopharmaceuticals, and radioactive waste disposal in appropriate logbook. Records all data required pertaining to contamination surveys and decontamination procedures performed in appropriate logbook., 12. Executes equipment set-up, utilization and proper maintenance procedure. Prepares instrument for procedure and correctly chooses proper collimator, imaging parameters, settings, etc. Properly operates laboratory equipment used in all non-imaging in-vivo and in-vitro procedures. Uses imaging and peripheral equipment, in a safe and productive manner in accordance with prescribed hospital, departmental and manufacturer?s procedures. Observes and reports any malfunctioning of the equipment and notifies appropriate persons in case of missing or damaged equipment. Demonstrates knowledge of proper use of computer product printers, i.e. label printers, report printers, etc, and minor adjustments to correct malfunctions, 13. Performs other duties as assigned., 14. Directs and monitors student clinical training. Observes the student during clinical training guide them to perform good ultrasound procedures. Conveys information to students to increase their level of understanding. Evaluates the students progress in clinical areas. Monitors the work performed by students under their supervision. . Minimum Qualifications: To qualify you must have a Associate's Degree or Certificate from an accredited School of Radiologic Technology. Must have a New York State Radiologic Technologist License in Nuclear Medicine. Must also have ARRT in Nuclear Medicine or NMTCB Certification.. A current New York State Nuclear Medicine Technologist License is required. In addition, certification from the American Registry of Radiologic Technologists in Nuclear Medicine (ARRT-N) or certification from the Nuclear Medicine Technology Certification Board (NMTCB) is required.. Required Licenses: Nuc Med Technologist License, Nuclear Med Tech-RT (N)(ARRT), Nuclear Med Tech Cert (NMTCB) Preferred Qualifications: Completion of a Bachelors Degree or baccalaureate degree in nuclear medicine technology. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $111,522.60 - $124,144.02 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems * Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionBenefits: • 401(k), • Dental insurance, • Health insurance Job Description: • Unload inbound freight (includes raw materials, packaging components, non-inventory items)., • Perform Receiving using our computer system to generate receiving papers., • Distributing received items to stock rooms and/or production departments., • Parts Picking & Job Kitting to supply components and materials for assembly & for packing outbound shipments., • Packing in a manner that ensures items arrive at the destination undamaged., • Shipping products via UPS, FedEx & common freight carriers., • Perform Cycle Counting to verify inventory accuracy., • Perform basic housekeeping tasks (e.g. workstation & warehouse clean up, bin relocation, product consolidation) to maintain neat and clean warehouse. Stock incoming materials in correct bin locations., • Follow technical instructions, interpret engineering blueprints and technical terms to assemble component parts or pieces. Discern quality of parts and materials used in production., • Inventory parts and tools used in the assembling process., • Follow company procedures and directives., • Test finished products for defects., • Maintain the tools used to create products.Qualifications:, • At least 3 years experience in the field., • ERP and MS Office Suite knowledge., • Strong communication skills., • Team player.

