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Position Overview: The Director of QA & Compliance leads and manages the global end-to-end quality assurance, product integrity, and regulatory compliance programs across all product lines at Duluth Trading Company. This role ensures that every Duluth product meets the company’s quality promise on our high-quality and ingenious gear, which is to last with unmatched durability, and complies with US state and federal regulations. Position Details: Work Environment: At Duluth Trading Company, we value face-to-face interactions that foster our culture of learning, creativity, and teamwork. The role is based at our headquarters near Madison, WI. You will work in the office Monday through Thursday, with the option to work from home on Fridays if you prefer. What You’ll Do: • Develop and implement Quality assurance and compliance strategies aligned with company objectives and customer expectations, • Lead and manage quality assurance systems and Inspection protocols, • Ensure consistent adherence to standards and specifications throughout the manufacturing process, • Drive continuous improvement initiatives to enhance product quality, reduce defects, and optimize production processes, • Ensure Total Quality management is established and maintained across all suppliers, utilizing inspection processes and conducting Technical Factory Evaluations, • Partner with Tech Design and Raw Material leaders to ensure that Product testing protocols meet customers’ expectations on the durable quality products, • Work with the 3rd party labs & providers to utilize their service for inspections, when needed, • Build and strengthen supplier relationships to ensure products and manufacturing processes meet safety, quality and environmental standards, • Develop and lead a team of QA professionals. Provide training and guidance to ensure teams are equipped with skills and knowledge to uphold high quality standards and achieve departmental goals, • Define and own the factory certification program, • Collaborate with cross-functional teams, including product development, technical design, sourcing and logistics, • Analyze quality data to identify trends, root causes and identify areas of improvement and enforce CAP with suppliers, • Evaluate and enhance Supplier QA Scorecard and KPI, • Evaluate and implement the compliance programs to ensure all US federal, state, and international trade compliance mandates, • Manage the Product Safety protocol, • Enforce factory social compliance, human rights, and environmental audit programs, • Lead and Manage the FC audit teams in ADV and BVL for inbound shipment audits, • Manage the quality & labor chargeback for any quality failures with suppliers, • Execute any local re-work projects, when needed What We’re Looking For: • Bachelor's Degree in Apparel/ Textile- Product Development, Quality Management or Engineering - Equivalent work experience will be considered., • 10+ Years of experience, • 5+ Years of management experience, • 10+ years of experience in US retail QA and compliance leadership with multi-category experience across apparel, hardgoods and gears, • 3+ Year of Experience in managing Fulfillment QA team in US is preferred, • Proven track record of implementing and managing QA programs in a global manufacturing environment, • Strong Knowledge of global sourcing, manufacturing and TQM, • Deep technical knowledge of product construction, materials, garment washing, applications and manufacturing processes for all apparel and accessories categories, • Strong working knowledge of CPSC, CPSIA, Prop 65, FTC rules, and global social compliance frameworks, • High integrity and ethical standards, • Strong leadership and communication skills. Fluent in English, • Six Sigma / Lean (Green or Black Belt), ASQ Certified Quality Manager (CQM), or Certified Quality Auditor (CQA) preferred, • Highly organized and detail oriented, with a keen sense of urgency, • Highly motivated and able to collaborate with cross functional teams, • Proficient in Google applications and experience with PLM software, • Authorization to work in the United States without sponsorship Leadership Competencies: Leading Self: Leading Others: • Inspiring Trust, • Adaptability, • Mature Confidence, • Career and Self Development, • Driving Execution, • Building Organizational Relationships, • Empowering Others, • Fostering Open Dialogue, • Attracting & Developing Talent, • Leadership Versatility Physical Environment & Travel Expectations: • Travel is required for up to 25%: International and Domestic, • Sitting is required for 80% of working hours, • Standing is required for 20% of working hours., • Continuous arm, hand, and wrist movement (ie: typing), • Occasional reaching, twisting, and bending., • Noise level no greater than casual conversation., • Ability to perform work in cubicle workstations or an office setting, • Work in temperatures ranging from 65 - 75 degrees Duluth Headquarters Benefits and Perks Our pursuit of a better way isn't just about our products—it's about our people too. That's why our Dam Good Crew enjoys a comprehensive benefits package, designed to support their well-being and success. Multiple Medical plan options Dental & Vision plans Medical and Dependent Care Flexible Spending Accounts Health Savings Account including company contributions Company paid Life Insurance and AD&D Company paid Short-Term Disability Other various voluntary benefits including: Accident, Critical Illness, Hospital Indemnity, Long-Term Disability and Supplemental Life Insurance 401(k) Employer Match Parental Leave Paid holidays: New Year’s Day, Martin Luther King Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving Day, Christmas Eve, Christmas Day Paid Time Off: take it as you need it policy for exempt employees Daily pay available 40% Employee Discount Flexible Fridays Onsite fitness center Position Compensation Outline Compensation Range: $135,000 - $160,000/year This position is eligible to participate in the company bonus and long term incentive programs upon hire. Compensation listed is for the full-time position at this specific location and is based on several factors, including experience, and qualifications. Benefits and perks may have eligibility requirements and are subject to change. #LIONSITE The responsibilities outlined in this position description are a guideline for the general duties of the position and are not exhaustive of all duties inherent in the job. Duluth Trading Company is an Equal Opportunity Employer. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential functions. About Duluth Trading Company: Started in 1989, Duluth Trading Company exists to enable hard-working individuals to take on life with their own two hands. Folks that revel in doing it the hard way and celebrate finding a better way. We seek talented individuals who share these beliefs and are excited to further the Duluth Trading legacy with a digital-first mindset, always moving forward and always innovating. From ingenious Duluth workwear, to comfortably capable Buck Naked Underwear, to outside-embracing AKHG, it’s all about the innovative gear and gadgets that equip customers for a more hands-on way of life. Top-notch quality, immersive storytelling, outstanding customer service, and the shared belief that the go-all-in-and-dig-deep spirit exists with everyone are what sets Duluth Trading Co. apart. We seek talented folks looking to be part of a can-do team that’s hellbent on helping the world to gear up, get its hands dirty, and do.

Our client, an asset management firm in New York City, is hiring a Full Stack .NET Developer for a consulting engagement on its financial operations platforms. \n \n Responsibilities \n\n • Help shape the design of enhancements to the platforms\n, • Build new features across the C# back end and Angular front end\n, • Handle releases as updates go to production\n, • Troubleshoot and fix bugs as they come up\n, • Produce one-off reports when requested\n, • Review and clarify business requirements with Business Analysts\n, • Work closely with the client’s New York development team\n\n \n Requirements \n\n • 5+ years of hands-on C# and ASP.NET development on .NET Core or the .NET Framework\n, • Experience writing unit tests\n, • Strong front-end skills in Angular\n, • Hands-on work developing RESTful APIs\n, • Agile delivery experience, including Git version control, refactoring and mocking\n, • Strong SQL, ideally on Microsoft SQL Server or another relational database\n, • A firm grounding in OOP principles, common design patterns and coding best practices\n, • Comfort adjusting to shifting priorities on financial software projects\n, • Ability to pick up new tools and bring forward ideas to improve processes\n, • Openness to working in technologies outside .NET\n\n \n Pluses \n\n • Working knowledge of a CI/CD or DevOps platform\n, • Exposure to an API integration platform\n, • Prior work on financial operations systems\n\n \n The role is hybrid, working from the client’s New York City office part of the week. \n \n Work Authorization: Candidates must be currently authorized to work in the United States without employer sponsorship, now or in the future. H-1B transfers and visa sponsorship are not supported for this position.

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n 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. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Director, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams\n, • Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems\n, • Lead large-scale ML initiatives with the customer in mind\n, • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale\n, • Optimize data pipelines to feed ML models\n, • Use programming languages like Python, Scala, or Java\n, • Evangelize best practices in all aspects of the engineering and modeling lifecycles\n, • Recruit, nurture, and retain top engineering talent\n, • Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers\n, • Recruit, nurture, and retain top engineering talent\n, • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 3 years of people leadership experience\n, • At least 8 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience managing and leading an engineering team\n, • 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • Ability to communicate complex technical concepts clearly to a variety of audiences\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n, • Experience hiring and developing high-performing ML engineers with an inspiring leadership style \n, • Highly developed interpersonal, presentation, and communications skills\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer\n \n New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Intellibus Consulting is a boutique engineering and AI transformation firm that builds mission-critical platforms for global financial institutions. We operate at the intersection of engineering excellence, business outcomes, and executive-level delivery. \n \n At Intellibus, our leaders are hands-on builders who understand technology deeply, engage confidently with senior executives, and take ownership of client success. We believe successful technology transformation requires leaders who can connect business strategy, architecture, engineering, and execution \n \n Job Description \n \n We are looking for exceptional Forward Deployed Engineers with deep hands-on software engineering expertise, particularly in Java, backend engineering, full-stack development, microservices, and distributed systems. \n This is a highly technical, client-facing engineering role that requires someone who can move seamlessly between architecture, software development, solution delivery, and executive-level client engagement. \n You will work directly with client engineering teams, technology leaders, and business stakeholders to understand complex challenges, design technical solutions, and lead the development and implementation of enterprise-grade platforms. \n Beyond engineering delivery, you will play an important role in expanding strategic client relationships by identifying technology opportunities, recommending solutions, demonstrating technical capabilities, and helping grow existing accounts. \n We are specifically looking for engineers who have worked in technology consulting or professional services environments and are comfortable taking ownership of both technical delivery and client relationships. \n \n Key Responsibilities \n Hands-on Software Engineering & Architecture \n\n • Design, develop, and deliver scalable enterprise applications using Java and modern software engineering technologies.\n, • Demonstrate deep hands-on expertise in Java, Spring Boot, Spring Framework, REST APIs, and backend application development.\n, • Build complex microservices-based architectures, distributed systems, and event-driven applications.\n, • Develop full-stack solutions with strong backend capabilities and practical frontend development experience.\n, • Work across the entire software development lifecycle, from architecture and design through coding, testing, deployment, and production support.\n, • Lead technical implementation while remaining actively involved in writing and reviewing code.\n, • Develop reusable components, APIs, integrations, and enterprise application frameworks.\n, • Troubleshoot performance bottlenecks, scalability challenges, concurrency issues, and complex production defects.\n\n \n Backend, Frontend & Full-Stack Development \n\n • Build backend services using Java, Spring Boot, Hibernate, JPA, and related technologies.\n, • Design and implement RESTful APIs, microservices, and enterprise integrations.\n, • Develop frontend applications using React, JavaScript, TypeScript, HTML, and CSS.\n, • Integrate frontend applications with backend services and enterprise platforms.\n, • Work with relational and NoSQL databases, including PostgreSQL, Oracle, MongoDB, or similar technologies.\n, • Implement authentication, authorization, security, and API integration patterns.\n, • Ensure application performance, maintainability, reliability, and scalability.\n\n \n Microservices & Cloud-Native Engineering \n\n • Design and implement microservices architectures and distributed application platforms.\n, • Work with messaging and event-streaming technologies such as Apache Kafka.\n, • Build asynchronous processing, event-driven integrations, and resilient distributed services.\n, • Apply design patterns for service discovery, fault tolerance, circuit breakers, and distributed transactions.\n, • Deploy and operate applications on AWS, Azure, or GCP.\n, • Work with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.\n, • Apply observability practices using logging, monitoring, tracing, and performance management tools.\n, • Understand cloud-native architecture, scalability, availability, and system reliability.\n\n \n AI & Agentic Engineering \n\n • Explore and implement AI-powered enterprise applications and intelligent workflows.\n, • Integrate LLMs and AI capabilities into existing enterprise applications and platforms.\n, • Develop AI agents, tool-calling workflows, and agent orchestration capabilities.\n, • Work with retrieval-augmented generation (RAG), vector databases, and enterprise data integrations.\n, • Identify opportunities to apply AI and automation to solve client business and technology challenges.\n, • Build practical prototypes and take successful AI solutions through production implementation.\n\n \n Client Consulting & Strategic Account Growth \n\n • Work directly with client CTOs, CIOs, engineering leaders, architects, and business stakeholders.\n, • Understand client technology environments, business priorities, and strategic challenges.\n, • Translate business problems into technical solutions and actionable engineering roadmaps.\n, • Lead technical discovery sessions, architecture discussions, solution demonstrations, and client workshops.\n, • Identify opportunities for platform modernization, application development, cloud transformation, and AI adoption.\n, • Help expand existing client engagements by identifying new projects, engineering opportunities, and areas where Intellibus can add value.\n, • Build trusted relationships with client stakeholders and contribute to long-term account growth.\n, • Prepare technical proposals, solution presentations, architecture diagrams, and executive-level materials.\n, • Collaborate with leadership and account teams to shape new opportunities and support business development.\n\n \n Required Technical Expertise \n Java & Backend Engineering \n\n • Extensive hands-on experience with Java and Spring Boot.\n, • Strong understanding of OOP, multithreading, concurrency, collections, JVM fundamentals, and performance optimization.\n, • Experience with REST APIs, Hibernate, JPA, and enterprise application development.\n, • Strong knowledge of backend architecture and enterprise integration patterns.\n\n Full-Stack Development \n\n • Experience building frontend applications using React, JavaScript, and TypeScript.\n, • Ability to independently work across backend and frontend components.\n, • Strong understanding of API integration and application architecture.\n\n Microservices & Distributed Systems \n\n • Deep experience designing and implementing microservices architectures.\n, • Strong knowledge of Kafka, event-driven systems, messaging, and distributed computing.\n, • Understanding of scalability, resiliency, fault tolerance, and high-availability architecture.\n\n Cloud & DevOps \n\n • Experience with AWS, Azure, or GCP.\n, • Hands-on experience with Docker, Kubernetes, CI/CD, and cloud-native deployments.\n, • Familiarity with Terraform or other infrastructure-as-code tools is preferred.\n\n AI & Modern Engineering \n\n • Exposure to LLM integrations, generative AI, AI agents, and agentic workflows.\n, • Experience integrating AI capabilities into enterprise software is highly desirable.\n\n \n Required Consulting & Client Engagement Experience \n\n • Previous experience working for a technology consulting firm, systems integrator, or professional services organization is mandatory.\n, • Demonstrated experience delivering technology solutions for external enterprise clients.\n, • Ability to manage multiple technical stakeholders and work across different client environments.\n, • Strong executive communication and presentation skills.\n, • Ability to identify additional technology opportunities and contribute to account expansion.\n, • Comfortable operating in fast-paced consulting environments where priorities and client requirements can evolve.\n\n \n Qualifications \n\n • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.\n, • Significant professional software engineering experience, ideally 8+ years.\n, • Extensive hands-on Java and backend engineering experience.\n, • Proven experience building enterprise-grade microservices and distributed systems.\n, • Full-stack development experience with modern frontend frameworks.\n, • Previous consulting or professional services experience is mandatory.\n, • Experience working in financial services, banking, fintech, or other regulated industries is strongly preferred.\n\n \n What Success Looks Like \n\n • You can independently design, code, and deliver complex enterprise applications.\n, • You bring deep technical expertise in Java, backend engineering, full-stack development, and microservices.\n, • You can engage with client engineering teams and senior executives with equal confidence.\n, • You identify opportunities to solve broader client challenges beyond the immediate assignment.\n, • You help strengthen client relationships and contribute to expanding strategic accounts.\n, • You take ownership of solutions from initial discovery through architecture, implementation, and production deployment.\n\n \n Who Should Apply? \n We are looking for engineers who are not limited to writing code against predefined requirements. \n You should be someone who can understand a client's business, challenge existing technical approaches, design better architectures, build production-ready solutions, and work with stakeholders to identify the next opportunity. \n We want engineers who can build the technology, lead the technical conversation, and help grow the business. \n \n Compensation: $80-$95 /hr \n \n Additional Benefits: PTO & Health Insurance \n \n Our Hiring Process \n\n • 15-minute introductory call with Intellibus leadership\n, • Proctored GQ assessment + Slideware (presentation) evaluation\n, • Technical & Delivery Leadership Interview (30–45 min)\n, • Executive Interview\n, • Offer\n\n \n If you are interested in reaching out to us, please apply, and our team will contact you within the hour.

