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Job DescriptionCompany Description NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Job Description The Corporate Operations & Technology Engineering Team is seeking a Principal System Architect, SAP Success Factors. We are currently undergoing a HR transformation that includes a green field implementation of SAP Success Factors Employee Central. This is a high-level strategic leadership role responsible for designing robust, scalable, and secure end-to-end SAP solutions that align with business goals. The role will drive technology strategy, establish architectural governance, guide digital transformation, and ensure "clean core" principles. Key duties include managing complex integrations, mentoring technical teams, and acting as a trusted advisor to senior leadership. Responsibilities: • Define the overarching technical strategy, govern architectural standards, and ensure seamless, scalable integration across the HCM suite., • Manage technical SAP Teams through complex system development and deployment. Solutions to include artificial intelligence, application development and integration in one unified environment., • Re-engineer, Transform and Maintain custom SAP SOH workloads onto Success Factors and BTP., • Analyze custom workloads on current stack and establish a framework to migrate objects and get to clean core., • Actively lead SAP technical vision to leverage best practices and drive maximum business value, • Apply technology to complex business processes with a drive towards relentless simplification and reduction in TCO, • Evaluate business requirements and architect SAP solutions providing an integrated approach., • Be up to date on latest SAP technology stack and act as strategic advisor to product and business teams on how to leverage SAP products and tools, • Manage Technical architecture analysis, research, design and development of new functionality and integration with key applications and services under SAP eco-systems, • Guide the engineering team to develop, configure and implement the solution as per the product development standards and best practices., • Ensure technical integrity of projects, making sure that common technical elements are leveraged, and that work is not duplicated, • Participate in product roadmap and product strategy definition., • Coordinate with other technical teams to ensure compatibility with their solution components and be in alignment with their roadmap., • Hold self and others accountable to the committed deadlines and ensure successful deliverables, • Act as a mentor, coach, and provide training to engineers and consultants by sharing solution and technical expertise Qualifications, • Education focus degree in Computer Science, Business Administration, Engineering or related discipline with an information technology major, or an equivalent combination of education and training that provides the required knowledge, skills and abilities to perform the essential functions of the job., • Experience as an Architect/Senior consultant in at least 8 SAP Success Factors/HR Implementations., • 10+ years SAP Success Factors hands-on experience., • Knowledge in various SAP Success Factors modules and Integration development working on large-scale transformations., • Should have deep technical experience in SAP Application engineering development using the extensibility model in the following areas:, • In App extensions using key user and in app frameworks using the RAP (Restful ABAP programming) model, • Side by side extensions in BTP using the Cloud Application Programming (CAP) Model, • Using Clean Core principles for all custom development leveraging released API's to develop customizations and creating wrappers for requirements without released APIs, • Designing, developing, and deploying cloud-based applications using SAP BTP services for activities like Technical Development using Business Application Studio (BAS), SAP Build and Advance WorkZone and using the Integration Suite for developing end to end integrations, • Business Process re-engineering or process improvement experience with broad-based information systems., • Strong experience in SAP Technical & functional knowledge of SAP products and various solution offerings, • Worked in a Global environment at a leadership level and demonstrated growth and achievement., • Experience in HR transformation projects e.g., from SAP HCM to Success Factors Employee Central (green field, brown field, blue field etc.), • Experience working with interfaces in addition to Web Services, such as Java connectors and Rest APIs communicating with non-SAP applications. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing . For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

Job Description Overview /Objective: We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This role is pivotal in shaping and implementing our client's vision for a cutting-edge, cloud-native data ecosystem. You will architect and build scalable data infrastructure that transforms raw data into high-value assets, powering analytics across digital products, fan engagement, and marketing domains. Your work will directly contribute to the development of a world-class customer data platform. Responsibilities: • Design and build robust, scalable data transformation pipelines using SQL, DBT, and Jinja templating, • Develop and maintain data architecture and standards for Data Integration and Data Warehousing projects using DBT and Amazon Redshift, • Collaborate with cross-functional teams to gather requirements and deliver dimensional data models that serve as a single source of truth, • Own the full stack of data modeling in DBT to empower analysts, data scientists, and BI engineers, • Enhance and maintain the analytics codebase, including DBT models, SQL scripts, and ERD documentation, • Ensure data quality, governance alignment, and operational readiness of data pipelines, • Apply software engineering best practices such as version control, CI/CD, and code reviews, • Optimize SQL queries for performance, scalability, and maintainability across large datasets, • Implement best practices for SQL performance tuning, including partitioning, clustering, and materialized views, • Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments. Integrate and automate deployment workflows using AWS CodeCommit, CodePipeline, and related DevOps tools, • Bachelor's or Master's (preferred) degree in a quantitative or technical field such as Statistics, Mathematics, Computer Science, Information Technology, Computer Engineering or equivalent, • 5+ years of experience in data engineering and analytics on modern data platforms, • 3+ years' extensive experience with DBT or similar data transformation tools, including building complex & maintainable DBT models and developing DBT packages/macros, • Deep familiarity with dimensional modeling/data warehousing concepts and expertise in designing, implementing, operating, and extending enterprise dimensional models, • Understand change data capture concepts, • Experience working with AWS Services (Lambda, Step Functions, MWAA, Glue, Redshift), • Hands-on experience with AWS CDK, CodeCommit, and CodePipeline for infrastructure automation and CI/CD, • Python proficiency or general knowledge of Jinja templating in Python and/or PySpark, • Agile experience and willingness to work with extended offshore teams and assist with design and code reviews with customer, • A great teammate and self-starter, strong detail orientation is critical in this role.

Job Description Senior Staff Software Engineer — Real-Time Distributed Systems (C#, .NET, gRPC) 2Bridge Partners has been engaged in the search for a direct-hire Senior Staff Software Engineer with a strong background building real-time, message-based B2B or trading applications in C#, .NET, and gRPC. Our client is an established technology firm developing high-throughput, multi-tenant platforms used by institutional customers. The engineering environment is centered around real-time data distribution, low-latency messaging, high concurrency, and event-driven architectures. This role is ideal for engineers who want to influence platform design while remaining hands-on with complex distributed systems. Compensation: $200K–$300K base plus a significant discretionary performance-based bonus. What You’ll Do: • Architect, design, and deliver components of a highly scalable, distributed, real-time computing platform., • Build and refine low-latency, message-driven services using gRPC and modern .NET., • Develop reusable patterns, shared libraries, and framework-level abstractions., • Lead performance tuning across messaging, compute, network, and storage layers., • Own critical platform services supporting high-volume API and UI workloads., • Collaborate with engineering leadership to shape architectural direction. Required Experience: • 10–15+ years of professional experience with extensive work in C# and .NET., • Strong experience with gRPC and cloud-based service architectures., • Expertise with distributed messaging and event-streaming technologies including Kafka, RabbitMQ, and Redis., • Strong understanding of backend fundamentals including high-volume message processing, interprocess communication patterns, and database performance., • Experience building multi-tenant, event-driven B2B systems requiring millisecond-level updates., • Experience building frameworks or shared service layers., • Strong interest in clean architecture and high engineering standards. Non-Technical Requirements: • Strong analytical and architectural reasoning., • High ownership mindset with strong follow-through and initiative., • Ability to work independently and collaborate effectively., • Strong communication skills. Education: • Bachelor’s degree or higher in Computer Science, Engineering, or related technical discipline preferred. Nice to Have: • NYC metro candidates preferred for hybrid collaboration (flexible for exceptional candidates). Benefits: • Medical, Dental, and Vision coverage, • Retirement plan (401k or IRA), • Paid vacation, sick time, and holidays, • Life insurance options, • Short- and long-term disability coverage

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases 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.