Job Description: As Saab, Inc. is growing in East Syracuse, NY, we are seeking a Senior Quality Inspector, In-Process Inspection to: \n • Authorize assembly process completion and support the build team with in-process inspections during the build process.\n, • Validate visually and dimensionally that the product meets requirements compared to engineering drawings.\n, • Inspect for defects in surfaces, fasteners, sealant, paint, and testing.\n, • Compile technical data and reports to provide feedback on final inspection results and recommended corrective actions.\n, • Develop deviation reports and represent quality at the Material Review Board.\n, • Be responsible for non-conforming material processes and procedures.\n, • Deliver high level of workmanship in inspection processes for structural assembly and system installations.\n, • Experienced in quality management systems and become a subject matter expert in the company management system.\n, • Participate in tooling validation and application to meet product requirements in quality and efficiencies.\n, • Develop standardization for working procedures for high repeatability.\n\n Compensation Range: $28.84 - $34.57 per hour The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: \n • High school degree or equivalent required.\n, • Technical degree or certification in the field of electro/mechanical assembly, mechanics, or maintenance is preferred.\n, • 5+ years of qualified inspection experience in manufacturing.\n, • Experience with ISO/AS9100 and highly standardized processes.\n, • Strong communication skills and ability to work as a team.\n, • Proficiency interpreting engineering drawings and specifications in written and digital format required.\n, • Ability to execute the appropriate working methods and select the right tools to meet the right level of quality and efficiency.\n, • Ability to work with standardized procedures for high repeatability in a highly advanced and connected environment.\n, • Excellent communication and team working skills.\n\n Physical Requirements: \n • Must be self-mobile and able to stand for extended periods.\n, • Ability to perform physical tasks such as sitting, bending, stooping, walking, climbing, reaching during a normal workday.\n, • Ability to perform repetitive motions (such as lifting or assembly of parts) including the use of hand held power tools.\n, • Ability to lift up to fifty (50) pounds.\n, • Hearing and vision within normal ranges is important for conversations, and to receive ordinary information and directives from Production Supervisors and management as required.\n, • Ability to work extended hours when required.\n\n Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: \n • Medical, vision, and dental insurance for employees and dependents\n, • Generous paid time off, including 8 designated holidays\n, • 401(k) with employer contributions\n, • Tuition assistance and student loan assistance\n, • Wellness and employee assistance resources\n, • Employee stock purchase opportunities\n, • Short-term and long-term disability coverage\n\n About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.

false false false EN-US X-NONE X-NONE H.O. Penn Machinery HIRING IMMEDIATELY Construction Equipment Mechanic Bronx, NY Pay:$45.71 - $60.19/hour Benefits: \n • UP TO $25,000 SIGN-ON BONUS\n, • UNION Shop!\n, • Pension, welfare, annuity, vacation funds, & competitive employer contributions \n, • Medical/dental/vision insurance\n Experience in troubleshooting and repair of Heavy Construction Equipment, CAT preferred \n • Must be computer proficient to be able to run diagnostic software and prepare service communications\n, • Must have excellent verbal and written communication skills\n, • Must be able to troubleshoot technical problems, meet or exceed labor repair guidelines, possesses the ability to plan and efficiently complete assigned tasks \n Successfully provide service of recognized superior value \n • Troubleshoot problems\n, • Efficiently utilize resources to correct problems\n, • Plan proper repair procedures for efficiency\n, • Efficiently utilize tooling and technical resources\n, • Continually improve key processes\n, • Complete/attend all safety meetings, computer-based safety training, safety audits, and other safety training as assigned\n, • Work in a proactive, safe manner in compliance with all safety practices, policies, and training\n, • Immediately resolve and/or report all safety issues to supervisor\n Experience in troubleshooting and repair of Heavy Construction Equipment, CAT preferred \n • Must be computer proficient to be able to run diagnostic software and prepare service communication\n, • Must have excellent verbal and written communication skills\n, • Must be able to troubleshoot technical problems, meet or exceed labor repair guidelines, possesses the ability to plan and efficiently complete assigned tasks \n, • Standing and walking (including on uneven surfaces)\n, • Sitting, body rotation, and forward bending (in both sitting and standing positions)\n, • Lifting up to 60 lbs. (machine or team lift for items over 50 lbs.)\n, • Carrying up to 50 lbs. for short distances\n, • Push/pull tasks requiring up to 75 lbs. of force\n, • Climbing stairs and ladders (including non-standard access points)\n, • Crawling, kneeling (low work), and working in awkward/tight positions\n, • Strong grip strength (up to 80 lbs. with both hands; up to 30 lbs. with one hand)\n, • Hand coordination and overhead/extended reaching\n, • Operating equipment, machinery, foot pedals, and hand tools\n, • Outdoor work as required (exposure to weather and varying environments)\n

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Plano, TX: $179,400 - $204,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).