Solution Architect (Insurance - Group Benefits) Direct Hire Hybrid (NY/NJ/CT/PA) Seeking a Solution Architect to support a Group Benefits platform. This role is urgent and will prioritize candidates with recent, hands-on insurance domain experience and a proven track record architecting large-scale, business-critical systems in the insurance space—ideally tied to group benefits products and platforms.\n \n Work Location (Hybrid): 3 days/week onsite in New York, NY; Holmdel, NJ; Bethlehem, PA; or Stamford, CT\n \n Key Responsibilities \n\n • Own product/team-level solution architecture and delivery architecture for a value stream supporting a Group Benefits insurance platform.\n, • Drive architecture & technology alignment—ensuring solutions map to business capabilities, product priorities, and platform direction.\n, • Design and document end-to-end solution architectures including application, integration, data, and infrastructure components.\n, • Partner with Product Owners and Tech Leads to align roadmaps, MVP scope, sequencing, and technical tradeoffs.\n, • Apply and enforce architecture standards, security requirements, and approved design patterns.\n, • Collaborate with architecture and platform teams to reuse enterprise capabilities and reduce duplication.\n, • Identify, manage, and help remove technical dependencies/impediments impacting delivery timelines.\n, • Provide hands-on guidance to teams on design quality, code structure, and implementation approaches.\n, • Lead proofs-of-concept for new capabilities; influence technology strategy, standards, and solution direction.\n, • Mentor engineers on architecture principles, design decisions, and problem-solving methods.\n, • Continuously improve platform design by reducing technical debt and simplifying solutions for scalability and delivery speed.\n, • Be available as needed for major production incidents impacting business operations. \nRequired Qualifications \n\n • Insurance domain experience is mandatory. Preference for Group Benefits (e.g., Life, Disability, Absence Management, Supplemental Health) platforms. \n\n\n • Strong experience designing and delivering enterprise-scale solutions in complex environments.\n, • Demonstrated ability to architect systems that support high availability, resiliency, scalability, and operational excellence.\n, • Proven track record operating and evolving large-scale, business-critical systems within the insurance domain.\n, • \n Working knowledge of: \n \n • Cloud platforms and services (public cloud + on-prem / hybrid)\n, • APIs, integration patterns, and data integration\n, • Modern application architecture approaches (service-based architectures, event-driven patterns, etc.)\n \n, • Experience working within Agile / product-based delivery models.\n, • Ability to balance speed, quality, risk, and long-term sustainability in technical decisions.\n, • Strong communication skills—able to translate technical concepts for product, engineering, and business stakeholders.\n, • Experience producing product-level and team-level design documentation.\n, • Familiarity with GenAI frameworks/tools and best practices (nice-to-have but valued \nWork Authorization \n\n • Must be authorized to work in the United States. No sponsorship available. \nEstimated Min Rate: $126000.00\n Estimated Max Rate: $180000.00\n \n What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:\n \n \n\n • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)\n, • Health Savings Account (HSA) (for employees working 20+ hours per week)\n, • Life & Disability Insurance (for employees working 20+ hours per week)\n, • MetLife Voluntary Benefits\n, • Employee Assistance Program (EAP)\n, • 401K Retirement Savings Plan\n, • Direct Deposit & weekly epayroll\n, • Referral Bonus Programs\n, • Certification and training opportunities \nNote: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.\n \n \nYoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\n \n \nVisit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.\n \n \nFor California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.\n \n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.\n \n \nBy applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from an @yoh.com email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.

Machine Learning Engineer 4 - Finance Tech\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Finance Tech is responsible for transforming Capital One's financial engine into the most trusted, nimble, and insightful in the industry. Our core mission is to engineer outcomes that strategically enable the Finance organization and the broader Enterprise to remain efficient. This mission is driven by four technical and functional pillars: Forecasting & Resiliency, providing advanced decision support; Treasury & Trade managing sophisticated cash and investment lifecycles; and Accounting & Reporting, ensuring the integrity of our general ledger and regulatory commitments. Powering these pillars are our Data and Core capabilities, which manage the orchestration, sourcing, and pipelines for critical financial data products. \n \n By defining the next generation of financial technology, we ensure that every business process is backed by high fidelity tracking and reporting. Together, we are not just supporting the bottom line - we are building a strategic enabler that operates as a world class financial engine. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 3 (AI Foundations)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics\n, • Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments\n, • Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies\n, • Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets\n, • Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 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 1 year of experience developing AI and ML algorithms or technologies\n, • At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost)\n, • Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows\n, • Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n R1005255 AI Engineer 3 (AI Foundations) \n \n 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. \n McLean, VA: $161,800 - $184,600 for AI Engineer 3\n \n New York, NY: $176,500 - $201,400 for AI Engineer 3\n \n San Jose, CA: $176,500 - $201,400 for AI Engineer 3\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 5 (AI Foundations: Evaluation and Agentic Workflows)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • Behavioral Models\n \n, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)\n, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR \n, • Worked on scaling graph models to greater than 50m nodes \n, • Experience with large scale deep learning based recommender systems \n, • Experience with production real-time and streaming environments \n, • Contributions to common open source frameworks (pytorch-geometric, DGL) \n, • Proposed new methods for inference or representation learning on graphs or sequences \n, • Worked datasets with 100m+ users\n \n, • Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Import Specialist | CargoWise Experience Highly Preferred This Jobot Job is hosted by: Sam Fairhurst Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $60,000 - $80,000 per year A bit about us: Company Overview Our client is a leading global forwarder with their own global offices in over 40 countries. By combining experienced logistics professionals with innovative technology solutions, the organization delivers reliable, efficient, and customized supply chain services worldwide. The company specializes in a comprehensive range of logistics solutions, including domestic and international freight forwarding, truck and rail brokerage, customs services, warehousing, order fulfillment, and inventory management. With a customer-first approach and a culture built on collaboration, innovation, and problem-solving, the organization helps businesses navigate complex supply chains with speed, agility, and confidence. Backed by decades of industry expertise and a broad service network, the company is committed to delivering tailored solutions that drive customer success across industries and global markets. Why join us? Join a collaborative, fast-paced environment where problem-solving, innovation, and teamwork are valued. You’ll be part of a team that embraces challenges, celebrates success, and is committed to delivering exceptional service to customers worldwide. Benefits & Perks Comprehensive medical, dental, and vision coverage for employees and eligible dependents. Company-paid basic life insurance. Short-term and long-term disability coverage. Health Savings Account (HSA) with employer contributions. Flexible Spending Account (FSA) options. 401(k) retirement plan with a company match. Job Details Responsibilities Shipment Delivery on time per customer's request. Coordinate full-cycle of ocean and air import shipments from origin country to final destinations Prepare and review import documentation for Import customs clearance Ensure compliance with U.S. Customs and Border Protection (CBP), FMC, and other regulatory requirements Communicate effectively with carriers, customs brokers, overseas agents, and internal departments Track, trace, and monitor progress of shipments and deliveries to ensure timely processing Issue delivery orders and coordinate final-mile delivery with trucking companies Maintain accurate records and data entry in the internal system Qualifications Experience in ocean or air import operations or international freight forwarding preferred Excellent organizational and communication skills. Proficient in MS Excel, Word, PowerPoint and Outlook. Interested in hearing more? Easy Apply now by clicking the "Quick 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

Join a growing outpatient clinic in the Bronx delivering integrated care to underserved and vulnerable populations. Opportunity to make a direct impact while helping shape a program from the ground up. This Jobot Job is hosted by: Bri Dodson Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $220,000 - $275,000 per year A bit about us: We are a mission-driven healthcare organization focused on expanding access to high-quality, integrated care for underserved communities throughout New York. Our team believes healthcare should be compassionate, collaborative, and rooted in dignity for every patient served. This growing outpatient clinic in the Bronx provides whole-person care to vulnerable populations including individuals experiencing homelessness, behavioral health needs, and substance use disorders. Backed by an established nonprofit organization, the clinic offers the stability of an experienced healthcare system while maintaining the energy and influence of a growing program. Why join us? Salary range of $220,000 – $265,000 Opportunity to help build and shape a growing clinic from the ground up Mission-driven work serving underserved and vulnerable populations Collaborative interdisciplinary care environment Strong long-term leadership growth potential Stable nonprofit organization with startup-level influence Comprehensive benefits package 25 days PTO plus 11 paid holidays 401(k) with employer match Tuition assistance and wellness programs Integrated behavioral health and substance use support model High-impact role with visibility to executive leadership Job Details We are seeking a mission-driven Primary Care Physician to join a growing outpatient clinic in the Bronx serving underserved populations through an integrated, whole-person care model. This is an exciting opportunity for a physician who wants to do meaningful work while helping shape clinical workflows, care delivery, and patient outcomes within a developing community health program. While not a leadership role today, there is long-term potential for growth into Medical Director-level influence as the clinic expands. Responsibilities Provide comprehensive outpatient primary care services Deliver care to underserved and high-need patient populations Collaborate with behavioral health, substance use, and care management teams Participate in team-based care coordination and interdisciplinary discussions Support quality improvement initiatives and patient outcome goals Assist with refining clinical workflows and operational processes Ensure compliance with clinical standards and best practices Build strong therapeutic relationships with diverse patient populations Qualifications MD or DO required Active New York medical license or ability to obtain Board Certified or Board Eligible in Family Medicine or Internal Medicine Experience working with underserved or vulnerable populations preferred Community health, FQHC, or integrated care experience highly valued Collaborative and team-oriented mindset Passion for mission-driven healthcare and improving access to care For more information about this position, feel free to contact me directly. https://jobot.com/apply/primary-care-physician/10276297?utm_source=Monster 503-563-1383 Interested in hearing more? Easy Apply now by clicking the "Quick 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

West Village MRI Tech Position Monday-Friday This Jobot Job is hosted by: Lori Taggart Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $55 - $64 per hour A bit about us: Highly Rated Imaging Center!! Outpatient MRI Technologist needed Monday-Friday 8-5, no call, nights, or weekends! Job Responsibility 1. Performs thorough screening of patients prior to procedure. 2. Prepares patients for examination. 3. Performs MRI procedures to include: abdominal, thoracic, neurological exams, extremities, sub-periosteal implant planning, radiation therapy treatment planning, biopsies etc. 4. Administers intravenous (IV) and oral contrast agents as per Radiologist order: Why join us? We offer a great schedule for our MRI Technologists and require no call, nights, or weekends! We welcome new graduate ARRT - MR Techs to apply! Award Winning Team and Clinic!! Please contact https://jobot.com/apply/mri-tech/1824541135?utmsource=Monster or text/call 603-506-5278 to learn more! Job Details Job Qualification Graduate of an accredited Radiologic Technology program, required. New York State Department of Health licensure as a Radiologic Technologist with certification in IV contrast administration, required. American Registry of Radiologic Technologists (ARRT) registration, required. Magnetic Resonance Imaging R.T.(MR)(ARRT), required within eighteen (18) of entry date into position. Certified in Basic Life Support (BLS or BCLS), required. Prior radiology experience, required. Experience in MRI, preferred. Knowledge of MRI equipment and protocols, required. Shift Details: Shift times may vary, working days are Mon-Fri Please contact https://jobot.com/apply/mri-tech/1824541135?utmsource=Monster or text/call 603-506-5278 to learn more! Interested in hearing more? Easy Apply now by clicking the "Quick 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

Growing Firm! // No Billable Requirement! // Actual Room for Growth!! This Jobot Job is hosted by: Megan Bastian Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $250,000 per year A bit about us: Mid-sized, highly diversified law firm located in Midtown Manhattan is growing their Real Estate group! They are needing an attorney that has 3 + years of Commercial Real Estate Transactional experience. Having a background with purchase and sales agreements, financings, joint ventures and leasing is the background they are looking for! Why join us? 401(k) with $2,000 match plus employee profit sharing; All standard benefits offered; 4 days in office standard, 3 days in summer, fully remote during major holiday weeks; No formal billable hour requirement! Job Details Requirements: Licensed to practice law in New York 3 + years of Commercial Real Estate Transactions Experience with purchase and sales agreements, financing, joint ventures, and leasing. Interested in hearing more? Easy Apply now by clicking the "Quick 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