TERRITORY: Northern NJ, Long Island NY, Rye NY Salary Range: $29.00 to $32.00 per hour (Starting Range) Final pay determinations will depend on various factors, including, but not limited to experience level, education, knowledge, skills, and abilities. Our benefits and programs are comprehensive and thoughtfully crafted to ensure our colleagues live healthy lives and have support when it matters most. Please note: This position cannot provide employment-based immigration sponsorship now or in the future. Applicants must be currently authorized to work in the United States for any employer and must be able to maintain that authorization for the entire duration of employment without requiring employer sponsorship at any time, including in the instance when your current work authorization expires. We ask that candidates answer all work authorization questions fully and accurately during the application process. The Field Service Engineer is responsible for providing technical direction and support to customers on operation and maintenance of company products. Serve as customer contact on technical and service-related problems. Demonstrate uses and advantages of products. Work closely with sales and marketing, QA/QC and research and development to address customer concerns, determine corrective action and customer follow-up. May be responsible for a designated region. • Install, check out, operate, maintain, repair, and upgrade equipment within time requirements established by service management., • Provide preventative maintenance in accordance with published procedures., • Keep performance and maintenance records on the equipment., • Provide guidance and training to customer personnel in establishing operation, maintenance, inspection procedures, and techniques., • Analyze equipment failures to determine cause and recommend corrective action., • Advise and assist in effecting design changes to improve equipment efficiency and/or reduce cost of operations., • May participate in installation planning phase., • Maintain customer good will through: effective communication of all services rendered; effective communication of on-site arrival time; effective and early communication of late on-site arrival time; effective communication of service and operator issues; effective presentation of positive attitude for the company, products, employees, and customers; and maintaining a proper business appearance as defined by service management., • Effectively manage company assets to include company vehicle, computer, trunk stock parts inventory, test equipment and tools. All employees are responsible for ensuring the compliance to company documents, programs and activities related to the Health, Safety, Environment, Energy, and Quality Management Systems, as per your roles and responsibilities. • High School Diploma (Electrical Training and/or Experience strongly preferred), • Minimum of 1 year working in a similar field-based, troubleshooting/repair position in the electro-mechanical field., • Computer skills are essential. Must be familiar with Microsoft Windows operating system and Microsoft Office applications, including Word, Excel, PowerPoint, and Access, • Valid driver's license and clean driving record., • Able to obtain credit approval for Corporate Credit card., • Good verbal and written communication skills, • Independent Thinking, • Detail Oriented, • Strong Problem-solving skills., • Able to lift 50 pounds - Must be able to bend, push and so forth., • Manual Dexterity, • Willingness to work up to and over 8 hours/day. 40 hours/week, weekends, holidays, and after-hours., • Occasional overnight travel., • Must maintain all requirements for access to customer sites, including active and current compliance with all credentialing requirements (may include COVID-19 and annual influenza vaccinations), in order to perform the essential functions of the role at customer locations., • Participates in any and all reasonable work activities as assigned by management. We offer an excellent salary and benefits package including medical, dental and vision coverage, as well as life insurance, disability,401K with company contribution, andwellness program. Please note that joining our team does not create a guaranteed or permanent employment arrangement. All employment is atwill, meaning both the employee and Fresenius Kabi have the right to end the employment relationship at any time, in accordance with applicable federal and state laws. Fresenius Kabi is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, citizenship, immigration status, disabilities, or protected veteran status.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. Technical Leadership & Vision • Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals., • Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities., • Core Agent Capabilities Development:, • Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises., • Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas., • Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base., • Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth., • Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team., • Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment., • 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain., • Deep expertise in Generative AI and Large Language Models (LLMs)., • Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale., • Experience with large-scale distributed systems and real-time data processing., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization., • Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms., • Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems., • Experience with vector databases and advanced retrieval techniques., • A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD)., • Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. 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.

AI Engineer Location: Hybrid, USA Employment Type: Full-Time Compensation: $100,000 - $130,000 (Range applies to US candidates only) + Benefits/Variable Comp - Range may vary based on experience. Benefits Offered: Vision, Medical, Life, Dental, 401K This role requires the candidate to work from one of the following OneStream office locations: Birmingham, MI, Fort Lauderdale, FL, New York, NY, or Chicago, IL. Summary The AI Engineer on the AI Product & Engineering team is responsible for crafting, building, and overseeing AI-powered solutions tailored for the OneStream platform. This position involves continuously converting business problems into polished, commercially viable applications leveraging AI and computer science techniques. This position requires a robust grasp of modern software design principles, including backend, frontend design and web frameworks. Collaboration with diverse engineering and services teams is essential to deliver comprehensive product support, ensure product cycle maintenance, and drive continuous product improvements. The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users. Our AI solutions incorporate AI and machine learning spectrum, including (but not limited to) time series forecasting, anomaly detection, and natural language processing. Our mission is to lower the barrier for organizations and people to get value out of AI capabilities. Primary Duties and Responsibilities • Build and enhance user interfaces using both native OneStream capabilities and modern web frameworks., • Write and upkeep code that is efficient, reusable, dependable, and abides by modern software design principles., • Own the end-to-end UI/UX process: from wireframing and prototyping to implementation., • Guarantee peak performance, rendering, and responsiveness of AI Services solutions., • Identify and address bottlenecks and bugs, and devise solutions to mitigate or eliminate these issues., • Help to preserve code quality, organization, and automation., • Write and define software bugs, enhancements, and story tickets in a software issue-tracking system., • Collaborate with Product Specialists and Quality Assurance Testers to effectively., • Write documentation in the form of how-to guides to get other stakeholders familiar with the products you develop. Required Education and Experience • Bachelors Degree or similar work experience., • CS/DS/EE/CE Degree or similar experience., • Experience with C# / .NET or another object-oriented language (Java, C++) with openness to learning .NET., • Experience building user-facing applications/dashboards., • Ability to work across the stack (backend services + frontend UI) and integrate APIs., • Strong programming fundamentals. Preferred Education and Experience • Experience with modern web development frameworks (React preferred)., • Experience with design tools such as Figma (or similar) for creating wireframes, prototypes, and high-fidelity UI mockups., • Familiarity with Microsoft Azure and related technologies., • Experience integrating AI-enabled features into applications., • Experience with Consolidation Software, such as: OneStream, HFM, SAP BOFC, SAP, IBM Cognos, etc., • Recent focus on Microsoft technologies., • Python experience. Knowledge, Skills, and Abilities • Self-Starter to decompose a problem and plan a solution., • Knowledgeable about modern user interface design principles aimed at optimizing user experience., • Capable of effectively communicating technical issues, leading discussions, and influencing product-related decisions., • Ability to quickly learn new technologies and adapt to changes in technology and the business environment., • Highly adaptive to changing circumstances, with the ability to tackle problems quickly., • Excellent written and verbal interpersonal skills., • Excellent organization, scheduling, project management, and multi-tasking skills., • Capable and comfortable effectively presenting in front of your peers., • Ability to write clean, efficient, and well-documented code., • Interest in continuous learning opportunities as the space continues to evolve., • Proficient in effectively prioritizing and executing tasks in fast-paced, high-pressure environments., • Highly self-motivated and proactive., • Demonstrates meticulous attention to detail., • Comfortable engaging with C-level executives. Travel (remove if not applicable) • Minimal travel will be required. Who We Are OneStream is how today's Finance teams can go beyond just reporting on the past and Take Finance Further by steering the business to the future. It's the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit ___. Why Join The OneStream Team • Transparency around corporate structure, salary, and benefits, • Core value of customer success, • Variety of project work (not industry-specific), • Strong culture and camaraderie, • Multiple training opportunities Benefits at OneStream OneStream employees are passionate, hardworking individuals who go above and beyond to keep our customers happy and follow through on our mission statement. They consistently deliver the best and in turn, we make every effort to keep them cared for and happy. A sample of the benefits we provide are: • Excellent Medical Plan, • Dental & Vision Insurance, • Life Insurance, • Short & Long Term Disability, • Vacation Time, • Paid Holidays, • Professional Development, • Retirement Plan All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. OneStream is an Equal Opportunity Employer. #LI-Hybrid #LI-JP1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. 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.

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply! You will: • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas, • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success, • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer, • Be accountable for the customer's technical experience throughout their time with Scale, • Work with AEs and PMs to identify customer-specific feature requests, • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations, • Evangelize Scale and interact with customers at major events, • Have an active TS/SCI clearance Ideally you'd have: • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way, • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals, • Prior experience developing with Python and JavaScript, or other modern software languages, • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields, • Strong project management and interpersonal skills, • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers, • High level of comfort communicating effectively across internal and external organizations, • Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: • Experience in AI, • Experience working in classified environments, • Previous experience as a technical go-to-market resource, • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment, • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment, • Experience automating infrastructure and configuration management using Ansible or similar tools Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. 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.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • 7+ years of full-time engineering experience, post-graduation, • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases 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.