Top Tier Fully Integrated AEC Firm, Fantastic Growth Opportunities, Great Company Culture, Hybrid Work This Jobot Job is hosted by: Ross Theel Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $100,000 - $140,000 per year A bit about us: We are a $200M+ Fully Integrated AEC Firm experiencing tremendous growth. Our core values are centered around our people and our clients. Our continuous growth is fostered through prestigious team members and excellent project results. We are looking for motivated professionals who want to be a part of a top firm. If you are a Mechanical Project Engineer with 3+ years of experience and have a P.E. License then please apply today to be considered within 24 hours! Why join us? Do you want to work with top clients and be part of a top Firm? Competitive Base Salary Hybrid work arrangements Competitive Bonus Package Extremely Competitive Benefits Package Flexible Work Schedules Tuition reimbursement Job Details We are looking for a dedicated and enthusiastic Mechanical Project Engineer to join our growing team! This position offers the opportunity to work on a variety of challenging and innovative projects, utilizing your skills in Mechanical/HVAC Engineering, AutoCAD, Revit, and more. The successful candidate will have a strong understanding of building codes and will have had hands-on experience with MEP projects. As a key member of our team, you will play a pivotal role in the design and management of various projects, ensuring the highest levels of quality and efficiency. If you are a Licensed PE with a background in Mechanical/HVAC Engineering and a passion for sustainable projects, we would love to hear from you. Responsibilities: Lead the design and development of mechanical systems for construction projects, utilizing your expertise in AutoCAD and Revit. Ensure all designs and projects adhere to local building codes. Manage MEP projects from inception to completion, ensuring they are delivered on time and within budget. Collaborate with multidisciplinary teams to deliver integrated project outcomes. Utilize your HVAC Engineering skills to design efficient and effective heating, ventilation, and air conditioning systems. Contribute to the development of sustainable construction projects, demonstrating a commitment to environmental responsibility. Supervise and mentor junior engineers, fostering a culture of continuous learning and development. Actively participate in project meetings and reviews, providing expert advice and guidance where necessary. Continually monitor the latest industry trends and technologies, identifying opportunities for innovation and improvement. Qualifications: BS/MS in Mechanical Engineering required 2 + years of HVAC engineering experience Good working knowledge of IMC, IECC and NYC Building Codes Ability to perform Energy Modeling using TRACE, eQUEST or other programs a plus Good understanding of ASHRAE Standards, especially 55, 90.1 & 62.1 Experience in projects with sustainable solutions and LEED certifications a plus PE. license required Strong REVIT MEP skills a plus; AutoCAD skills required Strong communicator with the ability to interact with a variety of clients Interested in hearing more? Easy Apply now by clicking the "Quick 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

top full-service hospitality firm seeks an Entertainment Partner to join the team and help expand the practice and grow your client-base! This Jobot Job is hosted by: Monica Feltz Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $400,000 per year A bit about us: Top law firm for hospitality industry -- takes pride in being the best at what they do for the city and its vibrant life! Real estate, employment, franchising, licensing, and more. Already represent many clients who are on television, book deals, etc, and would be a natural expansion. Why join us? REMOTE/HYBRID Great benefits, originations, and focus on culture and true work-life balance! Ideal for someone who has their own shop, and ready to transfer to a firm and have more support on the back-end to grow their client-base. Boutique firm with top resources, longevity and connections Collaborative culture and friendly, progressive environment! Job Details Seeking a dynamic and experienced Entertainment Partner with a book of business who wants to bring their practice to a top NYC Hospitality law firm and help expand this area, while gaining access to a top client-base. Great opportunity for someone to grow their business and work in a collaborative environment with resources and bright, down-to-earth colleagues. Interested in hearing more? Easy Apply now by clicking the "Quick 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

Applied Researcher 5\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Francisco, CA: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

The Director of Revenue Cycle Management owns the full revenue cycle for a fast-growing personal emergency response system (PERS) business. Our billing is high-volume and recurring for a monthly service for a large, active member base billed to Medicaid, Managed Care Organizations (MCOs), and other payors. \n This leader sets the strategy and runs the daily operation for claims submission, denial and rejection resolution, cash posting, A/R and reporting. Success requires deep payor and Medicaid/MCO knowledge, strong command of HME/DME software, RCM workflows, and the ability to build a team and a set of controls that keep recurring claims clean at scale. \n \n Responsibilities \n \n Strategy & Leadership \n\n • Develop and execute the revenue cycle strategy for PERS recurring billing, aligned with corporate financial goals and growth plans.\n, • Lead, coach and hold accountable the RCM Team Leads and staff across billing, A/R, denials, cash posting and payor portal administration.\n, • Set clear production standards, quality targets and daily operating rhythms for a high-volume team.\n\n \n Recurring Claims and Operations \n\n • Own accurate, timely, on-schedule submission of recurring monthly claims (electronic, paper and portal-based), including rental and service cycle management in Brightree and Office Ally.\n, • Serve as the business owner of Brightree billing configuration: payor setup, billing rules, claim scrubbing edits, recurring-billing runs, ERA/835 auto-posting, reports and user roles. Partner with IT and Brightree on upgrades, enhancements and issue escalation.\n, • Manage clearinghouse relationships and claim-status tools, and drive automation to reduce manual touches per claim.\n\n \n Authorizations and eligibility \n\n • Oversee the authorization and reauthorization process so that recurring services stay covered without gaps, working with intake, operations and payor partners.\n, • Ensure eligibility verification and member-status changes are caught before they turn into denials or write-offs.\n\n \n Denials, rejections and A/R \n\n • Lead denial and rejection resolution: set strategy, ensure daily follow-up, and drive root-cause remediation back to the source (intake, documentation, authorization, billing setup).\n, • Monitor A/R aging, timely filing exposure, appeals and write-offs; run initiatives to reduce aging and improve cash flow.\n, • Track denial trends by payor, plan and denial code, and bring findings and fixes to payors and internal teams.\n\n \n Cash, reconciliation and reporting \n\n • Partner with the Controller and accounting team to reconcile payments and ensure accurate posting of all insurance, partner-pay, ERA/EOB, EFT and non-automated payments.\n, • Review and approve refund and overpayment requests, and ensure posting, deposits and remittances are complete, accurate and on time.\n, • Build and present the KPI package to leadership: clean claim rate, first-pass acceptance, days in A/R, collection rate, denial rate and cash forecast variance.\n\n \n Payors, compliance and process \n\n • Manage payor portal administration, including user access, credentials and compliance, and maintain payor relationships with Medicaid agencies, MCOs and Medicare Advantage plans.\n, • Ensure compliance with payor contracts, state Medicaid rules, HIPAA and applicable DME billing requirements; support audits and payor reviews.\n, • Drive continuous process improvement across billing, collections, denial management, reporting and automation.\n\n \n Qualifications \n \n\n • 7+ years of revenue cycle experience, including 3+ years leading a billing or collections team in a high-volume environment.\n, • Hands-on experience with Brightree (or a comparable DME/HME billing and rental system) and recurring or rental billing cycles.\n, • Deep knowledge of Medicaid reimbursement, state regulatory requirements, and MCO/SNP contract and billing rules.\n, • Working knowledge of ICD-10 and HCPCS coding and CMS-1500 professional claim submission.\n, • Demonstrated success reducing denials and rejections, shortening A/R days and improving clean claim rates.\n, • Experience with authorization and reauthorization workflows, ERA/835 posting and EFT reconciliation.\n, • Strong team management skills, including performance management, training and workflow oversight.\n, • Advanced Excel skills (VLOOKUP/XLOOKUP, pivot tables, SUMIF, macros) and comfort with BI and reporting tools.\n, • Experience applying automation and AI tools to revenue cycle work (for example claim-status automation, AI-assisted denial analysis, coding or documentation review, and workflow bots), with sound judgment on accuracy, human review and PHI/HIPAA safeguards.\n, • Ability to evaluate AI and automation opportunities, build the business case, pilot them with the team and measure results.\n, • Excellent analytical and problem-solving skills, with clear written and verbal communication.\n\n \n How Success is Measured \n\n • Clean claim rate and first-pass acceptance rate on recurring billing runs\n, • Days in A/R and percentage of A/R over 90 days\n, • Denial rate by payor, and time to resolve denials\n, • Net collection rate and cash versus forecast\n\n \n Compensation \n The anticipated base salary range for this position is $125,000-175,000, depending on experience, skills, and other job-related factors. This position is bonus eligible. \n \n We are committed to a diverse and inclusive workforce, one that reflects the varied communities we serve. The services we offer and the products we build greatly benefit from a range of perspectives, which can only come from diversity of all types at all levels of the organization. Achieving true diversity and inclusion is the right thing to do and is also the smart thing for our business. We strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply. \n We are an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. \n

AI Engineer 4\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Reputable, well established and growing Law Firm with tons of opportunity! We are currently seeking multiple Appeals Specialist or Coordinators. Direct Hire & Fully Remote!! This Jobot Job is hosted by: Ba Tran Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $65,000 - $75,000 per year A bit about us: We are growing exponentially and have been recognized as one of the top companies to work for within our industry! An accomplishment that we are very proud of and can attribute this to our exemplary employees and leadership team. With growth, comes opportunity to continue to really strengthen our infrastructure. We are hiring for several Legal Appeals Specialist and/or Coordinators across the nation. Feel free to apply and speak to us about what opportunities you could be a great match for! Why join us? Competitive Compensation and Benefits Package (M/D/V + 401K + Life Insurance) Bonus eligible position Stable career opportunity Join a well established team who is invested in your growth and success Substantial growth in their business Nationwide Rewarding work and responsibilities Fully Remote, open to PST, CST, and EST Work Hours Job Details We are seeking a detail-driven and experienced Legal Appeals Coordinator / Specialist to join our dynamic Legal Finance team. This critical role combines expertise in legal billing appeals, e-billing compliance, and rate administration. The ideal candidate will be responsible for managing the appeals process for billing rejections or reductions, ensuring accurate implementation of billing rates, and supporting the e-billing function across multiple client platforms. This is a unique opportunity to collaborate with legal professionals, billing teams, and clients, while playing a pivotal role in optimizing revenue recovery and maintaining billing compliance. Key Responsibilities Appeals Management Review and analyze rejected, reduced, or disputed invoice line items submitted through client e-billing platforms. Draft and submit appeal justifications, corrections, or supporting documentation in alignment with client-specific billing guidelines. Track the status of all appeals and follow up to ensure timely resolution and recovery. Collaborate with attorneys and billing teams to understand service context and strengthen appeal arguments. Rate & Compliance Oversight Maintain and update client-specific billing rates, discounts, and fee structures within billing systems. Work closely with client relationship managers and billing attorneys to review rate proposals, changes, and approvals. Ensure rates and timekeeper information are accurately reflected in e-billing platforms and internal systems. Monitor compliance with negotiated billing arrangements and client guidelines. E-Billing Support Serve as a key point of contact for e-billing submissions, ensuring invoices are submitted accurately and on time through platforms like Legal Tracker, CounselLink, Serengeti, and BillBlast. Troubleshoot submission errors, perform audits, and validate successful invoice transmission and acceptance. Assist in onboarding new clients or timekeepers into e-billing systems, including rate setup and mapping. Generate regular reports on invoice status, appeal outcomes, and performance metrics. Qualifications Bachelor's degree in Accounting, Finance, Legal Studies, or a related field preferred. Minimum of 3–5 years of experience in legal billing, appeals coordination, or e-billing administration. Strong knowledge of legal billing practices, rate structures, and client guidelines. Hands-on experience with major e-billing platforms (e.g., Legal Tracker, CounselLink, BillBlast, Aderant, Elite). Excellent attention to detail, organization, and time management. Strong written and verbal communication skills, with a customer service mindset. Ability to analyze data, identify trends, and present solutions proactively. Self-motivated with a collaborative attitude and a commitment to continuous improvement. Interested in hearing more? Easy Apply now by clicking the "Quick 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

Full time After Hours Hospice RN Supervisor with 15K Sign on Bonus, PENSION and 403B Retirement plan and 4 weeks vacation This Jobot Job is hosted by: Donna Gawroski-Kusik Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $125,000 - $133,000 per year A bit about us: A NYC Metro Healthcare organization with over 100+ years of success in the community offering several services including hospice and palliative care, rehabilitation, and skilled nursing Why join us? $15,000 Sign on Bonus (depending on position) 4 weeks Vacation 8 company paid holidays PENSION plan – Employer paid 100% at 5.75% of salary per year Employee Vesting at 5 year work anniversary 403B Retirement plan thru Lincoln Financial Medical, Dental and Vision coverage start 60 days after start date Medical Coverage thru CIGNA Dental Coverage thru choice of Cigna PPO plan or AETNA DMO plan Vision coverage thru United Healthcare FREE Online RN to BSN and MSN degree programs Dependent Tuition Reimbursement for clinical staff Annual Tuition reimbursement $4,500 529 College Savings plan LOW cost medical, dental and vision coverage for employee and family members Flexible spending Account Dependent Care FSA Employee Assistance Program (EAP) Life Insurance policy at 2X your annual salary paid by employer Short term and Long-Term disability thru Mass Mutual Commuter Benefits program for Transit and Parking Pet care discount 25% with participating Providers Job Details The After Hours Hospice RN Supervisor is responsible for the supervision of both the RNs (Triage & Field) and the CSRs who are emergently triaging the calls received from patients and/or caretakers for Hospice & Palliative Care program This working supervisory role provides supervision of the staff that patient physical and psychosocial health systems assessments telephonically, supporting the Hospice Plan of Care and “Goals of Care” based on the patient’s and caretaker’s needs/wishes, and facilitates coordination with plan developed/placed by the primary RN Case Manager for the patient. Provide clinical supervision and after-hours leadership for hospice patients, families, and field staff. Coordinate scheduled and unscheduled hospice visits and communicate critical clinical information to on-call clinicians. Triage complex patient and family calls involving pain, symptom management, medication changes, clinical deterioration, and goals of care. Collaborate with hospice physicians, social workers, pastoral care, managers, and interdisciplinary team members to coordinate patient-centered care. Maintain accurate clinical documentation of patient calls, assessments, interventions, and outcomes. Support staff with clinical guidance while promoting professional, respectful, and effective communication Interested in hearing more? Easy Apply now by clicking the "Quick 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

Full time Hospice On Call After Hours RN with 15K Sign on Bonus, PENSION, 4 weeks vacation, 401K Retirement plan, Low cost Medical, Dental and vision This Jobot Job is hosted by: Donna Gawroski-Kusik Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $108,000 - $117,000 per year A bit about us: A NYC Metro Healthcare organization with over 100+ years of success in the community offering several services including hospice and palliative care, rehabilitation, and skilled nursing Why join us? $15,000 Sign on Bonus (depending on position) 4 weeks Vacation 8 company paid holidays PENSION plan – Employer paid 100% at 5.75% of salary per year Employee Vesting at 5 year work anniversary 403B Retirement plan thru Lincoln Financial Medical, Dental and Vision coverage start 60 days after start date Medical Coverage thru CIGNA Dental Coverage thru choice of Cigna PPO plan or AETNA DMO plan Vision coverage thru United Healthcare FREE Online RN to BSN and MSN degree programs Dependent Tuition Reimbursement for clinical staff Annual Tuition reimbursement $4,500 529 College Savings plan LOW cost medical, dental and vision coverage for employee and family members Flexible spending Account Dependent Care FSA Employee Assistance Program (EAP) Life Insurance policy at 2X your annual salary paid by employer Short term and Long-Term disability thru Mass Mutual Commuter Benefits program for Transit and Parking Pet care discount 25% with participating Providers Job Details Responsible for providing on call patient visits scheduled, or unscheduled, for urgent physical and psycho-social issues during afterhours scheduled shift, in coordination with Call Center Triage and On Call Manager. Rotating Work hours include: 1 pm to 9 pm shift AND 5 pm to 1 AM shift Available via cell phone to respond to Triage visit requests, and communicates effectively with the on call team, including Hospice physician to address urgent patient needs, and establish a safe plan of care. Implements plan of care, educating patient/primary caregiver on changes to plan of care, including medication management, patient safety, and symptom management. Attends patient deaths as directed to provide emotional support and guidance to family. Reports off to triage and primary Hospice team concerning patient related visit, changes to plan of care, and follow up needs. Car Service is provided for Emergent patient visits Interested in hearing more? Easy Apply now by clicking the "Quick 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

Hospice Care Planner RN role offering 15K Sign on Bonus, PENSION & 403B Retirement plan, 4 weeks PTO This Jobot Job is hosted by: Donna Gawroski-Kusik Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $101,000 - $118,000 per year A bit about us: A NYC Metro Healthcare organization with over 100+ years of success in the community offering several services including hospice and palliative care, rehabilitation, and skilled nursing Why join us? $15,000 New Hire Bonus 4 weeks Vacation 8 company paid holidays PENSION plan – Employer paid 100% at 5.75% of salary per year Employee Vesting at 5 year work anniversary 403B Retirement plan thru Lincoln Financial Medical, Dental and Vision coverage start 60 days after start date Medical Coverage thru CIGNA Dental Coverage thru choice of Cigna PPO plan or AETNA DMO plan Vision coverage thru United Healthcare FREE Online RN to BSN and MSN degree programs Dependent Tuition Reimbursement for clinical staff Annual Tuition reimbursement $4,500 529 College Savings plan LOW cost medical, dental and vision coverage for employee and family members Flexible spending Account Dependent Care FSA Employee Assistance Program (EAP) Life Insurance policy at 2X your annual salary paid by employer Short term and Long-Term disability thru Mass Mutual Commuter Benefits program for Transit and Parking Pet care discount 25% with participating Providers Job Details Evaluates patients referred for Hospice and /or Palliative Care services. Manages and facilitates the transition of patients in hospice or palliative care in accordance with applicable law, regulations and agency policies and procedures. Provides clinical support, leadership and oversight for growth and development of community and facility based hospice programs within the Metropolitan Jewish Hospice. Duties include planning, delivering customer service, development for service area expansion, coordination of internal and external clinical marketing efforts, community outreach, education, and clinical service/support for hospice patient/family direct care. Responds to all requests and all referrals from Discharge Planners and assists with obtaining the Election of Benefits & admissions. Evaluates for Hospice Eligibility following the Hospice Conditions of Participation according to the state and federal regulations. Gathers all information required by the agency to initiate a referral and faxes the information to the hospice intake unit. Makes rounds on all units of the hospital on a minimum of daily and consistent basis. Provides physician, referral sources (including the discharge planners,) admissions department and the medical facilities with education regarding Hospice and Palliative care eligibility and end of life care Works in conjunction with discharge planning staff to identify problems that may impede the transition of the patient to hospice or palliative care and assist with resolution as needed. Communicates and interprets agency admission criteria, reimbursement criteria and policies to patient/significant other, members of the interdisciplinary health care team and other personnel as indicated. Responsible for the daily coordination of Hospice care on the Hospice Inpatient Unit (IPU). Qualifications: A minimum of two years’ experience in either Medical-Surgical or, Community Health. Hospice or Oncology nursing preferred. Interested in hearing more? Easy Apply now by clicking the "Quick 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

Job Description Harlem Children’s Zone (HCZ) — a world-renowned education and poverty-fighting organization based in New York — seeks an enthusiastic, dedicated, and mission aligned Sports & Recreation Specialist to support our K-12 programming. The Sports & Recreation Specialist will bring a passion for the mission of Harlem Children’s Zone: break the cycle of intergenerational poverty with comprehensive, on-the-ground programming that builds up opportunities for children and families to thrive in school, work, and life. The Sports & Recreation Specialist will join our team that is designed to instill a culture of healthy living throughout the Zone but is more expansive and strategically focused on the way we reach youth in our programs, their parents and caregivers, and the community at large. The ideal candidate will be a dynamic, energetic part-time sports and recreation specialist that will facilitate daily physical activity for students and be dedicated to implementing Healthy Harlem programming at respective sites and report to the health coordinator. For more information, check out Want to Work at Harlem Children’s Zone? Here’s 7 Things You Need to Know. Requirements • High School Diploma or GED, • Experience implementing physical/movement activities in school-based, after-school, camp, and/or community-based settings., • Comfortable working in various urban settings and with diverse populations Who you are • Team-oriented with strong organizational and collaborative skills, • Animated, energetic spirit and a positive, resilient attitude, • Adapts well to changes in assignment and priorities with the ability to respond effectively to new information, changing conditions, and unexpected obstacles, • Must be able to sit or stand for long periods of time. What you’ll do • Organize and lead daily physical activity for students, • Promote physical literacy; the motivation, confidence, physical competence, knowledge, and understanding to value and take responsibility for engagement in physical movement activities for life, • Incorporate sports, games, and a variety of other unique and exciting activities in a positive, fun environment, • Adapt activities to creatively engage children with various skill sets and interests, • Implement physical activities in a variety of settings, including small classrooms, cafeteria, and gymnasium, • Provide clear classroom instructions, including learning objectives and transitions, • Provide consistent motivation, enthusiasm, and role modeling for healthy lifestyle choices, • Gather height and weight measurements and facilitate PACER fitness test Schedule Fall & Spring: • Monday–Friday, between 2:00 PM and 8:00 PM (exact hours determined by site location)., • Summer: Monday–Friday, between 7:00 AM and 6:00 PM (exact hours determined by program needs). Commitment Requirements: • After-school programming: Minimum of 20 hours per week, with at least 4 hours per day., • Summer programming: Expect to work 40 hours per week., • Please note that the schedule is fixed, and consistent attendance is required. You must be available to work five days per week, and we are unable to offer scheduling accommodations. Full availability during the assigned hours is essential for this role. Benefits As a member of the Harlem Children's Zone team, you will join a supportive and inclusive community dedicated to helping children, families — and our staff — thrive. Please take a look at our Part-Time benefits below. Our exceptional Part-Time benefits include: • Career advancement, • Paid sick leave, • Employee referral bonus, • Physical wellness discounts, • Commuter benefits, • Additional Benefits (Discounts on flights, hotels, theme parks, concert tickets, and more.) The hourly rate for this position is $25-$30 per hour. To be considered, interested applicants should apply directly through the posting. No telephone inquiries or recruiters, please. Replies will only be sent to qualified applicants. Harlem Children's Zone and Promise Academy Charter Schools do not provide work visas for candidates who require employer sponsorship to ensure work authorization in the United States. Harlem Children’s Zone is an EOE.

Job Description Harlem Children’s Zone (HCZ), a world-renowned education and poverty-fighting organization based in New York, seeks an enthusiastic, dedicated, and mission-aligned Program Coordinator to support our After-School Programs. The Program Coordinator will bring a passion for the mission of Harlem Children’s Zone: breaking the cycle of intergenerational poverty through comprehensive, on-the-ground programming that creates opportunities for children and families to thrive in school, work, and life. The Program Coordinator will join a team that provides academic support, leadership development, and high school and college preparation opportunities for youth across HCZ’s After-School Programs. The ideal candidate will provide effective leadership and support key programmatic functions including operational planning, resource management, staff development, curriculum implementation, and cross-site collaboration. The Program Coordinator serves as an integral member of the management team and reports to the Director and Assistant Director. For more information, check out Want to Work at Harlem Children’s Zone? Here’s 7 Things You Need to Know. Requirements • Bachelor's degree preferred in Education, Youth Development, Human Services, Social Work, Recreation, Nonprofit Management, or a related field, • Equivalent combinations of education, training, and relevant professional experience will be considered, • 2+ years of experience working directly with youth in an after-school, education, youth development, nonprofit, recreation, or community-based setting, • Experience coordinating programs, activities, events, or services that support youth development and participant engagement, • Experience supervising, coaching, or supporting staff, interns, volunteers, or program participants, • Demonstrated ability to build positive relationships with youth, families, school personnel, and community partners, • Strong organizational, communication, and problem-solving skills, • Experience using data, documentation, or reporting tools to track participation, monitor outcomes, and support program improvement preferred, • Ability to work a flexible schedule, including after-school hours, based on program need Who You Are • Passionate about the mission of Harlem Children's Zone and committed to creating positive outcomes for youth and families, • A relationship-builder who can establish trust and effectively engage students, families, staff, school partners, and community stakeholders, • A strong people leader who can motivate, coach, and develop staff while fostering a positive and accountable team culture, • Student-centered and committed to creating safe, engaging, and inclusive environments where young people can thrive, • Highly organized with the ability to manage multiple priorities, navigate competing demands, and maintain attention to detail, • A proactive problem-solver who can think critically, make sound decisions, and respond effectively to operational and programmatic challenges, • Skilled at using data and program insights to monitor progress, inform decisions, and support continuous improvement, • Strong written and verbal communicator with the ability to adapt communication styles to diverse audiences, • Collaborative and able to work effectively across teams, departments, and program sites, • Adaptable, resourceful, and comfortable working in a fast-paced, mission-driven environment, • Energetic, motivated self-starter who leads with professionalism, initiative, and accountability What You'll Do • Support the day-to-day operations of the after-school program to ensure a safe, engaging, and high-quality experience for participants, • Supervise, coach, and develop frontline staff, providing ongoing feedback, training, and support to promote strong program outcomes, • Monitor student attendance, participation, and engagement, implementing strategies to improve retention and overall program success, • Foster positive relationships with students, families, school personnel, and community partners to support participant growth and achievement, • Assist in the development and implementation of curriculum, enrichment activities, and programming that align with organizational goals and participant needs, • Utilize data and program metrics to monitor performance, identify trends, and support continuous improvement efforts, • Coordinate program events, meetings, and activities that enhance the overall participant and family experience, • Ensure compliance with HCZ, funder, and program policies, procedures, and safety standards, • Collaborate with site leadership and cross-functional teams to strengthen program quality and achieve established goals, • Prepare reports, maintain accurate records, and perform other duties as assigned Schedule • This role requires an 8-hour shift Monday through Friday, scheduled between 9:00 a.m. and 8:00 p.m. Final hours will be based on program assignment and operational needs of the after-school site/program., • Summer Schedule: To support summer camp operations, employees work an 8-hour shift within a schedule that may range from 7:00 a.m. to 6:00 p.m. Summer hours are determined by the site and program assignment you support during the school year. Benefits As a member of the Harlem Children's Zone team, you will join a supportive and inclusive community dedicated to helping children, families — and our staff — thrive. We offer highly competitive salaries, a comprehensive benefits package, and opportunities for growth. Our exceptional full-time benefits include: • Highly competitive base salaries, • Paid time off, • Employee referral bonus, • Career advancement, • No-cost health insurance, • Life Insurance, • Short-and long-term disability, • Additional voluntary benefits, • Wellness discounts, • Commuter benefits, • Financial wellness perks, • Additional Benefits (Discounts on flights, hotels, theme parks, concert tickets, and more.) The salary range for this position is $55,000-$60,000 per year. To be considered, interested applicants should apply directly through the posting. No telephone inquiries or recruiters, please. Replies will only be sent to qualified applicants. Harlem Children's Zone and Promise Academy Charter Schools will not provide work visas for candidates who require employer sponsorship to ensure work authorization in the United States. Harlem Children’s Zone is an EOE.