Job Title: QA Engineer Location: Hybrid- Newark, NJ Duration: 12 months Overview The Engineering team is seeking a candidate to lead the design and development of AI-powered test automation capabilities across client. This role will leverage AI and LLM technologies to fundamentally transform how functional, regression, and integration testing is created, maintained, and executed. We are looking for someone who combines strong quality engineering fundamentals with a passion for AI-driven development. The successful candidate will define the strategy for AI-powered test automation, build frameworks that use AI to generate and maintain test suites, and establish standards that ensure consistent quality across applications. Key Responsibilities Test Automation & AI Integration • Design and build AI-powered test automation frameworks that leverage LLMs to generate, execute, and maintain test cases for functional, regression, and integration testing, • Develop AI-driven approaches to analyze application code and automatically generate meaningful test coverage, • Build and maintain reusable automation components that integrate AI capabilities into existing test pipelines, • Create self-healing test suites that use AI to adapt to application changes and reduce maintenance overhead Strategy & Standards • Define the overall strategy and roadmap for AI-powered quality engineering across the organization, • Establish standards for test automation quality, coverage thresholds, and AI-generated test validation, • Evaluate and integrate AI/LLM tools into the testing lifecycle, assessing their reliability and enterprise fit, • Define best practices for prompt engineering in the context of test generation and validation, • Track and report on the effectiveness of AI-driven testing compared to traditional approaches Collaboration • Partner with agentic code development and AI tooling teams to ensure quality is embedded throughout the AI-powered SDLC, • Work with development teams to integrate AI-driven testing into their CI/CD pipelines, • Collaborate with InfoSec and compliance teams to ensure AI-generated tests meet enterprise requirements, • Share knowledge and best practices across teams, building organizational capability in AI-powered testing Qualifications Required Experience • Extensive experience in quality engineering, test automation, or software development in an enterprise environment, • Demonstrated experience building and maintaining test automation frameworks, • Strong programming background in multiple languages (Python, JavaScript/TypeScript, Java, etc.), • Experience with AI/LLM tools and platforms (Claude, ChatGPT, Copilot, or similar), • Fluency with Agile delivery methodologies and Test-Driven Development (TDD), • Experience integrating test automation into CI/CD pipelines Technical Skills • Deep knowledge of test automation frameworks and tools (Selenium, Playwright, Cypress, or similar), • Understanding of prompt engineering principles applied to test generation and validation, • Experience with API testing, contract testing, and integration testing patterns, • Familiarity with AI agent frameworks and how they can be applied to testing workflows, • Knowledge of DevOps practices and CI/CD tooling, • Strong technical troubleshooting and problem-solving skills Preferred • Hands-on experience with Claude Code or similar AI development tools, • Experience with MCP (Model Context Protocol) integrations Soft Skills • Ability to define and communicate a technical vision for AI-powered quality engineering, • Strong analytical mindset - able to evaluate AI-generated outputs critically, • Self-directed with ability to work independently while collaborating across teams, • Ability to learn quickly in the fast-moving AI space, • Strong written and verbal communication skills Education - Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field

Senior Datacenter and Cloud Engineer Cooley is seeking a Senior Technology Datacenter and Cloud Engineer to join the DevOps team. Position summary: The Senior Data Center and Cloud Engineer ("DCE") is responsible for the firm's Datacenters and local office server rooms and is a technical expert who executes effectively on server infrastructure projects. This position will have a thorough understanding of firm technologies and systems and will be able to understand both the business and technical requirements for new products that will be engineered and implemented by the group. Position responsibilities: • Analyze system performance, modify parameters to improve throughput and effectively utilize system resources. Monitor resource usage, making required adjustments, • Participate in on-call production support activities, • Work closely with the Architecture and Engineering group as well as the Network Engineering group to provision complex infrastructure designs, for example, the design, implementation and support of VMware server infrastructure, • Monitor, maintain and ensure the regular execution of backup routines by responding to system alerts and maintaining data replication between datacenters and DR locations, • Participate in the planning, testing and execution of DR/BC procedures including failover and failback between datacenters and across the Firm's network, • Proactively create and implement procedures to prevent and reduce the severity of outages. Implement automation wherever possible, • Responsible for implementation of required hardware and/or software for all tier and affinity infrastructure, • Responsible for all aspects of the datacenternetwork including racking, cabling and power related to the infrastructure including those involving services from providers such as co-location management and carrier services, • Maintain the integrity of the servers (physical and virtual), storage systems, network and security devices and overall network infrastructure for the business unit via actively monitoring, troubleshooting, and participating in regular monthly systems patching and upgrade activities, • Responsible for identifying problem areas in a proactive way and developing solutions to meet the challenges in theDatacenter environment, • Responsible for troubleshooting and issuemanagementthroughout the datacenter and cloud systems, • Analyze business needs and the external environment to develop, scope, and enable implementation of enterprise infrastructure, • Communicate ideas through presentations, reports, and documentation, • Work with stakeholders, management, and subject matter experts to develop and implement technology strategies, • Collaborate with technology leadership in developing and maintaining a roadmap for assigned areas, • Coordinate with and participate in activities with vendors, as required, • Provide clear and grammatically correct documentation, emails, procedures, and status (both verbal and written), • Comply with all department policies, standards and procedures, • Participate in change control and change managementprocesses, • Respond to administrative requests and responsibilities in a timely manner, • 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, • 6+ years' direct applicable experience (e.g., system administration with advanced systems engineering), • Enterprise architecture expertise for both collocated and cloud datacenters, • Experience with Hyperscalers, specifically Azure and AWS, • Bachelor's or master's degree in computer science or related discipline, • Current certifications in AWS or Azure or VMware, • Experience working in a law firm or professional services environment, • NetApp storage and enterprise storage protocols to include CIFS, NFS, iSCSI, and FC, • Experience with backup software Cohesity or Veeam and AWS Backup, • Experience with:, • Enterprise server technology, specifically Cisco UCS, • Scripting with PowerShell and/or Python, • Enterprise backup technologies, • Enterprise DR Methodologies and technologies, • DevOps technologies and methods Competencies: • Professional demeanor at all times, including during project engagement, • Excellent communication (verbal and written) skills, • Strong project management skills, and the ability to translate complex technical concepts into simple language, • Strong team player who can successfully interact with all levels of business professionals and effectively work with diverse personalities, • Strong analytical and project management skills. Capable of interpreting and applying complex technical information, • Ability to work independently and to make sound judgments regarding the best course of action to resolve problems; ability to determine when further expertise is necessary and contact the proper individuals, as required, • Ability to work effectively under pressure, set priorities, handle a number of matters concurrently and in a timely manner, all within a fast-paced environment, • High level of organizational skills required to adequately manage projects, monitor numerous live systems simultaneously, ascertain trends which may indicate problems and keep accurate up-to-date records 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 $130,000 - $195,000. 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.