Job DescriptionPosition Title: Youth Development Specialist Reports To: SBYSP Manager Broad Function: To foster social development through facilitation of recreation and psycho-educational groups. CORE VALUES: 1. Demonstrates cultural competence through an awareness of and sensitivity towards Agency’s clients’ and coworkers’ cultural and socioeconomic characteristics i.e. is flexible in presentation of profession self, has the ability to “connect” with diverse populations, and has the skills to integrate culture throughout the clinical process with respect to race, color, creed, religion, gender, ethnicity, language, sexual orientation, age, appearance, mental and/or physical capability, etc. (Culture is defined as membership in a group which shares values, experiences and beliefs.), 2. Is committed to the value of a nurturing family as the ideal environment for a child and believes in the capacity of people to grow and change., 3. Works from a strengths-based perspective., 4. Understands and works well with other service systems (i.e.; child protective, juvenile justice, division on aging, probation and parole), maximizes resources to assist client., 5. Recognizes that consumers come first and responds to consumers appropriately., 6. Knows and adheres to all FC Policies and Procedures, participates in either the QI Committee or a Subcommittee and/or keeps abreast of and adheres to QI policies and procedures. PROFESSIONALISM: 1. Values and participates in the Team as a proactive member., 2. Respects others’ professional opinions and tolerates a range of feelings., 3. Able to give and receive constructive criticism., 4. Willing to take on extra work when needed (i.e. when there is a vacancy)., 5. Performs required tasks according to the program philosophy, policies and procedures., 6. Is courteous, approachable, and cooperative towards others and conducts self in a mature, competent, confident, and respectful manner., 7. Understands and adheres to confidentiality rights of clients, co-workers and agency, consistent with HIPAA (Health Insurance Portability and Accountability Act), and protects personal health information in written, verbal and electronic forms., 8. Practices self- care, has a sense of humor, and possess a healthy work/ life balance important to providing great customer service., 9. Ensures the safety & comfort of others by communicating the presence of hazards, injuries, equipment problems or any need for help and knows the emergency evacuation and all other safety policies (universal precautions, etc.)., 10. In times of crisis is willing to help others, and communicates urgent information quickly to supervisor / Team., 11. Maintains good attendance (i.e. Maintains FT or PT schedule as contracted, and attendance does not impair or negatively affect the team.), 12. Is punctual for client appointments, meetings, etc., 13. Meets program productivity requirements., 14. Uses good judgment, practices ethical decision-making, and explores all options in problem solving. SUPERVISION: 1. Attends supervision consistently and comes prepared., 2. Documents supervision., 3. Able to receive feedback and to learn from it., 4. Has insight about self (i.e. strengths and weaknesses) and utilizes that knowledge toward growth and change. Youth Development Specialist responsibilities include: 1. Supervise and coordinate recreational programming and field trips., 2. Build and maintain rapport; interacting with students during appropriate times to facilitate social skill development, and advocating for students, as needed., 3. Facilitate prevention and psycho-educational groups., 4. Insure documentation and data input into Management Information System is completed in timely fashion., 5. Provide case management to students as necessary., 6. Monitor students’ academic and behavioral progress., 7. Assist in the development and marketing of programs in the school environment and community., 8. Discuss all suspected cases of abuse and neglect with Manager/Coordinator and report to DCP&P., 9. Perform other duties as deemed necessary by the Manager/Coordinator of SBYSP. SPECIFICATIONS: Education/Certification: Minimum High School diploma, 3 years experience as a youth service worker; Bachelor’s Degree in human services field preferred. Experience: Proven ability to work with adolescents in an urban setting. Knowledge: Knowledge of adolescent development, knowledge of community resources, knowledge of group process, Skills and Abilities: Ability to create a warm, non-threatening therapeutic atmosphere, ability to provide non-judgmental responses, ability to counsel adolescents, ability to work as a member of a team, ability to advocate for students with school personnel, ability to work with individuals from diverse backgrounds. Professional Characteristics: Open, warm, empathic, attentive listener, self-aware, ethical, creative, organized, flexible, open to criticism, patient, responsible, able to work independently, mature, self-motivated, dedicated, enthusiastic, will to take on additional tasks and responsibilities, interested in seeking additional training and skills. Salary : $22.00 an hour Location: The Map Program | Irvington High School | 1253 Clinton Ave Irvington, NJ, 07111 Vacation & Benefits: • Vacation: As a full-time employee working generally 35 hours per week, you will be eligible to participate in the Family Connections group benefit plans. Benefits include medical, dental, life insurance, long term disability, retirement plans, and additional supplementary benefits. Yes, you can elect to not enroll into these benefits. You will also be eligible to accrue vacation, personal, and sick days in addition to 12 paid holidays, and summer wellness Fridays., • Benefits also include professional development assistance, referral program, internal/external trainings, Capella University partnership, 403b retirement plan with employer matching (3% max) (you can enroll in your 403b without a waiting period) , employer-paid life insurance, employer paid Long-term Disability (LTD) insurance, employer paid Accidental Death & Dismemberment (AD&D) insurance, etc. Family Connections is an Equal Employment Opportunity Employer committed to excellence. Employment offers are made on the basis of qualifications and without regard to race, sex, religion, national or ethnic origin, disability, age veteran status, or sexual orientation or other protected classes under the State and Federal law. Family Connections participates in E-Verify and will provide the federal government with information from each new employee’s Form I-9 to confirm authorization to work in the United States. Candidates must be authorized to work in the United States and eligible for full‑time employment on a W‑2 basis. This role must be performed in a manner that is fully compliant with all applicable federal, state, and local employment laws, including those of the State of New Jersey. C2C, 1099, or other non‑W‑2 arrangements are not eligible for consideration. Powered by JazzHR Lt6m1dGx1i

Job DescriptionPosition Title: Therapeutic Visitation Specialist Reports to: Supervising Therapeutic Visitation Specialist Broad Function: Provide therapeutic visitation services. II: PROFESSIONALISM: 1. Values and participates in the Team as a proactive member., 2. Respects others’ professional opinions and tolerates a range of feelings., 3. Able to give and receive constructive criticism., 4. Willing to take on extra work as needed (i.e. when there is a vacancy). III: SUPERVISION: • Attends supervision consistently and comes prepared., • Able to receive feedback and learn from it., • Has insight about self (i.e., strengths and weaknesses) and utilizes that knowledge towards growth and change.IV: DIRECT SERVICE, • Attends all necessary trainings in compliance with the SVS model., • Schedules and conducts visits in the least-restrictive, most home-like location (the first preference being within the family's home) while ensuring the safety of the children., • Initiates and maintains ongoing communication with families that is culturally sensitive, utilizing family’s preferred language considering a family’s faith and culture., • Ensures the environment for parent-child contact is safe, non-traumatizing, and promotes healthy attachment., • Uses strengths-based, solutions-focused, family centered, trauma informed strategies to elicit family input., • Advocates for parents/families as necessary and supports them in advocating for themselves., • Uses a process to gather information which includes reviewing collateral information and inquiring about family's natural supports., • Completes required assessment tools including but not limited to bio-psychosocial assessments, Rose Wentz Matrix and SVS Caregiver Surveys., • Documents contacts with families in agency's progress notes and DCP&P contact sheets., • Creates a visitation plan with active familial involvement and updates the plan at regular intervals., • Facilitates visit planning meetings and participates in other relevant meetings., • Initiates and maintains ongoing communication with DCP&P, other providers, and supports., • Links the family to community resources, formal and informal supports, and coordinates with DCP&P., • Collaborates with and shares relevant information with DCP&P staff, other providers, and supports., • Provides therapeutic support and modeling around appropriate and nurturing parenting., • Uses clinical interventions and trauma informed approaches to promote behavioral change in caregivers and children through education, modeling, reinforcement, and empowerment., • Interventions may include but are not limited to: Elements of family counseling, play therapy, art therapy, and/or individual therapy; focused on improving parenting skills, attunement, and communication within the family., • Intervening in the event of a safety issue., • Incorporating trauma informed care to all facets of treatment., • Creates an environment that empowers family members, including parents, children, and caregivers to communicate their goals and needs., • Utilizes various interviewing and/or communication techniques in a culturally competent manner., • Recognizes non-verbal communication and maintains good eye contact and posture., • Enhances parental skills by goal setting, modeling, mentoring, reinforcement, feedback and reflection through a trauma-informed perspective., • Prepares for each visit with caregivers reviewing goals and expectations and encouraging them to be the lead in visit planning., • Debriefs with caregivers after each visit to allow for processing and self-reflection and discussion of strengths and challenges., • Provides in-home aftercare services in the event of reunification of families., • Provides transportation for parents and/or children to and from visitation location., • Engages in case presentations and completes timely documentation., • Prepares case presentations and engages in case discussions/consultations., • Maintains electronic health record and completes all internal and external documentation needs in accordance with program guidelines., • Perform other duties as assigned.SPECIFICATIONS:, • Education & Experience: Candidates must possess a master’s degree in social work or related field (e.g. counseling) and a valid professional license: (LPC, LCSW LAC, LSW, CSW). Must possess a driver's license valid in New Jersey with safe driving record. Minimum of one (1) year of work experience with children and families, particularly families involved with the child welfare system and/or affected by trauma. Experience working with diverse populations., • Knowledge: Knowledge of the child welfare system, community resources, social services, and mental health systems. Knowledge of appropriate therapeutic interventions in crisis and non-crisis situations. Knowledge of infant, child and adolescent stages of growth and development. Knowledge of trauma and its effect on children and families. Knowledge of county’s local and highway roads., • Skills and Abilities: Excellent time management skills. Organizational skills with the ability to manage numerous visiting families and systems of care simultaneously to promote best practices. Outstanding human relations skills and the ability to function autonomously and in a team environment. Effective oral and written communication skills. Effectively solve problems and communicate information, including the identification and communication of problems and/or issues with appropriate team and management staff. Ability to utilize therapeutic approaches with children and families. Model, coach, support, and mentor parents on use of nurturing and safe parenting. Ability to deliver and score assessment tools. Excellent computer skills with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, PowerPoint and/or electronic health record systems. Safely operate a motor vehicle abiding by all applicable traffic laws. Ensure safety of all passengers through appropriate safety measures including use of seat belts, car and booster seats and/or child safety locks., • Professional Characteristics: Open, warm, empathic, attentive listener, self-aware, ethical, creative, organized, flexible, open to constructive feedback, patient, responsible, able to work independently, mature, self-motivated, dedicated, enthusiastic, willing to take on additional tasks and responsibilities, interested in seeking additional training and skills. Experience/willingness to work with culturally diverse populations.Salary Range : $68,000 Vacation & Benefits: • Vacation: As a full-time employee working generally 35 hours per week, you will be eligible to participate in the Family Connections group benefit plans. Benefits include medical, dental, life insurance, long term disability, retirement plans, and additional supplementary benefits. Yes, you can elect to not enroll into these benefits. You will also be eligible to accrue vacation, personal, and sick days in addition to 12 paid holidays, and summer wellness Fridays., • Benefits also include professional development assistance, referral program, internal/external trainings, Capella University partnership, 403b retirement plan with employer matching (3% max) (you can enroll in your 403b without a waiting period) , employer-paid life insurance, employer paid Long-term Disability (LTD) insurance, employer paid Accidental Death & Dismemberment (AD&D) insurance, etc., • Work Environment/Physical Demands: The individual must possess the ability to perform work that requires frequent standing, bending, reaching, squatting, kneeling, moving, and lifting of up to or in excess of 50 pounds. A flexible working schedule with 5 days per week evening availability. Some working time is spent out of the office transporting children and/or parents to and from visits and observing visits in families’ homes or in the community (parks, libraries, restaurants, jails, etc.). Family Connections is an Equal Employment Opportunity Employer committed to excellence. Employment offers are made on the basis of qualifications and without regard to race, sex, religion, national or ethnic origin, disability, age veteran status, or sexual orientation or other protected classes under the State and Federal law. Family Connections participates in E-Verify and will provide the federal government with information from each new employee’s Form I-9 to confirm authorization to work in the United States. Candidates must be authorized to work in the United States and eligible for full‑time employment on a W‑2 basis. This role must be performed in a manner that is fully compliant with all applicable federal, state, and local employment laws, including those of the State of New Jersey. C2C, 1099, or other non‑W‑2 arrangements are not eligible for consideration. Powered by JazzHR eL3HjCQDa9

Job DescriptionThe Manager, Utilization Management (UM) is responsible for providing strategic leadership and operational oversight for both inpatient and outpatient utilization management clinical teams, including prior authorization, concurrent review, and care coordination functions. This role is accountable for driving clinical quality outcomes, reducing medical loss ratio (MLR), decreasing avoidable admissions and readmissions, and aligning utilization management activities with organizational quality metrics and regulatory requirements. The Manager ensures appropriate utilization of healthcare services across the continuum of care, with a strong focus on proactive discharge planning, high risk population management, and interdisciplinary collaboration. This position partners closely with Case Management, High Risk Care Management, Pharmacy, Medical Directors, and Clinical Operations to develop clinical solutions that optimize patient outcomes while maintaining cost effective care delivery. This role also participates in a rotational management on call program, providing leadership support during after hours and weekend periods as needed. Essential Position Functions/Responsibilities: • Provide strategic and operational leadership for inpatient and outpatient utilization management teams, • Oversee Prior Authorization, Concurrent Review, and Inpatient Utilization functions, • Manage clinical staff across UM teams, • Establish departmental goals aligned with organizational strategic objectives, • Promote a culture of accountability, collaboration, and continuous improvement, • Ensure staff adherence to policies, procedures, and regulatory requirements, • Conduct performance evaluations, coaching, and professional development planning, • Maintain appropriate staffing models to support operational efficiency and service levels, • Monitor and analyze utilization data to identify trends, opportunities, and performance gaps, • Drive initiatives to reduce admissions, readmissions, and unnecessary utilization, • Implement strategies to reduce medical loss ratio (MLR) while maintaining quality outcomes, • Ensure alignment with clinical quality metrics and population health initiatives, • Oversee appropriate application of clinical criteria including MCG and payer guidelines, • Audit utilization decisions for clinical appropriateness and compliance, • Evaluate and improve workflows to enhance operational efficiency, • Monitor turnaround time, productivity, and key performance indicators, • Lead development and monitoring of utilization management programs, • Partner with Director of Pharmacy to develop clinical solutions and optimize medication utilization, • Collaborate with High Risk Care Management team to address complex populations, • Work closely with Medical Directors to support clinical decision making, • Coordinate and develop with Case Management leadership and Social Work Team alignment of organizational and departmental goals that full align with the SVP of Clinical Services, • Collaborate with Quality, Pharmacy, and Appeals teams, • Participate in Utilization Management Committee, • Ensure compliance with CMS, NCQA, State, Federal, and Department of Labor requirements, • Maintain regulatory readiness and audit preparedness, • Lead internal audits and quality improvement initiatives, • Develop and maintain policies, procedures, and standard operating procedures, • Participate in external and internal audits as subject matter expert, • Develop and monitor departmental KPIs, • Prepare weekly and monthly utilization reports, • Analyze utilization trends and financial impact, • Provide leadership reporting and recommendations, • Monitor turnaround times and productivity metrics, • Provide day to day operational oversight for inpatient and outpatient teams, • Monitor staffing productivity and workflow efficiency, • Implement process improvements and operational initiatives, • Support implementation of new programs and technologies, • Participate in strategic planning initiatives, • Participate in rotational management on call schedule, • Provide leadership coverage during evenings, weekends, and holidays, • Support escalation management and operational decision making Qualification Requirements: Skills, Knowledge, Abilities • Strong knowledge of Utilization Management principles, • Knowledge of MCG, CMS, NCQA, and regulatory requirements, • Understanding of Medicare, Medicaid, and Commercial payer guidelines, • Experience with care coordination and transitions of care, • Strong analytical and problem solving skills, • Excellent communication and leadership skills, • Ability to manage multiple priorities in a fast paced environment, • Strong organizational and time management skills, • Ability to lead change and drive performance improvement, • Experience with quality improvement initiatives, • Ability to build collaborative relationships across departments Training/Education: • Bachelor of Science in Nursing (BSN) required, • Master's degree in Nursing, Healthcare Administration, or related field preferred, • Active, unrestricted Registered Nurse (RN) license required Experience: • Minimum five (5) years of clinical experience required, • Minimum three (3) years of leadership or supervisory experience required, • Utilization Management experience in Managed Care required, • Inpatient Utilization Management experience preferred, • Prior Authorization experience preferred, • Experience managing interdisciplinary teams preferred