Senior AI/ML Engineer Cooley is seeking a Senior AI/ML Engineer to join the Practice Engineering team. Position summary: As a leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to advance this mission. To that end, the Artificial Intelligence/ Machine Learning Engineer will play a key role in building, deploying, and operating enterprise scale Artificial Intelligence (AI) and Machine Learning (ML) solutions across Azure, AWS, and other cloud and hybrid platforms. This role is highly hands on and execution focused, combining strong software engineering practices with applied AI and ML expertise to deliver secure, scalable, and high performing solutions that support the firm's business and technology objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Design, build, and maintain production grade AI and ML solutions across Azure, AWS, and other cloud platforms, • Implement end to end AI application pipelines including data ingestion, prompt engineering, evaluation, deployment, and monitoring, • Collaborate closely with engineering, data, and business teams to translate requirements into practical AI and ML implementations, • Write high quality, scalable, and maintainable code for AI and ML workloads, • Optimize performance, reliability, and cost efficiency of cloud based AI and ML services, • Integrate AI and ML solutions with enterprise data platforms such as data lakes, data warehouses, APIs, and streaming systems, • Support AI solution lifecycle management including versioning, prompt iteration, evaluation, and production support, • Apply security, compliance, and data privacy best practices in all AI and ML implementations, • Contribute to technical design discussions and provide guidance on AI and ML implementation patterns, • Stay current with advancements in AI, ML, and cloud technologies and apply them pragmatically, • 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, • 5+ years directly applicable experience (e.g., building and deploying AI and ML solutions), • Hands on experience developing AI and ML solutions on Azure and or AWS, • Strong proficiency in Python for building and operating LLM-powered applications and agentic workflows, • Experience integrating LLM applications with enterprise data sources, APIs, and retrieval systems (RAG), • Hands on experience building agentic and LLM-powered applications using frameworks such as LangChain, LangSmith, Pydantic AI, or similar orchestration and observability tooling, • Bachelor's degree in Computer Science, Engineering, Information Systems or related discipline Competencies: • Excellent oral and written communications skills, including technical and user documentation writing, • Strong analytical, problem solving, critical thinking and implementation skills, • Professional demeanor, • Excellent attention to detail, follow-up, organizational and communications skills, • Ability to work independently and under pressure, • Ability to solve problems independently and simultaneously, • Entrepreneurial by nature, • Ability to organize, prioritize and coordinate multiple activities often under tight timelines, • Ability to drive projects to completion and achieve goals, • Strong judgment, • Team-player with collaborative spirit, • Unwavering ability to handle and maintain confidentiality regarding firm information, projects,, • client data, • High level of professionalism at all times, • Effective presentation 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 $145,000 - $210,000. 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.

Senior Cyber Security Engineer Cooley is seeking a Senior Cyber Security Engineer to join the Security team. Position summary: Cooley Technology embraces a culture of customer service excellence and all members of the department are expected to move this agenda forward. To that end, the Cyber Security Engineer is expected to recognize that the Cooley Technology department is a service organization first and foremost and will be evaluated on this requirement equal in importance to the technical or operational responsibilities outlined later in this document. The Cyber Security Engineer will work to maintain and monitor the security practices and systems implemented by the Firm. The Cyber Security Engineer will implement and manage security systems and tools as directed by Firm policies, procedures, and management. Specific duties include, but are not limited to, the following: Position responsibilities • Review, analyze and monitor security system reports and logs for suspicious activities, trends and patterns. This includes but is not limited to web filters, mail gateways, firewalls, encryption systems, anti-malware systems, IDS/IPS, • Configure, maintain, and administer security products and solutions used within the Firm, • Configure, maintain and administer firewalls, VPN, privileged access management (PAM), data loss prevention, EDR, and security information event monitoring (SIEM) systems, • As a member of the Incident Response team respond to alerts, warnings, incidents, and help desk tickets to ensure minimum exposure of Firm assets under the direction of the Cyber Security Manager, • Participate in troubleshooting efforts on all cyber security related problems to include the establishment, management, and use of TAM arrangements with specified security vendors, • Participate as a technician/engineer on Technology and Innovation projects, • Conduct risk and security reviews on products as directed by the Cyber Security Manager or Technology management, • Recommend controls to ensure the appropriate level of protection and adherence to the goals of the overall information security strategy, • Monitor Technology security metrics and measures to include monitoring security system logs, Windows server logs, and network monitoring systems, • Provide consultation and conduct internal investigations that may require forensic analysis under the direction of the Cyber Security Manager and/or Technology management, • Respond to audit findings as directed by the Cyber Security Manager and/or Technology Management, • Evaluate and recommend commercial security vendors and products, • 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, • 5+ years of experience in information security with the proven ability to operate at an elevated level in terms of scope of responsibility, judgement and autonomy., • Proven practical experience in information security and well-rounded knowledge of Technology, • Experience working with:, • Active Directory, • Firewalls, • Intrusion Detection and Prevention Systems, • Endpoint Detection and Response (EDR) and management console, • Web filter/proxy technologies, • Encryption technologies - whole disk, e-mail, and data at rest, • Vulnerability scanners, • Data loss prevention, • Email gateways and anti-spam services, • Privileged account management systems, • Security information and event management systems, • AWS and Azure Cloud Services, • Bachelor's Degree in Information Technology or Computer Information Systems, • CISSP or equivalent certifications and/or experience, • Experience working with the following products:, • Palo Alto Network's Firewalls and Prisma Access, • Tenable Vulnerability Scanner, • VMWare, • Cyberhaven Data Loss Prevention, • Proofpoint Email Gateway and Anti-Spam, • Forensic Tools, • S/MIME email encryption, • Delina Secret Server, • Crowdstrike, • Google SecOps SIEM, • Two factor authentication technologies, • Penetration testing tools, • Patch management systems Competencies: • Exceptional customer service skills, • Excellent analytical, problem-solving, customer service, project management and communication skills, • Goal-oriented, • Excellent decision making, integrity and working with IT management, business users and staff, • Excellent oral and written communication skills, including technical and user documentation, • Strong organizational skills, • Ability to work independently and under high pressure with tight schedules and deadlines, • Ability to interact well with all levels of business professionals, • Excellent active listening skills, • Flexible and patient with process development/execution and adherence to instruct project management practices, • Capable of grasping new concepts quickly and without prior experience, • Detail-oriented, • Ability to multi-task and work in fast-paced environment, • Ability to interact and coordinate with several teams to achieve objectives, • Ability to solve problems independently and simultaneously, effectively managing multiple tasks, • Professional demeanor at all times 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 $145,000 - $210,000. 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.

Senior Technology Site Reliability Engineer Cooley is seeking a Senior Site Reliability Engineer to join the Infrastructure & Development Operationsteam. Position summary: The Senior Technology Site Reliability Engineer("SRE") is responsible for ensuring the reliability, scalability, and performance of the firm's critical infrastructure and applications. The SREblends software engineering with systems engineering to build and maintain automated, resilient, and observable systems that support high availability and operational excellence. In addition to being technically advanced, the SRE will have a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Monitor and maintain production systems to ensure high availability and performance, • Implement and manage service-level indicators (SLIs), objectives (SLO's), agreements (SLA's), and error budgets, • Participate in on-call rotations and incident response, including root cause analysis and postmortems, • Develop and maintain infrastructure as code (IaC) using Terraform, • Automate deployment, scaling, and recovery processes to reduce manual intervention, • Partner with DevOps to build and maintain CI/CD pipelines to support safe and efficient software delivery, • Implement observability solutions using metrics, logs, traces, and alerting systems (Prometheus, Grafana, DataDog, etc.), • Proactively identify and resolve system bottlenecks and reliability risks, • Work closely with Infrastructure, DevOps, Development, and security teams to embed reliability into the development lifecycle, • Contribute to a culture of blameless post-mortems and continuous improvement, • Document operational procedures and share knowledge across teams, • 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, • 6+ years direct applicable experience (e.g. site reliability engineering or related field), • Proficiency in Terraform and programming languages such as Python, Go, or Java, • Deep expertise in cloud platforms, particularly AWS, and container orchestration, • Strong background in distributed systems, performance tuning, and automation, • Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline, • Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow, • Experience with IaC deployment of AKS/EKS/GKE architecture, • Experience with enterprise Data Lake environments using technologies such as DataBricks or Snowflake Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, experience performing advanced troubleshooting and root cause analysis of complex technical issues, • Excellent organizational, planning, and time management skills and ability to work independently and in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely EOE. The expected annual pay range for this position with a full-time schedule is $140,000 - $205,000. 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.

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 theCapital 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 an

Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? • Competitive Base Salary, • Company paid health plan for employees, • Flexible Hours, • Very generous PTO, • Dental and Vision, FSA, HSA, • Small team, autonomy, • Many more great perks! Job Details Responsibilities: • Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)., • Ensure the robustness, scalability, and enterprise-level security of solutions., • Collaborate with the data science team to transform prototypes into new products, services, and features., • Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation., • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity., • Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data., • Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices., • Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus., • Minimum of 6 years of experience as a Machine Learning Engineer or similar role., • Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting., • Proven experience in designing and implementing machine learning solutions at scale on AWS., • Solid experience in software development with a focus on quality, performance, and scalability., • Proven ability to design and implement robust data pipelines., • Strong experience with data modeling, data access, and data storage techniques., • Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders., • Strong problem-solving skills, attention to detail, and ability to think creatively., • Ability to work independently and as part of a team in a fast-paced, dynamic environment., • Strong passion for learning and adapting to new technologies., • AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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We're seeking a Cyber Security Engineer with strong expertise in both application security architecture and cybersecurity tooling implementation. This role bridges hands-on technical security work with strategic design - ensuring that applications, services, and platforms are built securely from the ground up while continuously improving the organization's security stack through automation, integration, and operational excellence. Application Security & Architecture • Partner with development and enterprise architecture teams to design secure application architecture standards and establish and enforce secure coding practices., • Conduct threat modeling, application security reviews, and design-level risk assessments., • Integrate security into the SDLC and CI/CD pipelines, including SAST, DAST, dependency scanning, and secret management., • Develop and maintain standards, patterns, and reusable components for secure microservices, APIs, and cloud-native architectures., • Support modern frameworks (e.g., containerized applications, REST APIs, cloud functions) with tailored security guidance and tooling. Cybersecurity Tooling Implementation & Operations • Implement, integrate, and manage core cyber defense and application security tools (e.g., SIEM, SOAR, vulnerability management, secrets management, application scanning, and cloud security posture tools)., • Automate detection, alerting, and response workflows using scripting or orchestration frameworks., • Partner with multiple teams (networking, applications, etc) and Security Operations teams to optimize tool coverage and minimize alert fatigue through effective use cases and tuning., • Develop dashboards and metrics showing coverage, findings, and remediation trends., • Lead continuous improvement initiatives focused on efficiency, reliability, and risk reduction through technology adoption. Qualifications • Bachelor's degree in Computer Science, Cybersecurity, or related field (or equivalent hands-on experience)., • 3-7 years of experience in security engineering, with emphasis on application security and security tool administration., • Proficiency in one or more programming or scripting languages (Python, Java, or Go)., • Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their native security services., • Familiarity with CI/CD security integrations (GitHub Actions, Jenkins, GitLab CI, etc.)., • Experience with tools such as Snyk, Palo Alto, Burp Suite, Tenable, Abnormal, Sentinel, Wiz, or Realiaquest., • Strong understanding of OWASP Top 10, software supply chain security, and identity architectures., • Excellent communication and cross-team collaboration skills., • Experience with OT environments, operations and Preferred Certifications • CISSP, CSSLP, or MS Security Certifications, • GIAC GWAPT, GCSA, or GDSA Success in This Role You will thrive in this position if you: • Enjoy building security into the architecture rather than enforcing it as an afterthought., • Can balance innovation with practical risk management., • Are comfortable working across development, operations, and governance teams to drive security maturity forward., • Strong understanding of how to build and balance security and compliance, • Proficient with Microsoft stack to include Azure, Powershell, and Defender, • Proficient in OT security to include operational differences between IT and OT. Chobani is a food maker with a mission of making high-quality and nutritious food accessible to more people, while elevating our communities and making the world a healthier place. In short: making good food for all. In support of this mission, Chobani is a purpose-driven, people-first, food-and-wellness-focused company, and has been since its founding in 2005 byHamdi Ulukaya, an immigrant to the U.S. The Company manufactures yogurt, oat milk, and creamers - Chobani yogurt is America's No.1 yogurt brand, made with natural ingredients without artificial preservatives. Following the 2023 acquisition of La Colombe, a leading coffee roaster with a shared commitment to quality, craftmanship and impact, the Company began selling cold-pressed espresso and lattes on tap at cafes nationwide, as well as Ready to Drink (RTD) coffee beverages at retail. In 2025, Chobani acquired Daily Harvest, a modern brand offering consumers nutritious, delicious and convenient ready-to-make meals. Chobani uses food as a force for good in the world - putting humanity first in everything it does. The company's philanthropic efforts prioritize giving back to its communities and beyond. Chobani manufactures its products inNew York,Idaho,MichiganandAustralia, and its products are available throughoutNorth Americaand distributed inAustraliaand other select markets. For more information, please visit___ or follow us on Facebook, Twitter, Instagram and LinkedIn. Chobani is an equal opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws. The salary range for this full-time position is $94,000.00 - $147,950.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We're a technology company that leads with our humanity-driving our business priorities alongside meaningful social, community, and societal impact. How You Will Contribute: The Wavelogic family of products is widely used in Ciena's optical fiber transmission solutions and is one of the main contributors to Ciena's success in the telecommunications industry. To further strengthen our team, we are looking for an expert digital verification engineer who will be involved in the verification of these products, working within a team of digital design engineers, verification engineers and architects, in our Rochester NY office. Your role as an expert digital verification engineer will be to propose and implement innovative verification strategies, in order to thoroughly simulate and validate functional blocks, cores, and subsystems for the Wavelogic family of products.Following are examples of responsibilities in this role, however the role is not necessarily limited to this list and can vary from project to project: • You will be expected to quickly understand the architecture and functional requirements of the project in order to effectively communicate and collaborate with systems engineers and architects., • You will be responsible for the complete and detailed validation of entire subsystems by using an appropriate combination of simulation, formal and coverage methods., • You will be responsible for creating, reviewing and optimizing simulation environment components, test case scenarios as well as functional coverage and formal verification test plans., • You will be expected, if/when appropriate, to lead focused groups of individuals or mentor individuals and manage their priorities towards reaching a specific set of objectives, • You will be accountable for estimating schedules, and once approved track them towards timely completion, while providing clear and precise status updates at regular intervals, • Possibility of reporting directlyto the Senior Manager as an ASIC Verification Prime, • As an ASIC verification Prime, you would be responsible for all aspects of the verification of the digital portion of the Serdes as well as working with partner teams to ensure overall Serdes coverage., • Minimum Bachelor's degree in Electrical or Computer Engineering, Computer Science or other applicable scientific degree coupled with expert level experience in the use of System Verilog, UVM, SVA, and simulators from major vendors., • Proven ability in determining appropriate and comprehensive digital verification and coverage strategies, • Highly motivated self-starter, able to work independently, while being a great teammate, • Ability to methodically address (debug) sophisticated technical problems., • Excellent organization, written and oral English communication skills. Assets: • Experience with, • Formal verification methods, • DSP and/or Forward Error Correction, • Using Jira for bug tracking and GIT for source code management and revision tracking, • Familiarity with programming languages such as: Python, Make, bash, object-oriented programming, C, C++. The annual salary range for this position is $147,100 - $234,900. Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available. Non-Sales employees may be eligible for a discretionary incentive bonus, while Sales employees may be eligible for a sales commission. In addition to competitive compensation, Ciena offers a comprehensive benefits package, including medical, dental, and vision plans, participation in 401(K) (USA) & DCPP (Canada) with company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation time. We also comply with all applicable laws regarding Paid Family Leave and other leaves of absence. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is anEqual Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

Sr. 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 Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 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).

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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 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).