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Machine Learning Engineer 4 - Manager IC\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One—ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging.\n, • 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization.\n, • 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus).\n, • 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n 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. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n 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. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4 (AI Foundations: Recommendation Systems)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 4 (Gen AI Platform Services)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Premier, full-service hospitality firm seeks a Corporate/Transactional Attorney to join their Hotel Group! This Jobot Job is hosted by: Monica Feltz Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $170,000 - $250,000 per year A bit about us: Premier law firm for the hospitality industry -- takes pride in being the best at what they do for the city and its vibrant life! Real estate, employment, franchising, licensing, and more. The firm represents first time entrepreneurs, multi-unit operators, hotel F&B management groups, general managers, chefs, developers and all other industry folks. Why join us? Great benefits, 401K, and focus on culture and true work-life balance! Flexible work-from-home / HYBRID schedule Fantastic Attorneys to collaborate with and top support staff and resources Expanding boutiquey firm with top resources, longevity and great connections/networking opportunities Collaborative culture and friendly, progressive environment Job Details Seeking a talented mid-to-senior level transactional attorney to join the newly established Hotel Practice Group. The group is led by a seasoned hospitality executive and former Chief Executive Officer / General Counsel with 25+ years of hotel business and legal leadership, including an extensive track record of guiding iconic, cult-favorite boutique hotel brands, luxury properties, and premier restaurant concepts. This unique role offers a high-performing attorney the chance to serve as the Practice Group Leader’s "right hand" in building and expanding the practice from the ground up, supporting a growing roster of boutique hotel, lifestyle hospitality, and restaurant clients. What the Role Offers: Direct Leadership Training: Work side-by-side with a former hotel C-suite executive on every matter, gaining business insights behind the legal documentation alongside direct client exposure and continuous feedback. Ground-Floor Practice Building: Help establish practice group infrastructure, precedent forms, articles, presentations, and long-term business development initiatives. High-Level Exposure: Gain direct access to the owners, operators, developers, and brands shaping the lifestyle and boutique hospitality sector. Key Responsibilities: Hospitality Agreements: Draft, review, and negotiate Hotel Management Agreements (HMAs), Technical Services Agreements (TSAs), and Design Development Agreements. Operational & Ancillary Contracts: Negotiate letters of intent (LOIs), term sheets, SNDAs, license agreements, restaurant operating agreements, and independent contractor agreements. Acquisitions & Dispositions: Handle buy-side and sell-side hotel transactions, including LOIs, purchase and sale agreements (PSAs), due diligence, title/survey reviews, and closings. Joint Ventures & Capital Structures: Draft and negotiate joint venture and partnership agreements (including GP/LP and sliver equity structures) tailored for developers and sponsors. Real Estate Support: Assist the firm’s broader Real Estate Group on hospitality leasing, purchase, and sale matters as needed. Client Counseling: Communicate directly with clients to provide clear, business-friendly legal advice and practical risk assessments. Qualifications & Core Requirements: Admitted to practice law in the State of New York (and based in or near the NY area). Please have 5+ years of dedicated hotel transactional experience backed by strong foundational real estate or corporate transactional experience. Deep understanding of market standards for hospitality agreements, business terms, and deal structures (in-house counsel experience is a plus, though not required). Superior drafting skills with the ability to convey complex legal details Exceptional project management and multitasking abilities in a deadline-driven environment. Resourceful, reliable, detail-oriented, and adaptable, with a strong ability to give and receive constructive feedback. Skilled in Microsoft Office Suite, Google Workspace, Adobe Acrobat, and legal management/timekeeping platforms (e.g., Clio). Industry Passion: A genuine passion for hotels, dining, and the broader hospitality industry. Interested in hearing more? Easy Apply now by clicking the "Quick 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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B. Braun Medical, Inc.\n \n \n Company: B. BRAUN MEDICAL (US) INC\n Job Posting Location: Brooklyn, New York, United States, Hartford, Connecticut, United States, Long Island, New York, United States, Manhattan, New York, United States\n Functional Area: Sales\n Working Model: Remote\n Days of Work: Friday, Thursday, Wednesday, Tuesday, Monday\n Shift: 5X8\n Relocation Available: No\n Requisition ID: 14720\n \n \n B. Braun Medical Inc., a leader in infusion therapy and pain management, develops, manufactures, and markets innovative medical products and services to the healthcare industry. Other key product areas include nutrition, pharmacy admixture and compounding, ostomy and wound care, and dialysis. The company is committed to eliminating preventable treatment errors and enhancing patient, clinician and environmental safety. B. Braun Medical is headquartered in Bethlehem, Pa., and is part of the B. Braun Group of Companies in the U.S., which includes B. Braun Interventional Systems, Aesculap® and CAPS®. \n Globally, the B. Braun Group of Companies employs more than 64,000 employees in 64 countries. Guided by its Sharing Expertise® philosophy, B. Braun continuously exchanges knowledge with customers, partners and clinicians to address the critical issues of improving care and lowering costs. To learn more about B. Braun Medical, visit www.bbraunusa.com \n \n \n Position Summary: The ideal candidate will be based in or near Manhattan, Brooklyn, Long Island, NY, or Hartford, CT. \n \n\n The Clinical Success Director serves as a strategic clinical leader and partner to the Director of Health Care Systems, driving customer value through strong executive relationships, clinical expertise, and data-driven strategy. This role ensures long-term customer success by aligning clinical initiatives with business objectives and advancing innovative solutions across health systems.\n\n \n Responsibilities: Essential Duties \n\n • Strategically partners with the Director of Health Care Systems to build strong customer clinical relationships, demonstrate and create value with customer executive stakeholders and ensures long term success.\n, • Participates with internal multidisciplinary teams to improve the operational effectiveness of our Clinical Services Team.\n, • Leads and participates in the creation of new clinical value materials to help improve the performance of our team and customer satisfaction.\n, • Develops and fosters positive working relationships with key customers in an effort to support networking, presentations, publications and sharing of B. Braun success stories.\n, • Continuously innovates on customer support based on internal and external feedback.\n, • Develops clinical strategic plans, analyzes data and trends to set, modify and execute on strategies\n, • Gains input and trend information from major clinical groups through direct contact with such groups, organizations and other vendors.\n, • Remains current with market trend information and competitive landscape.\n, • Leads annual strategic corporate account clinical reviews to discuss, SWOT and business plan 1 year and 3 years out.\n, • Demonstrates fiscal responsibility with allocated budgets and resources.\n, • Gains input and trend information from major clinical groups through direct contact with such groups, organizations and other vendors. .\n, • Maintain key relationships with internal B. Braun departments (i.e., Sales, Marketing, Technical Services, Customer Service, etc.)\n\n The job function listed is not exhaustive and shall also include any responsibilities as assigned by the Supervisor from time to time. \n \n Limit of Authorization/Authority: \n Please refer to the Corporate Guidelines or BBMUS Guidelines or job specific authorities where applicable. This list is however not exhaustive and may be amended by the Management from time to time. \n \n Expertise: Qualifications -Education/Experience/Training/Etc \n \n Required: \n\n • \n \n Bachelor’s degree.\n \n, • \n \n Active Registered Nurse (RN) license.\n \n, • \n \n 12+ years of clinical or healthcare industry experience.\n \n, • 6+ years of people management experience.\n, • \n \n Advanced knowledge of clinical practices and healthcare systems.\n \n, • Proven ability to present at an executive level, including publications, podium presentations, or similar.\n, • \n \n Proven ability to influence decision-making and solve complex problems.\n \n, • \n \n Strong analytical, communication, and relationship-building skills.\n \n, • \n \n Willingness to travel frequently.\n \n, • \n \n Valid driver’s license and passport.\n \n, • \n \n Flexibility to work non-standard hours as business needs require.\n \n\n Preferred: \n\n • Master's degree preferred.\n, • Relevant clinical or industry certifications.\n\n \n Additional Information: \n\n • Works independently with general direction and uses sound judgment to achieve goals.\n, • May mentor or provide guidance to peers and support team development.\n, • Regular collaboration with internal teams and external customers, vendors, and professional organizations is expected.\n, • Additional duties may be assigned as needed.\n, • Responsible for maintaining a safe and compliant work environment.\n, • Regular and predictable attendance\n\n \n Physical Demands: \n While performing the duties of this job, the employee is expected to: \n\n • Light work - Exerting up to 20 lbs of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects.\n\n Lifting, Carrying, Pushing, Pulling and Reaching: \n\n • Occasionally:Reaching upward and downward, Push/pull, Stand\n, • Frequently:Sit\n, • Constantly:N/A\n\n Activities: \n\n • Occasionally:Climbing stairs/ladders, Push/pull, Reaching upward and downward, Standing, Walking\n, • Frequently:Finger feeling, Hearing - ordinary, fine distinction, loud (hearing protection required), Seeing - depth perception, color vision, field of vision/peripheral, Sitting , Talking - ordinary, loud/quick\n, • Constantly:N/A\n\n Environmental Conditions: \n\n • Occasionally:N/A\n, • Frequently:N/A\n, • Constantly:N/A\n\n Work Environment: \n \n The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. \n\n • Noise Intensity:Moderate\n, • Occasionally:Other\n, • Frequently:N/A\n, • Constantly:Office environment\n\n \n Salary Range: $170,000-$185,000 \n \n \n The targeted range for this role takes into account a range of factors that are considered when making compensation and hiring decisions; included but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Compensation decisions are dependent on the facts and circumstances of each case. The range provided is a reasonable estimate. \n It is an essential function of this position for an employee to be present and in-person at the physical site(s) of our customers and potential customers. Many of our customers and potential customers are in clinical settings, including, but not limited to, hospitals, clinics, and other health care clinics (hereinafter, “Healthcare Customers”). Many of our Healthcare Customers require outside vendors like us to present proof that they have certain requisite vaccinations and immunizations, including, but not limited to, vaccinations against COVID-19 and seasonal influenza, before being granted entry into the Healthcare Customers’ clinical settings. To gain access to our Healthcare Customers clinical settings, field sales, field service, and other customer facing professionals are required to register with the vendor credentialing organization associated with the Healthcare Customers, complete the Healthcare Customers’ required process, and undergo a series of clearances. Vendor credentialing clearances include, but are not limited to, a national criminal background check, drug screening, and immunizations as determined by the vendors, which may include, but are not limited to, Influenza, Hepatitis B Virus, and COVID-19. You must fully comply with the requirements of the Healthcare Customers in your region, including any necessary proof of any vaccination. As such, all individuals in this position assigned to a Healthcare Customer with a COVID-19, Influenza, Hepatitis B Virus, or other vaccination requirement must be fully vaccinated and/or immunized in accordance with the Healthcare Customers’ requirements. B. Braun Medical North America Companies complies with the Americans with Disabilities Act (ADA) and applicable laws, and on receipt of an accommodation request will engage in the interactive process to assess possible reasonable accommodation options, if any, consistent with the ADA and applicable law. \n B. Braun offers an excellent benefits package, which includes healthcare, a 401(k) plan, and tuition reimbursement. To learn more about B. Braun and our safety healthcare products or view a listing of our employment opportunities, please visit us on the internet at www.bbraunusa.com. \n Through its “Sharing Expertise®” initiative, B. Braun promotes best practices for continuous improvement of healthcare products and services. \n We are an equal opportunity employer. We evaluate applications without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected characteristic. Know Your Rights: Workplace Discrimination is Illegal, click here. \n \n \nAll qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.\n \n \n Compensation details: 170000-185000 Yearly Salary \n \n \n \n \n PI4e19809351c6-25405-42004589