We are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology. Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the ed

Senior 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 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 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 theCapital 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 gu

Sr. 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 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 Cambridge, MA: $229,900 - $262,400 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 theCapital 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

Lead AI Engineer (AI Foundations, 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 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. McLean, VA: $197,300 - $225,100 for Lead AI Engineer Cambridge, MA: $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 theCapital 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 P

A leading software development company in New York is seeking an entry-level Python engineer to join their team in the Brooklyn office. The role involves working on the AI inference pipeline that powers sophisticated OCR and computer vision products. Candidates should have a strong interest in machi

We anticipate the application window for this opening will close on - 29 May 2026 At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You'll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life We are seeking a committed professional to join our team. While this is a remote position not located at a physical Medtronic site, the candidate hired will be required to reside within the territory and drive to multiple accounts throughout the region. A valid driver's license is essential for this role. As one of three comprehensive portfolios at Medtronic, Neuroscience is dedicated to improving the lives of people living with neurological disorders, spine conditions, and chronic pain. Guided by our Mission-to alleviate pain, restore health, and extend life-we develop technologies and therapies that help people regain function, reduce pain, and return to the activities that matter most. Medtronic Pelvic Health provides therapies that treat patients suffering from overactive bladder, non-obstructive urinary retention and fecal incontinence with our sacral neuromodulation (SNM) systems InterStim X? and InterStim? Micro; and our percutaneous tibial neuromodulation (PTNM) system NURO?. More than 400 million people worldwide have incontinence, and many of them limit their lives socially, professionally and personally because of their condition. Our goal is to expand access to our therapies, and introduce new therapies, so we can potentially help millions of people get their lives back. As a Pelvic Health Therapy Development Specialist, you will play a critical role in the successful introduction and adoption of new OAB (overactive bladder) therapies. You will provide in-depth technical support and guidance to help HCP teams build confidence, capability and belief in our innovative new therapies. The ideal candidate will be energized by the opportunity to partner with HCPs to offer new therapies and motivated to expand access for patients. You will possess a strong background in medical device technology, possess product and procedure expertise, therapy development experience, a strong track record of agility and adaptability to learn, and the ability to manage and collaborate with complex stakeholders and build effective working relationships. This role will require 50+% travel within the assigned district and potentially outside of the district as business needs dictate. Responsibilities may include the following and other duties may be assigned: Therapy Implementation * Own the customer implementation process and procedural success metrics to drive adoption of new Pelvic Health therapies within targeted accounts. Set a strong foundation for customer and procedural independence and program growth * Guide medical professionals to safely and effectively use new therapies including, but not limited to, implant and technologies that enable procedure success. Provide education and technical support to HCPs to enhance their understanding, usage, and long-term adoption of new therapies * Identify implementation and broader adoption challenges and determine the most appropriate avenue for resolution * Conduct reviews with HCP teams to provide metrics on implementation status, discuss successes and address any challenges. Gather and analyze feedback from physicians and clinician teams to identify areas for improvement, optimization, and long-term adoption * Collaborate with cross-functional teams, including marketing, sales, and product development, to ensure a successful product launch ? Market Development * Partner with District Manager, Marketing, Medical Education and Field Market Development to identify current and future needs related to procedure market development at targeted accounts * Develop and execute therapy development plans for each target account to support sustained adoption ? Customer Relationship Management * Build and maintain strong relationships with HCP and staff at supported sites * Act as a liaison between the company and healthcare provider teams to address any concerns or questions related to new products ? Case Coverage * Provide on-site technical support during initial procedures to ensure the proper use * Assist physicians and clinical staff with technical guidance and troubleshooting during procedures * Ensure compliance with all safety protocols and guidelines during product usage in the OR/ASC/Office ? ? Clinical expertise * Stay up to date on latest clinical publications * Attend at least 1 physician training - potentially supports cadaver portion of that training * In accordance with applicable Medtronic policies and procedures, share new support materials (e.g. case publications, case libraries, etc.) with HCPs * Share insights and best practices with internal teams ? Continuous Improvement * Stay updated on the latest advancements in relevant technology and surgical techniques * Participate in ongoing training and professional development opportunities to enhance skills and knowledge * Contribute to the continuous improvement of training programs and technical support processes ?We seek out and hire a diverse workforce at every level: We need fresh ideas and inclusive insights to continue to be an innovative industry leader -that's why we make it a point to seek out, attract and develop employees who are patient-centric, passionate, and who represent the same wide variety of life experiences as our patients. To learn more about Inclusion & Diversity at Medtronic Click Here () Qualifications: Must Have: Minimum Requirements To be considered for this role, please ensure the minimum requirements are evident on your resume. * High School Diploma (or equivalent) AND 8+ years relevant sales, clinical, or related experience in medical devices, medtech, healthcare, or life sciences * OR Associate's Degree AND 6+ years relevant sales, clinical, or related experience in medical devices, medtech, healthcare, or life sciences * OR Bachelor's Degree AND 4+ years relevant sales, clinical, or related experience in medical devices, medtech, healthcare, or life sciences Preferred Qualifications: * ? Advanced degree or certification in a relevant field * ?Experience with product launch and market introduction of medical devices * Proven track record of successful physician training and/or case coverage * Strong understanding of surgical procedures and medical device technology * Confidence to provide physician constructive feedback to improve performance * Excellent communication and presentation skills * Ability to work independently and collaborate with cross-functional partners to assess and address barriers to full adoption * Ability to manage change in a way that reduces the concern experienced by others For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. U.S. Work Authorization & Sponsorship At Medtronic, we are committed to fostering an environment where employees can thrive and make a meaningful impact. In alignment with our enterprise-wide workforce planning approach, U.S. work authorization sponsorship (H-1B, TN, J, etc.) is offered exclusively for Principal-level roles and above, where specialized expertise aligns with long-term business needs. Roles below the Principal level require candidates to possess unrestricted U.S. work authorization at the time of hire and for the duration of employment. Join us in our mission to alleviate pain, restore health, and extend life-where your unique background and perspective are valued. Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. Salary ranges for U.S (excl. PR) locations (USD):$125,000.00 - $125,000.00 The base salary range is applicable across the United States, excluding Puerto Rico and specific locations in California. The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others). In addition to Base Salary, this position is eligible for a Sales Incentive Plan (SIP), which provides the opportunity to earn significant incentive compensation for achieving or exceeding your goals. The following benefits and additional compensation are available to those regular employees who work 20+ hours per week: Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program). The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums). Regular employees are those who are not temporary, such as interns. Temporary employees are eligible for paid sick time, as required under applicable state law, and the Employee Stock Purchase Plan. Please note some of the above benefits may not apply to workers in Puerto Rico. Medtronic benefits and compensation plans () About Medtronic We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people. We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity here () . It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities. If you are applying to perform work for Medtronic, Inc. ("Medtronic") in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here () a list of all material job duties of the specific job position which Medtronic reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. Medtronic will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people. We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. We change lives . Each team member, each day, helps to improve and redefine how the world treats the most pressing health conditions, from heart disease to diabetes. Our industry leadership comes from the passion and ingenuity of our people. That's who we are. Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives. We build extraordinary solutions as one team . With one Medtronic Mindset defining how we work. Speed and decisiveness run through our DNA. Diverse perspectives inspire our bold answers to any challenge that comes our way. And we deliver results the right way, breakthrough after patient breakthrough. This life-changing career is yours to engineer . By bringing your ambitious ideas, unique perspective and contributions, you will... * Build a better future, amplifying your impact on the causes that matter to you and the world * Grow a career reflective of your passion and abilities * Connect to a dynamic and inclusive culture that welcomes the challenge of life-long learning Experiences that put people first . Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career-building resources you need. Life-transforming technologies . No matter your role, you contribute to technologies that transform lives. What we build empowers patients to live life on their terms. Better outcomes for our world . Here, it's about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls. Insight-driven care . Fresh viewpoints. Cutting-edge AI, data, and automation. You're shaping the future of healthcare technology and defining the next generation of breakthroughs in care It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities. For sales reps and other patient facing field employees, going into a healthcare setting is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support. This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here () . For updates on job applications, please go to the candidate login page and sign in to check your application status. If you need assistance completing your application please email To request removal of your personal information from our systems please email

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 theCapital 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 C

Job DescriptionDescription: KSE is a mid-size construction management and engineering firm ranking in the ENR Top 100 for CM and ENR Top 500 for design services. With seven offices across four states (NY, NJ, PA and CT), the firm has been providing transportation and public infrastructure construction services for more than three and half decades. KSE offers a full range of employee benefits, including medical, dental and vision insurances, a 401(k) plan, paid time off, Flexible Spending Accounts (FSAs), long- and short-term disabilities, and term life insurance. KSE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Position: Geotechnical Field Engineer Reports: Geotechnical Manager Technical Responsibilities: • Perform geotechnical field investigations, explorations, geologic reconnaissance, and site mapping., • Prepare geotechnical field boring logs, soil and rock sampling, and field permeability testing., • Support geotechnical laboratory testing and analysis., • Perform basic engineering calculations, data interpretation, and technical analysis., • Assist in preparing geotechnical reports and project documentation., • Coordinate with subcontractors in the field to complete scope-of-work activities., • Travel to field assignments throughout NJ, NY, PA, and CT; occasional overnight stays may be required., • 0 to 3 years of experience as a Geotechnical Field Engineer., • Bachelor’s degree in civil engineering, Geotechnical Engineering, Geology, or a related field, • Green Infrastructure project experience and permeability testing is a plus, • Previous internship experience a plus., • Engineer-in-Training (EIT) certification – plus., • OSHA 10-hr or 40-hr HAZWOPER training – plus., • Experience with RSLog or gINT– plus., • Previous internship or field experience in geotechnical engineering – plus., • Ability to work independently and as part of a team., • Reliable transportation to travel between job sites and office/lab (mileage, tolls & parking reimbursed). Physical & Work Environment Requirements: • Ability to sit, stand, walk, climb, kneel, crouch, crawl, grasp, reach, push/pull, and perform repetitive motions as needed for field tasks., • Frequently lift and/or move up to 35 lbs. occasionally up to 75 lbs., • Visual acuity required for data analysis, computer use, reading, and site inspections., • Outdoor work performed 50–90% of the time, often on uneven terrain and in varying weather conditions., • Exposure to outdoor elements including insects, plants, animals, and environmental temperatures typical of the region., • Occasional exposure to hazards such as moving mechanical parts, vehicles, electrical systems, heights, scaffolding, or chemicals., • Daily travel ranging from 1 to 3 hours depending on project location; overnight travel may be required. Schedule: • Sites may require commute as long as 1 hour to 3 hours of driving. Sometimes overnight stay for the duration of the project., • The field inspections/visits are dictated by construction schedules and could include early morning or late evening timing at the project site., • Ability and willingness to work alternate hours, to include overnight hours as required by the project specific requirements., • The employee is subject to both inside and outside environmental and climate conditions, • The employee is expected to perform approximately 50 to 90 percent of their work week outdoors with the remaining time in the office. Outdoor work frequently includes walking on uneven surfaces in all types of weather conditions and may have exposure to animals, insects, plants, etc., • The employee is subject to hazards such as proximity to moving mechanical parts, moving vehicles, electrical current, working on scaffolding and high places, exposure to various heat/cold temperatures typical of the region or exposure to chemicals., • Must have a reliable form of transportation to travel between job sites and the office/lab with equipment and/or samples. Miles, tolls, and parking reimbursed. What We Offer: • In-house Safety Training and free PPE to field staff., • Dedicated mentorship program., • Learning and Development initiatives., • Purpose driven opportunity to work on exciting infrastructure and sustainability projects building America., • Inclusive culture celebrating diversity., • Health Insurance Benefits with HSA option., • Disability, Life Insurance, and 401K Retirement Accounts., • Paid Vacation and Sick Time, Paid Holidays., • Tuition Reimbursement., • Career Advancements., • Company Holiday Party, Company Summer Outings, Friday Breakfast, Monthly Heritage Celebration Lunch, Lunch & Learn Programs. Pay Transparency: Base salary is $55,000 to $70,000 per year. Base salary is only one part of KS Engineers total compensation, which includes an annual discretionary bonus. KS Engineers, P.C. is an EOE/AA/VEV/Disabled Employer. KSE will not discriminate based on race, color, religion, creed, sex, national origin, marital status, age, disability, veteran status, citizenship status, or other status protected by law.

GraphQL Developer | Own Full-Stack Architecture in a High-Impact Consulting Environment This Jobot Job is hosted by: Andrew Nguyen Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $185,000 per year A bit about us: We are a high-end technology consulting firm based in the Northern Virginia area. Our customers routinely call upon us to solve some of the largest scale and hardest problems in computer science and software development. If you have a solid grounding in software engineering, continuous delivery, and computer science, and are looking for a career opportunity to grow and leverage those skills to the fullest while working on cutting edge technologies – Here is the place to be! Why join us? • 184k Salary!, • 15% Annual Bonuses!, • Remote Schedule!, • 100% company paid medical, dental, and vision insurance (including family)!, • 100% company paid individual short- and long-term disability!, • 100% company paid vision insurance!, • 3% company contribution to 401(k)!, • 15 days paid time off per year + 1 day/year up to 20 days!, • 10 training days per year!, • 8 company holidays + 2 personal days! Job Details We are looking for a talented and experienced Lead Software Engineer to lead a remote-first team of full-stack software engineers working in a complex enterprise environment. This is a hands-on leadership role for someone who can drive technical direction, maintain a high delivery bar, and operate effectively across architecture, product, and engineering stakeholders. The initial assignment is to help lead the development and modernization of enterprise financial services platforms, including backend systems, federated GraphQL services, workflow-driven application components, and cloud-native infrastructure on AWS. The right candidate will combine strong software engineering depth with delivery accountability, sound technical judgment, and the ability to move work forward in messy, real-world environments. JOB RESPONSIBILITIES • Lead a team of software engineers, SDETs, and DevOps-oriented engineers in the delivery of complex software systems, • Perform hands-on application programming with an emphasis on backend and integration systems development using GraphQL, Apollo, Node.js, TypeScript, JavaScript, Python, RESTful APIs, and data pipelines, • Architect, design, and build distributed systems and integrations using a suite of AWS components including but not limited to EKS, Lambda, S3, MSK, and Aurora, • Design and implement GraphQL subgraphs and contribute to federated graph architecture and schema governance, • Define and maintain architectural standards, ensuring systems remain scalable, secure, maintainable, and aligned with enterprise constraints, • Oversee project execution across multiple complex initiatives, managing timelines, risks, dependencies, and delivery outcomes, • Define and enforce engineering best practices around code quality, CI/CD pipelines, deployment workflows, and cloud operations, • 2+ years of experience as a tech lead, • 3+ years of experience as a senior software engineer, • 7+ years of software development experience including 3+ years of TypeScript and Node.js, • 2+ years of experience working with GraphQL, • Strong experience developing, deploying, and supporting systems in AWS, • Strong SQL skills, • Working knowledge of at least one of the following frontend JavaScript frameworks: Angular, Ionic, React, or Vue, • Experience building and improving CI/CD pipelines, • Full application stack development experience from front-end to persistence, • Full software lifecycle participation from requirements to post-implementation support, • Linux command line proficiency Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

An innovative technology firm in New York is looking for a Software Engineer to enhance its identity platform.

ButterflyMX is seeking a Senior Full Stack Computer Vision Engineer to join our engineering team! This role is ideal for a hands‑on generalist who combines strong full stack development skills with a genuine passion for machine learning. Strong understanding of software engineering best practices,

We’re looking for a Software Engineer with deep experience in computer vision and image signal processing to help build the next generation of CLEAR products, expanding beyond ID to unlock the power of networked digital identity. As part of our engineering team, you’ll shape, build, test, and de

We’re looking for a Senior Software Engineer with deep experience in computer vision and image signal processing to help build the next generation of CLEAR products, expanding beyond ID to unlock the power of networked digital identity. Enhance and maintain the computer vision components and algor

A healthcare technology firm is seeking a lead deep learning engineer to spearhead the development of its sensing technology. The role involves designing and optimizing computer vision models for edge deployment, contributing to healthcare solutions that significantly impact patient care. Candidates

An innovative identity solutions firm in New York is seeking a Senior Software Engineer experienced in computer vision and image signal processing.

ButterflyMX is seeking a Senior Full Stack Computer Vision Engineer to enhance access control products using machine learning.