Fully Remote Legal Accounts Payable Specialist | Growing Reputable Law Firm | 70-80K DOE + Incredible Benefits! This Jobot Job is hosted by: Howard Santos Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $70,000 - $80,000 per year A bit about us: We are seeking an experienced Senior Accounts Payable Specialist to support a high-volume AP function within a fast-paced professional services environment. This position will take ownership of complex accounts payable activities, including invoice processing, payment execution, vendor account reconciliation, discrepancy resolution, and maintaining accurate financial records. MUST HAVE LAW FIRM or LEGAL SERVICES INDUSTRY EXPERIENCE The ideal candidate brings strong AP fundamentals, excellent attention to detail, and the ability to independently manage priorities while contributing to an established, collaborative accounting team. Why join us? Join a stable, established organization with a collaborative and supportive accounting team Step into a senior-level AP role with greater ownership and exposure beyond invoice processing Gain hands-on experience with vendor reconciliations, month-end close, accruals, and process improvements Work alongside experienced Accounting and AP leadership with opportunities to continue developing your skill set Become a trusted resource on a high performing AP team known for strong tenure and low turnover Build valuable experience within the legal/professional services industry Job Details Key Responsibilities Manage high-volume, full-cycle accounts payable, including processing 20–50+ invoices and payment requests per day Review invoices and supporting documentation for accuracy, proper coding, approvals, and compliance with established procedures Prepare and process vendor payments, check requests, and other AP transactions Research and resolve invoice discrepancies, payment issues, duplicate invoices, and vendor inquiries Perform vendor account reconciliations and assist with resolving outstanding balances Maintain accurate AP records and supporting documentation to ensure a clean audit trail Assist with month-end close activities, including AP reconciliations, accrual support, and outstanding invoice review Partner with Accounting, Finance, and internal departments to address AP-related issues and maintain timely processing Identify opportunities to strengthen controls, streamline processes, and improve AP efficiency Serve as an experienced resource to other AP team members and provide support on more complex transactions as needed Qualifications 3+ years of progressive Accounts Payable experience, within a law firm or in the legal services industry Strong understanding of full-cycle AP processes, invoice coding, payment processing, vendor reconciliations, and discrepancy resolution Legal or professional services industry experience preferred Experience working with carrier invoices and/or billing guidelines is a plus Strong Microsoft Excel skills, including Pivot Tables and VLOOKUP/XLOOKUP; exposure to macros is a plus Experience with Aderant preferred but not required Highly detail-oriented with strong organizational, analytical, and problem-solving skills Ability to independently manage a high transaction volume while consistently meeting deadlines Interested in hearing more? Easy Apply now by clicking the "Quick 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

Defense Litigation Attorney | $150k-$200k | Remote/Hybrid in NYC, Long Island, and White Plains This Jobot Job is hosted by: Andrew Harrison Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: Premier litigation firm representing municipalities and public entities across the New York metropolitan area. We are seeking experienced Municipal Defense Litigation Attorneys to join our growing team. The ideal candidate will have a strong background defending municipal corporations in a wide range of civil claims, including general negligence, civil rights litigation, and employment-related matters. For over 70 years, our firm has stood as one of New York City's most respected insurance defense law firms. We have a long-standing reputation for excellence, built on our successful representation of clients across virtually every type of negligence and tort claim. With a collaborative environment, a commitment to litigation excellence, and a client-first philosophy, we take pride in our role as a trusted partner to the insurance industry. Why join us? Base Salary: $150k - $200k commensurate w/ experience Annual EOY Performance Bonus Comprehensive Benefits: Medical, Dental, Vision, Life Insurance, Matching 401(k), PTO Location: Hybrid & Remote Flexibility – No in-office requirement, only required in-person for court appearances Supportive, collaborative team with deep insurance coverage experience Job Details Job Details: We are currently seeking Defense Attorneys with experience representing clients in general liability claims involving premises, roadway, and transportation-related incidents (including vehicles such as buses, police cars, fire trucks, and ambulances). Also seeking attorneys experienced representing municipalities in employment defense litigation, including claims involving sexual harassment, discrimination, and retaliation under Title VII, ADEA, and the ADA Qualifications: Education: Juris Doctor (JD) from an accredited law school. Licensure: Admission to the New York State Bar 2+ years of experience in municipal law, government defense, or related insurance defense litigation Additional Relevant Experience: general liability, medical malpractice, slip and fall, premises liability, labor law, MVA, and construction defect. Strong litigation background, including motion practice, depositions, hearings, and trial preparation Application Process: Interested candidates should apply and submit their resume to https://jobot.com/apply/municipal-defense-litigation-attorney/420746138?utm_source=Monster We look forward to hearing from you! Interested in hearing more? Easy Apply now by clicking the "Quick 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

Full time Hospice RN Team Leader role with $15,000 Sign on Bonus and PENSION This Jobot Job is hosted by: Donna Gawroski-Kusik Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $125,000 - $130,000 per year A bit about us: A NYC Metro Healthcare organization with over 100+ years of success in the community offering several services including hospice and palliative care, rehabilitation, and skilled nursing Why join us? $9,000 to $15,000 Sign on Bonus (depending on position) 4 weeks Vacation 8 company paid holidays PENSION plan – Employer paid 100% at 5.75% of salary per year Employee Vesting at 5 year work anniversary 403B Retirement plan thru Lincoln Financial Medical, Dental and Vision coverage start 60 days after start date Medical Coverage thru CIGNA Dental Coverage thru choice of Cigna PPO plan or AETNA DMO plan Vision coverage thru United Healthcare FREE Online RN to BSN and MSN degree programs Dependent Tuition Reimbursement for clinical staff Annual Tuition reimbursement $4,500 529 College Savings plan LOW cost medical, dental and vision coverage for employee and family members Flexible spending Account Dependent Care FSA Employee Assistance Program (EAP) Life Insurance policy at 2X your annual salary paid by employer Short term and Long-Term disability thru Mass Mutual Commuter Benefits program for Transit and Parking Pet care discount 25% with participating Providers Job Details Hospice RN Team Leader Supports the Hospice Nurse Manager position by providing leadership guidance to the professional staff on a day-to-day basis to ensure the provision of Hospice and Palliative Care services are consistent with the philosophy, goals, and policies of the program and company. Mentors and provides leadership direction to the professional staff as directed by the Hospice Nurse Manager. The schedule includes functioning in a backup On Call capacity 2-3 times per month and 2-3 holidays per year. Salary range 106 to 125K (DOE) A combination of Field and Office in the Bronx right near Montefiore Medical Center Interested in hearing more? Easy Apply now by clicking the "Quick 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

NOT Public Accounting, Growing midsize private Real Estate services company! This Jobot Job is hosted by: Albert Simons Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $120,000 - $130,000 per year A bit about us: We're a rapidly growing, technology driven accounting and advisory firm focused exclusively on the real estate industry, serving a variety of commercial real estate clients who want more than a traditional back-office provider. Instead of separating bookkeeping, tax, and advisory into separate workstreams, we've built an integrated, tech-enabled model that automates the repetitive operational work so clients get accurate, scalable financial support without the cost of building an internal finance team. We currently support a portfolio of commercial properties spanning tens of millions of square feet, with a team of accounting and advisory professionals numbering in the low hundreds, working alongside some of the country's most active real estate investment firms. Our mission is simple: eliminate the financial and operational bottlenecks that cap growth for real estate businesses, combining deep industry knowledge with smart technology so clients can scale faster than they could on their own. Why join us? Rapid growth with future advancement opportunities Strong remote work culture Great benefits Competitive compensation and perks for all employees Tech-infused workflow Job Details Seeking a Real Estate Tax Manager to service as main point of contact for assigned clients. You will support complex real estate partnership tax engagements in a client facing environment. You will own partnership tax compliance for a wide portfolio of clients specific to real estate. Qualifications: 5+ years of tax prep experience for real estate clients Experience with Section 754 elections and the resulting inside/outside basis adjustments Comfortable managing fixed asset ledgers, depreciation calculations, and capitalization decisions Solid grasp of partnership allocation methodology, including special allocations and distribution waterfalls Familiarity with step-up transactions and the mechanics of purchase price allocation Experience preparing and reviewing Schedule K-1s Preferred: CPA or EA (in process or licensed) Interested in hearing more? Easy Apply now by clicking the "Quick 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

Full time Hospice / Palliative Care Physician Assistant role offering 15K Sign on Bonus, PENSION & 403B Retirement plan, 4 weeks PTO This Jobot Job is hosted by: Donna Gawroski-Kusik Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $125,000 - $145,000 per year A bit about us: A NYC Metro Healthcare organization with over 100+ years of success in the community offering several services including hospice and palliative care, rehabilitation, and skilled nursing Why join us? $15,000 New Hire Bonus 4 weeks’ Vacation 8 company paid holidays PENSION plan – Employer paid 100% at 5.75% of salary per year Employee Vesting at 5-year work anniversary 403B Retirement plan thru Lincoln Financial Medical, Dental and Vision coverage start 60 days after starting date Medical Coverage thru CIGNA Dental Coverage thru choice of Cigna PPO plan or AETNA DMO plan Vision coverage thru United Healthcare FREE Online RN to BSN and MSN degree programs Dependent Tuition Reimbursement for clinical staff Annual Tuition reimbursement $4,500 529 College Savings plan LOW cost medical, dental & vision coverage for employees & family Flexible spending Account Dependent Care FSA Employee Assistance Program (EAP) Life Insurance policy at 2X your annual salary paid by employer Short term and Long-Term disability thru Mass Mutual Commuter Benefits program for Transit and Parking Pet care discount 25% with participating Providers Job Details Responsibilities: The Physician Assistant Provider will work in a culturally diverse environment with patients and families of any background and will be collaborating with Physicians, Nurse Practitioners, and IDT in providing palliative care consults with patients regarding pain and symptom management, advance care planning, and hospice eligibility evaluations. Initial patient encounters are performed in response to consultation requests, with ongoing visits as appropriate and Provider must be proficient in comprehensive assessment and management in advanced illness and be knowledgeable in hospice eligibility criteria and recertification processes. The Physician Assistant will work in various settings, including hospitals, skilled nursing facilities, and the community, covering (2) Boroughs: Northern Brooklyn, and the Lower Half of Manhattan. PA – C will deliver patient-centered, goal-directed care for individuals with serious illness. The PA will self-schedule all patient visits and will independently conduct comprehensive patient assessments, treatment planning, and follow-up care, ensuring care plans minimize illness burden and align with patients’ goals and values. The role includes participating in on-call rotation, documentation, interdisciplinary collaboration, education, and quality improvement initiatives to support high-quality palliative care delivery. Qualifications: Active Physician Assistant license in New York State in good standing with NO restrictions Master of Science in Physician Assistant Studies from an accredited program required. Minimum 1–2 years clinical experience as a licensed Physician Assistant preferred, with a focus in palliative care, hospice, geriatrics, or related fields. Experience in skilled nursing facilities or community-based care is preferred. Current DEA registration allowing prescription of controlled substances. Certificate of Added Qualifications (CAQ) in Hospice and Palliative Medicine preferred. Proficiency in Microsoft Word, Excel, and electronic health records (EHR).. CPR/BLS required. Valid New York State driver’s license preferred. Interested in hearing more? Easy Apply now by clicking the "Quick 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

Lead electronic security projects in Manhattan with a growing systems integration team. This Jobot Job is hosted by: Travis Bergwall Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $98,056 - $156,869 per year A bit about us: We are a systems integrator delivering electronic security and building technology projects for customers across New York. Why join us? Salary of $98,056-$156,869; medical, dental and vision coverage; 401(k) match; paid time off; tuition reimbursement; and vehicle reimbursement or a company vehicle. Job Details Plan and direct electronic security projects, including engineering, installation, startup, schedules, budgets, and cost control. Serve as the customer interface and maintain safety, quality, and customer satisfaction. Requirements: College degree, trade school, or equivalent experience; 7-10 years of relevant engineering, field service, or project management experience, including 5 years supervising teams. Strong technical project management, mentoring, financial analysis, Microsoft Project/Office, troubleshooting, and basic IT networking skills. Electronic security, fire alarm/life safety, or building automation experience preferred. Interested in hearing more? Easy Apply now by clicking the "Quick 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

Midsize real estate firm in NYC! This Jobot Job is hosted by: Mallory Schreiner Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $180,000 - $250,000 per year A bit about us: Based in Manhattan we are an award-winning Lawfirm specializing in Real Estate Law across New York and the USA. Why join us? Competitive Base Salary! Competitive Bonus Package! The Most Comprehensive Benefits Package in the USA! Job Details Job Details: We are seeking an experienced and highly skilled Permanent Real Estate Litigation Attorney specializing in Landlord/Tenant disputes. The successful candidate will be joining our dynamic and fast-paced team in the Legal industry. This role will involve dealing with a variety of real estate matters, with a particular focus on landlord and tenant disputes, housing court proceedings, supreme court cases, NYC housing, and condominium issues. The ideal candidate will have a strong background in this area, with a minimum of 5 years of relevant experience. Responsibilities: Represent clients in court or before government agencies, present and summarize cases to judges and juries. Advise clients concerning business transactions, claim liability, advisability of prosecuting or defending lawsuits, or legal rights and obligations. Interpret laws, rulings and regulations for individuals and businesses. Present evidence to defend clients or prosecute defendants in criminal or civil litigation. Negotiate settlements of civil disputes. Confer with colleagues with specialties in appropriate areas of legal issue to establish and verify bases for legal proceedings. Perform administrative and management functions related to the practice of law. Act as agent, trustee, guardian, or executor for businesses or individuals. Prepare legal briefs and opinions, and file appeals in state and federal courts of appeal. Arbitrate disputes between parties and assist in the real estate closing process. Qualifications: Juris Doctor degree from an accredited law school. Admitted to practice in the State Bar. Minimum of 5 years of experience as a real estate litigation attorney, with a focus on landlord and tenant disputes. Proven track record of representing clients in housing and supreme court. Extensive knowledge and understanding of NYC housing and condominium laws. Excellent negotiation, research, and communication skills. Ability to interpret and apply laws, court decisions, and other legal authorities. Strong analytical and problem-solving skills. Ability to manage multiple tasks and meet deadlines. Proficient in legal research software and Microsoft Office Suite. High level of professionalism and confidentiality. Ability to work independently and as part of a team. If you are a driven, dedicated, and goal-oriented individual with the necessary experience and skills, we encourage you to apply for this exciting opportunity. Interested in hearing more? Easy Apply now by clicking the "Quick 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