We’re looking for a Senior Software Engineer with deep experience in computer vision and image signal processing to help build the next generation of CLEAR products, expanding beyond ID to unlock the power of networked digital identity. Senior Software Engineer, Computer Vision. As part of our eng

Job Description About the Role Our client prioritizes results over methods. As a Staff Software Engineer, you will own the software solutions you develop, make informed decisions about project priorities, and keep the product's future and roadmap at the center of everything you build. You will leverage technology to resolve complex problems, design customer-centric products and features, and maintain systems built to scale extensively. What You'll Do • Determine team objectives and priorities, • Be involved from the outset in product ideation and development, • Take initiative on product discovery and refinement sessions, • Own problem analysis, solution crafting, and system architecture, • Deliver top-quality code and thorough documentation, • Bachelor's and/or Master's degree in Computer Science or related field, • At least 7 years of professional experience in software development shipping production code, • Fluent in one or more backend languages such as Python, Node.js, Java, or C/C++ — Next.js and/or React experience is a plus, • Experience building, testing, and deploying microservices, • Experience with distributed systems development — performance optimization is a plus, • Interest or experience developing or leveraging modern generative AI technologies including both proprietary and open-source large language models is a plus, • Experience with AWS, PostgreSQL, Docker, and ECS/Kubernetes is a plus, • Base: $210,000 - $270,000 depending on experience, • Annual performance bonus up to 30%, • Meaningful equity and growth opportunities in a fast-growing AI healthcare startup, • Comprehensive benefits package including health, dental, and vision To Apply Please send your resume to

A secure identity technology company is seeking a Senior Software Engineer in New York, specializing in computer vision and image signal processing.

D-ID, Synthesia, or custom solutions)• Strong background in voice sync and lip-sync technologies• Proficiency in computer vision (face detection, facial landmarks, image/video processing)• Experience with deep learning frameworks (PyTorch, TensorFlow)• Availability for meetings during US Eas

Job DescriptionDescription: KSE is a mid-size construction management and engineering firm ranking in the ENR Top 100 for CM and ENR Top 500 for design services. With seven offices across four states (NY, NJ, PA and CT), the firm has been providing transportation and public infrastructure construction services for more than three and half decades. KSE offers a full range of employee benefits, including medical, dental and vision insurances, a 401(k) plan, paid time off, Flexible Spending Accounts (FSAs), long- and short-term disabilities, and term life insurance. KSE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Position: Resident Engineer Reports to: Project Manager Job Summary: The Resident Engineer will manage projects for the Project/Construction Management group. In this role, will lead Resident Engineering Inspection teams on Capital Infrastructure projects in transportation (Highways and Bridges) construction projects. Collaborate with client and business development teams with the goal of supporting Construction Management pursuits and proposals. Technical Responsibilities: • Responsible for the supervision of the construction inspection of various types of construction projects and enforcing safety and quality requirements.., • Serves as the Owner's direct on-site representative to the contractor., • Duties include direct supervision of a project's construction engineering/inspection staff, performing quality assurance and oversight of the work in progress and ensuring that the project is constructed in general conformance with the contract plans and specifications., • Responsible for performing constructability reviews of design documents; analyzing all technical aspects of construction, reviewing and recommending major construction changes, and supervising construction inspection activities for all phases of the project lifecycle., • Participates in project meetings and planning sessions., • Review and process RFI’s, submittals, change orders, as-built quantities, and contractor’s payments, • Possesses strong supervisory and technical skills; effective time-management skills; strong computer skills; strong mathematical skills including algebra, geometry, and trigonometry; excellent verbal, written, and interpersonal communication skills; able to mentor staff in functional areas of technical construction inspection activities., • Assigns, instructs, and directs project staff in their work of inspection of the materials and work procedures involved., • Possesses an understanding of the equipment, materials and methods utilized by contractors and confirms that these methods conform to the applicable contract plans and specifications., • Perform construction inspection and administrative services for cost control, progress control and quality control., • Prepares and maintains all required reports and verifies that the assigned project has been fully documented., • Receives and investigates complaints and inquiries from property owners, citizens, and public officials., • Represents the owner in dealings with the contractor and public agencies on the local, county, and state levels., • Directs the activities of sub-consultants and other KSE Departments., • Is proficient in software required to complete assigned projects., • Responsive to Client and other KSE Managers/needs. Administrative Responsibilities: • Identifies out-of-scope work., • Monitors invoice ability of self and assigned staff to verify compliance with established goals., • Familiar with all company policies and procedures and verifies implementation and compliance., • Completes time sheet on a daily basis., • Verifies that assigned staff have been provided with correct time charge information., • Bachelors of science degree, preferably in Engineering, Architectural, or Construction Management, • Ten (10) years of roadway / bridge experience, at least half of which has been at the Resident Engineer level Professional Licenses/Registrations: • Licensed Professional Engineer (PE) in the State of New Jersey, or, • NICET Level IV certification from the National Institute for Certification in Engineering Technologies., • OSHA 30 preferred Physical Requirement: • Fit for highway construction inspection., • Possible night shift and weekend work on an emergency basis., • Ability to work in diverse weather conditions, • Extended periods of standing and walking, possibly on uneven or challenging terrains, • Climbing, bending, kneeling, • Conduct site visits and inspections to monitor construction activities and ensure they adhere to safety protocols and engineering requirements, • Lift up to and carry up to 25 lbs. General Qualities: • Capable of leading, training, inspiring, and motivating the staff., • Provides technical and management support to the Department Manager/Regional Manager/Project Manager., • Has full technical and administrative responsibility for interpreting, organizing, executing, and coordinating projects/assignments., • Manages a major complex project and/or several routines/fewer complex projects. KS Engineers, P.C. is an EOE/AA/VEV/Disabled Employer. KSE will not discriminate based on race, color, religion, creed, sex, national origin, marital status, age, disability, veteran status, citizenship status, or other status protected by law.

Job DescriptionResident Engineer - NYC Area Location: New York, NY Employment Type: Full-Time | On-Site Salary Range: $180,000 - $215,000 annually Industry: Civil Engineering | Construction Inspection | Infrastructure | Highway & Bridge Projects About Garg Consulting Services, Inc. Garg Consulting Services, Inc. (Garg) is a leading multidisciplinary engineering and construction management firm specializing in civil, highway, bridge, and structural engineering. We provide construction inspection services and deliver high-quality infrastructure projects across New York and the Northeast. We are currently seeking an experienced Resident Engineer to join our NYC-area team. Position Overview As a Resident Engineer, you will oversee construction inspection and project management activities for highway, bridge, and civil infrastructure projects. This role requires hands-on field experience, technical expertise, and leadership to ensure projects meet design, safety, and regulatory standards. Key Responsibilities • Collaborate with project managers, engineers, and contractors to resolve construction-related issues., • Review project documentation, including plans, drawings, and specifications, for accuracy and completeness., • Review and approve engineering and project submissions such as RFIs, working drawings, and value engineering requests., • Conduct materials inspection and acceptance prior to installation., • Monitor construction activities to verify adherence to plans and specifications., • Track, document, and manage project issues and conditions., • Document field conditions and completed work., • Participate in project meetings and provide technical guidance on construction inspection; record meeting minutes when required., • Contribute to and prepare monthly project status reports.Required Qualifications, • Bachelor's degree in Civil Engineering, Construction Management, or equivalent certification, • Active New York Professional Engineer (PE) license or NICET IV required, • Minimum 8 years of experience as a Resident Engineer; 5 years in highway and bridge construction, • Experience with NYSDOT or NYSTA projects preferred, • Strong knowledge of rail design practices and construction techniques, • Meet background check requirements, • 30-Hour OSHA Certification, • Working knowledge of CPM scheduling; P6 experience preferred, • Ability to perform quantity and engineering computations, interpret plans and specifications, and apply inspection codes and material testing requirements, • Familiarity with relevant codes, regulations, and standards, • Proficiency with computer software and mobile devices for documentation and reporting, • Physical ability to perform site inspections in various weather conditions, • Detail-oriented with excellent written, oral, and interpersonal communication skillsPreferred Skills & Experience, • Experience in highway, bridge, and rail infrastructure projects, • Knowledge of construction management practices and quality assurance protocols, • Experience with design-build and conventional project delivery, • Strong stakeholder and client communication skillsCompensation & Benefits, • Competitive Salary: $180,000 - $215,000 annually (based on experience), • Medical, Dental & Vision Insurance, • 401(k) Retirement Plan with Company Match, • Paid Time Off & Paid Holidays, • Performance-Based Bonuses, • Professional Development & Licensing Support Final candidates are required to undergo a background check and a pre-employment drug screening. These screenings may include employment and education verification, reference checks, and a criminal history check as allowed by law. All screenings are conducted in accordance with federal, state, and local requirements, including the Fair Credit Reporting Act (FCRA). Employment offers are contingent upon the successful completion of all required checks.