Hospice Care Planner RN ONSITE at Maimonidies Medical Center role offering 15K Sign on Bonus, PENSION & 403B Retirement plan, 4 weeks PTO This Jobot Job is hosted by: Donna Gawroski-Kusik Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $115,000 - $131,500 per year A bit about us: A NYC Metro Healthcare organization with over 100+ years of success in the community offering several services including hospice and palliative care, rehabilitation, and skilled nursing Why join us? $15,000 New Hire Bonus 4 weeks Vacation 8 company paid holidays PENSION plan – Employer paid 100% at 5.75% of salary per year Employee Vesting at 5 year work anniversary 403B Retirement plan thru Lincoln Financial Medical, Dental and Vision coverage start 60 days after start date Medical Coverage thru CIGNA Dental Coverage thru choice of Cigna PPO plan or AETNA DMO plan Vision coverage thru United Healthcare FREE Online RN to BSN and MSN degree programs Dependent Tuition Reimbursement for clinical staff Annual Tuition reimbursement $4,500 529 College Savings plan LOW cost medical, dental and vision coverage for employee and family members Flexible spending Account Dependent Care FSA Employee Assistance Program (EAP) Life Insurance policy at 2X your annual salary paid by employer Short term and Long-Term disability thru Mass Mutual Commuter Benefits program for Transit and Parking Pet care discount 25% with participating Providers Job Details Evaluates patients referred for Hospice and /or Palliative Care services. Manages and facilitates the transition of patients in hospice or palliative care in accordance with applicable law, regulations and agency policies and procedures. Provides clinical support, leadership and oversight for growth and development of community and facility based hospice programs within the Metropolitan Jewish Hospice. Duties include planning, delivering customer service, development for service area expansion, coordination of internal and external clinical marketing efforts, community outreach, education, and clinical service/support for hospice patient/family direct care. Responds to all requests and all referrals from Discharge Planners and assists with obtaining the Election of Benefits & admissions. Evaluates for Hospice Eligibility following the Hospice Conditions of Participation according to the state and federal regulations. Gathers all information required by the agency to initiate a referral and faxes the information to the hospice intake unit. Makes rounds on all units of the hospital on a minimum of daily and consistent basis. Provides physician, referral sources (including the discharge planners,) admissions department and the medical facilities with education regarding Hospice and Palliative care eligibility and end of life care Works in conjunction with discharge planning staff to identify problems that may impede the transition of the patient to hospice or palliative care and assist with resolution as needed. Communicates and interprets agency admission criteria, reimbursement criteria and policies to patient/significant other, members of the interdisciplinary health care team and other personnel as indicated. Responsible for the daily coordination of Hospice care on the Hospice Inpatient Unit (IPU). Qualifications: A minimum of two years’ experience in either Medical-Surgical or, Community Health. Hospice or Oncology nursing preferred. Interested in hearing more? Easy Apply now by clicking the "Quick 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

A growing, national law firm is seeking a dynamic legal billing professional This Jobot Job is hosted by: Lauren Spann Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $80,000 - $100,000 per year A bit about us: A growing, national law firm with a strong presence on the East Coast and Southern US Why join us? Competitive compensation & Benefits Hybrid work schedule following training - work/life balance Outstanding company culture built on collaboration, inclusion, communication and support Experienced leadership team that promotes professional development and career growth Job Details Jobot is partnering with a growing, national law firm to staff a position as a Legal Billing Coordinator. The Legal Billing Coordinator will be responsible for the following: Prepare and edit client invoices in accordance with firm policies and client guidelines. Proficient in E-billing procedures. Review and verify accuracy of billing data, ensuring all billable time and expenses are accounted for. Coordinate with attorneys, paralegals, and other staff to resolve billing discrepancies and issues. Respond to client inquiries regarding billing and payment status. Process write-offs following Firm policy. Ability to execute complex bills in a timely manner (i.e., multiple discounts by matter, split-party billing, preparation of electronic bills). Ability to handle a high volume of bills per month. Ability to effectively interact and communicate with attorneys, assistants, and clients. Review and verify accuracy of billing and supporting documentation as required. Create new billing formats as needed. Assist with the preparation of monthly and quarterly billing reports for management review. Required Skills: 3 or more years hands-on billing experience in a law firm. Elite 3E, Aderant (or equivalent accounting software) experience. Demonstrated proficiency with MS Office. Ability to multi-task and prioritize. Ability to organize work flow and use time efficiently. Ability to show strong attention to detail. Ability to perform at high levels in a fast paced ever-changing work environment and successfully adapt to changing priorities and work demands. Ability to anticipate work needs and follow through with minimum direction, follow up on own initiative. Flexibility to adapt to all situations and work varied hours; possibly work weekends or evenings. Interested in hearing more? Easy Apply now by clicking the "Quick 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

Hybrid Matrimonial Attorney - Build a Long‑Term Law Practice at a Best‑in‑Class Firm This Jobot Job is hosted by: Jacob Vane Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $250,000 - $325,000 per year A bit about us: Based in New York City with a presence across the region, we are a top‑tier family and matrimonial law firm known for handling high‑stakes, financially complex matters for discerning private clients. Our practice is focused exclusively on family law, allowing our attorneys to develop deep subject‑matter expertise and deliver thoughtful, strategic representation in some of the most sensitive situations our clients will ever face. Our attorneys are trusted advisors on matters involving high‑net‑worth divorces, complex financial structures, custody disputes, and negotiated resolutions, and our work is regularly recognized within the legal community and beyond. The firm has built a strong reputation not only for results, but for the way we practice—collaborative when possible, formidable when necessary, and always client‑focused. If you are an experienced Matrimonial and Family Law Attorney looking to work on impactful matters at a firm that values both excellence and balance, we encourage you to apply! Why join us? Why join us? Do you want to work with some of the nation’s best Clients AND enjoy time at home w/ family? We do too! Meaningful Work! Best in Class Firm! Competitive Compensation Package! Complete Benefits Package! Flexible Work Schedules! Accelerated Career Growth! Fun Company Activities! Many More! Job Details Job Details Is your background a fit? Apply if you meet this criterion: J.D. from an accredited law school and admission to practice in New York (or ability to obtain admission) 5+ years of Family / Matrimonial Law experience Experience handling complex divorce matters, including high‑net‑worth and financially sophisticated cases Strong litigation, negotiation, and client‑facing skills in sensitive family law matters Help us continue to set the standard for how elite law firms treat both their clients and their attorneys. Join us and enjoy accelerated career growth with exceptional work‑life balance at a premium, best‑in‑class organization. Interested in hearing more? Easy Apply now by clicking the "Quick 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

Job Description Beware of Recruitment Fraud: We are committed to protecting job seekers from recruitment fraud. Please be aware that all official communication regarding opportunities with our firm will come exclusively from an email address ending in @RoseNYC.com. We will never request payment, financial information, or sensitive personal documentation during the application process, and we will never extend a job offer without first conducting a formal in-person interview. If you receive a message that appears suspicious or does not originate from this domain, please mark it as spam or phishing and report it to us directly at recruiting@rosenyc.com. Overview Rose Associates is a recognized market leader in multifamily and mixed-use real estate. Based in New York City, we own, develop and operate leading properties in urban markets from Philadelphia to Boston and across all residential asset classes, including market, regulated, workforce and affordable housing. Our dynamic services platform spans development, construction, property and asset management, leasing, marketing and accounting/financial operations. We partner with private owners and institutional investors globally to develop and operate some of the most iconic assets in our markets. We rely on technology and the deep expertise of our team to consistently outperform the market in the operation of more than 30,000 units across some 250 properties in the most challenging housing markets in the country. For the past three years, Rose has been the top-rated manager for resident satisfaction in the United States on the Kingsley Surveys platform (peer group of firms with 10-30,000 units being surveyed). Established in 1925, Rose Associates possesses a century of real estate expertise and an impeccable reputation for excellence and integrity. Today a woman-owned business led by CEO Amy Rose, we are committed to a corporate culture of belonging and inclusion that is widely admired in the industry. As we expand across the Northeast, Rose is providing opportunity for our team members to grow their careers in an environment of respect and support. Join us on the forefront of innovation and growth – Rose Associates is where excitement meets opportunity! We are seeking a highly motivated and customer-focused Residential Property Handyperson to join our vibrant team and contribute to the overall maintenance, satisfaction and well-being of our residents. The ideal candidate will be proficient in a variety of repair and maintenance tasks, contributing to the overall well-being of the property and ensuring a safe and comfortable environment for residents. Essential Functions • Perform routine maintenance and repairs on residential units, including plumbing, electrical, HVAC, appliance repair, and carpentry tasks., • Address minor HVAC issues, Inspect, troubleshoot, and repair household appliances to ensure functionality and safety and collaborate with specialized technicians for major repairs. Coordinate with vendors for appliance replacements when necessary., • Paint and complete drywall repairs to maintain a fresh and appealing appearance throughout the property., • Repair and replace flooring materials as needed, ensuring a safe and aesthetically pleasing environment., • Perform routine maintenance on units in preparation of apartment turns, and maintain maintenance shop, including related inventory of supplies., • Conduct regular safety inspections, identifying and addressing potential hazards promptly., • Be available for on-call duties and respond to emergency maintenance requests outside regular working hours., • Comply with workplace safety and OSHA regulations., • Must be present on-site and be able to move throughout the building to address building related matters and meet with tenants, staff, vendors and visitors., • Ability to ascend and descend stairs, as well as positioning oneself in small spaces for building inspections and maintenance repairs and lifting and moving large or heavy objects in excess of 50 pounds., • Must be comfortable with exposure to varying environmental climates and circumstances., • Ability to perform the essential duties and responsibilities of the position in residential environments where domestic pets are routinely present. Employees are required to work in common areas, lobby areas, building offices, amenity spaces, and occupied residential apartments where pets may be present while carrying out the responsibilities of their position. Depending on the role, these responsibilities can include responding to resident requests and work orders; providing concierge and resident services; entering apartments; conducting inspections; performing maintenance, repairs, and other handyperson duties; managing building operations; supervising or coordinating building staff, vendors, and contractors; responding to emergencies; and performing other resident management and property-related responsibilities. The ability to perform the essential functions of the position in areas where domestic pets are present, including occupied residential apartments, is an essential requirement of employment for positions requiring such work., • Position may be required to perform duties outside their normal responsibilities as needed. Qualifications • High School diploma or equivalent and / or previous experience in a handyman capacity is preferred., • Knowledge of safety protocols, building codes and utilization of related machinery and tools is required., • Strong problem-solving skills and attention to detail., • Currently possesses EPA 608 Universal technical certification, S12, S13, S95, P99 or capable of obtaining the required certifications., • Proficient in computer operations, particularly skilled in using Microsoft Office and Yardi software., • Work authorization (required)Hourly rate: $33.6508 Powered by JazzHR pZT7IcwHsF

Job Description BMW-Certified Service Technician SIGN-ON BONUS BMW of Long Island City | Long Island City, NY Diagnose. Repair. Deliver Quality. BMW of Long Island City is seeking experienced, BMW-certified Service Technicians to join our team. This opportunity is specifically for technicians with prior BMW dealership experience and current BMW certification at the Associate (B) level or higher. You will use BMW diagnostic technology, technical information, and repair expertise to diagnose concerns, perform repairs, and maintain vehicles to BMW factory standards. If you take pride in fixing vehicles right the first time, stay current with BMW technology, and value being part of a strong service team, we would like to hear from you. Compensation and Benefits • BMW High-Voltage and Master Technicians: 50–60+ per flat-rate hour, • BMW Associate (B) Level Technicians: $45+ per flat-rate hour, • Sign-on Bonus, • Relocation Assistance, • Compensation based on BMW certification level, experience, and technical expertise, • BMW technical training and continuing education, • Medical, dental, and vision insurance, • 401(k) or retirement benefits, • Paid time off, • Career growth and advancement opportunities Schedule • 7:00 a.m.–4:00 p.m. or 8:00 a.m.–5:00 p.m., • Approximately two Saturdays per month, • Additional hours may be required based on business needs What You’ll Do • Complete repair orders as assigned., • Diagnose vehicle concerns and determine the appropriate repairs., • Perform advanced drivability, electrical, and computerized diagnostics using BMW technology., • Repair and maintain engines, brakes, steering, suspension, electrical systems, air-conditioning systems, and other mechanical and electronic components., • Inspect vehicles for additional maintenance or repair needs and communicate findings to the Service Advisor., • Provide accurate labor, time, and parts estimates., • Follow BMW repair instructions, technical bulletins, warranty requirements, and dealership procedures., • Perform quality-control inspections and post-repair test drives., • Complete repair orders, warranty documentation, and other required records accurately., • Communicate additional repair needs, concerns, and potential delays promptly., • Work closely with Service Advisors, Parts employees, Group Leaders, and fellow technicians., • Maintain a clean, organized, and safe work area., • Properly maintain dealership and personal tools., • Participate in required BMW technical training and keep all certifications and training current. What We’re Looking For • At least five years of automotive technician experience., • Prior BMW dealership technician experience required., • Current BMW certification at the B level or higher required., • All required BMW training and ASE credentials must be completed and current., • BMW A-Level, Master, and High-Voltage-certified technicians are strongly encouraged to apply., • BMW High-Voltage training and experience preferred., • Strong mechanical, electrical, computerized diagnostic, and problem-solving skills., • Experience using BMW diagnostic equipment, warranty systems, applications, repair instructions, and technical information., • Ability to understand and follow BMW factory repair and warranty procedures., • Strong attention to detail and commitment to fixing vehicles correctly the first time., • Positive attitude, professional demeanor, and commitment to teamwork., • Ability to work independently while contributing to a collaborative service environment., • High school diploma or equivalent., • Valid driver’s license and a driving record that meets the dealership’s insurance and vehicle-use requirements., • Ability to safely operate and test-drive customer vehicles., • Ability to obtain a New York State Motor Vehicle Inspector License within the first 90 days of employment., • Authorization to work in the United States. Employment may be contingent upon successfully completing job-related pre-employment screening and a motor vehicle record review, as permitted by applicable law. Build Your Career with BMW Join a professional service team where your BMW experience, technical certifications, and commitment to quality will be valued. You will have the opportunity to work with advanced BMW automotive technology while continuing to grow your expertise through ongoing training and development. BMW of Long Island City 38-15 Queens Boulevard Long Island City, NY 11101 All applications and inquiries will be handled confidentially. BMW of Long Island City is an equal opportunity employer. Employment decisions are based on qualifications, merit, and business needs without regard to any status protected by applicable federal, state, or local law.