Computer science engineering jobs in New York, New York - Page 18Create job alerts

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with

Essential Requirements: Advanced degree in Computer Science, Engineering, Statistics, or related field Minimum of 10 years of experience in data science, with 6 years of experience in the pharmaceutical industry is preferred. Skills Desired Applied Mathematics, Artificial Intelligence (AI), Aws (Ama

As a Software Engineer in Retirement Strategies Technology, you will partner with product owners, tech leads, designers, engineers and delivery professionals. Dev Ops Tools & Practices: Branching techniques and usage of GitHub, Bitbucket; DevOps, Jenkins. Bachelor of Computer Science or Engineering

Education & Certification Requirements Bachelor's degree in Computer Science, Data Engineering, Health Informatics, or related field Location 100% Remote Responsibilities Develop scalable ETL/ELT pipelines Normalize and map clinical data to LOINC, SNOMED CT, RxNorm, CVX Build data models for qu

Experience: 7+ years of experience in Windchill PLM systems, focusing on technical architecture and development. Proven track record in implementing Windchill for manufacturing organizations, including part & BOM management, Options and Variants, document management, and engineering/manufacturing change processes. Hands-on experience in integrating Windchill with ERP systems (e.g., SAP, Oracle), MES, and CAD tools (e.g., Creo, SolidWorks). Knowledge of the database schema to leverage reporting using query builder or customized reports. Technical Skills: Advanced expertise in Windchill architecture, customization, and workflow development. Strong programming skills in Java, JSP, XML, and related technologies. Experience with APIs (REST, SOAP), ThingWorx, and middleware solutions for system integrations. Proficiency in database management (e.g., Oracle, SQL Server) and performance tuning. Familiarity with cloud environments (AWS, Azure, or PTC Cloud) is a plus. Attention to detail for quality control and maintaining code base. Soft Skills: Strong analytical and problem-solving skills with a focus on system performance and scalability. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Team leadership and the ability to collaborate effectively across cross-functional teams. Ability to lead cross-functional teams and manage competing priorities. Do the right thing – act with integrity, honesty, and ethical principles. Relationships above all else – prioritizing personal and professional connections. Preferred Certifications: PTC Windchill Certification(s) ITIL, PMP, or Agile certifications are an advantage Education: Bachelor’s or Master’s degree in Computer Science, Mechanical Engineering, or a related field.

What you will bring 7+ years of proven experience as a Systems Engineer, Infrastructure Engineer, or similar senior-level role. BSc/MSc degree in Computer Science, Engineering or a related field will be considered a plus Deep expertise with Linux systems (performance tuning, security hardening, kern

Understanding of applied physics for electrical systems. Understanding the applications and control strategies of power distribution systems and electrical power management systems. Example disciplines include Mechanical or Electrical Engineering, Computer Science, Software Engineering, Control Theo

Data Engineer - DatabricksA financial firm is looking for a Data Engineer - Databricks to join their team. Pay: $100-130/hrUS Citizens or GC Holders OnlyNo c2c - W2 OnlyQualifications:Bachelor's Degree in Computer Science, Management Information Systems, Computer Engineering, or related field7+ year

Client Solutions Software Engineer. Work closely with R&D engineering teams to build robust scalable client solutions. Bachelor's degree in Computer Science, Engineering, or similar.

Candidates should have a background in computer science or electrical engineering, along with strong attention to detail and excellent communication skills.

Qualifications Strong experience in software engineering, technical research, or educational content development. Bachelor’s degree in Software Engineering, Computer Science, or a related field. Ability to work independently in a fully remote, project-based environment.

Platform, SRE, Production, or Systems Engineering fields. Excellent knowledge of all aspects of the software engineering process, including Coding, Testing, Deployment, Scalability, Security, and Maintainability. BS/MS in Computer Science, Engineering, or related discipline.

Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Enginee

Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Enginee

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 field

Job Description • Certification & Licensing, • Must hold a valid NYC Asbestos Investigator Certificate issued by the NYC Department of Environmental Protection (DEP)., • Must hold a valid New York State Asbestos Inspector Certificate issued by the NYS Department of Labor (DOL)., • Education & Experience, • High school diploma or equivalent (required); associate or bachelor’s degree in environmental science, or related field preferred., • Prior asbestos inspection or environmental health & safety (EHS) experience strongly preferred., • Knowledge & Skills, • Knowledge of federal, state, and local asbestos regulations (EPA, OSHA, NYS DOL, NYC DEP)., • Ability to conduct building inspections, collect bulk samples, and complete ACP-5 forms., • Strong documentation and report-writing skills; must be able to maintain accurate inspection records., • Familiarity with building materials, construction methods, and asbestos-containing material identification., • Strong attention to detail and ability to work independently in the field., • Physical Requirements, • Ability to climb ladders, access tight spaces, and carry inspection equipment., • Ability to wear personal protective equipment (PPE), including respirators, as required., • Other Requirements, • Willingness to work flexible hours, including evenings or weekends, depending on project needs., • Professional communication skills for interaction with clients, contractors, and regulatory agencies., • Basic computer proficiency, including email, document management, and standard office software. Job Description Our established (35+ years in business) North Jersey/New York environmental consulting firm has an opening for an Asbestos Investigator / Inspector. This position works under the supervision of a Senior Project Manager and involves working in a team environment with Project Design, Scheduling, Accounting, Sales, and other company groups. While the primary focus of this position is expected to be NYC Asbestos projects, there is also the opportunity to expand into other geographic areas such as NJ and Westchester/Rockland/LI. This diversity provides multiple opportunities for our staff to expand their environmental careers and obtain additional licenses/certifications. Benefits ❖ Medical/dental/vision insurance ❖ Disability insurance (long term) ❖ Paid holidays ❖ 401K matching retirement account and profit sharing plans ❖ Travel expense re-imbursement and/or car allowance Company DescriptionAbout us Omega Environmental Services, Inc. was founded in 1989 when the key personnel of a “Fortune-500′′ company’s environmental engineering division founded their own company. The culture of the new organization is based on providing superior customer service, rapid response, and “turn-key” environmental health & safety services. Our company policy is to earn our client’s trust and respect by providing exceptional client service and consistently high-quality work. This policy has enabled Omega to work with “Fortune-500′′ companies, health care institutions, and insurance companies on their environmental health & safety projects. In addition to asbestos and lead programs, Omega specializes in OSHA compliance programs, health and safety programs, indoor air quality assessments, and Phase I and II environmental site assessments. We have also been leaders in the industry in microbial consulting, remediation design & oversight. Working with healthcare institutions and hospitals, infection control departments often call us to perform outside quality control or assist in preparation for Joint Commission on Accreditation of Healthcare Organizations (JC) inspections. At Omega, we are sensitive that our client’s financial resources available to address environmental and health, and safety issues may be limited. Yet the reduction of environmental liability is also critical. At Omega, both cost minimization and limiting environmental exposure are incorporated into our project design criteria. Since opening, Omega has experienced a health & controlled growth rate of nearly 20% per year, and our professional staff members have diverse backgrounds covering the following disciplines: Environmental Engineering, Industrial Hygiene, Ventilation, Toxicology, Risk Assessment, Air Pollution, Safety, and Environmental Law. Our field staff consists of professionals with undergraduate and advanced degrees and years of experience working with the public and private sectors on environmental projects. Over 80% of our work comes from referrals and repeat business. We have found success by focusing on the needs of our customers without compromising quality or liability-related issues.About us\r\n\r\nOmega Environmental Services, Inc. was founded in 1989 when the key personnel of a “Fortune-500′′ company’s environmental engineering division founded their own company. The culture of the new organization is based on providing superior customer service, rapid response, and “turn-key” environmental health & safety services. Our company policy is to earn our client’s trust and respect by providing exceptional client service and consistently high-quality work.\r\n\r\nThis policy has enabled Omega to work with “Fortune-500′′ companies, health care institutions, and insurance companies on their environmental health & safety projects. In addition to asbestos and lead programs, Omega specializes in OSHA compliance programs, health and safety programs, indoor air quality assessments, and Phase I and II environmental site assessments. We have also been leaders in the industry in microbial consulting, remediation design & oversight. Working with healthcare institutions and hospitals, infection control departments often call us to perform outside quality control or assist in preparation for Joint Commission on Accreditation of Healthcare Organizations (JC) inspections.\r\n\r\nAt Omega, we are sensitive that our client’s financial resources available to address environmental and health, and safety issues may be limited. Yet the reduction of environmental liability is also critical. At Omega, both cost minimization and limiting environmental exposure are incorporated into our project design criteria.\r\n\r\nSince opening, Omega has experienced a health & controlled growth rate of nearly 20% per year, and our professional staff members have diverse backgrounds covering the following disciplines: Environmental Engineering, Industrial Hygiene, Ventilation, Toxicology, Risk Assessment, Air Pollution, Safety, and Environmental Law. Our field staff consists of professionals with undergraduate and advanced degrees and years of experience working with the public and private sectors on environmental projects. Over 80% of our work comes from referrals and repeat business. We have found success by focusing on the needs of our customers without compromising quality or liability-related issues.

Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. Data Scientist, Data Science job at NBC Sports. Role Overview We are seeking a Data Scientist to join the AP&S Data Science team focused on Media Measurement.

Overview Haptiq is an AI-native enterprise solutions company with purpose-built technology for public & private companies, governments, institutions, asset managers, and family offices. With headquarters in New York City and four global offices, Haptiq is supported by more than 300 engineers and delivery professionals across the globe. By centralizing and unifying data, automating workflows, and surfacing predictive insights, Haptiq enables organizations to scale operational excellence and generate alpha across complex enterprise environments. The Opportunity We are seeking a highly skilled Director of AI to lead the design, development, and deployment of advanced AI and machine learning solutions. The ideal candidate will have deep expertise in Large Language Models (LLMs), traditional AI/ML methodologies, and strong Python programming skills. You will collaborate with data scientists, engineers, and product teams to create scalable and innovative AI-powered applications. Responsibilities and Duties • Design and implement AI/ML architectures, including LLM-based and traditional ML models., • Develop and optimize AI solutions for scalability, efficiency, and performance., • Evaluate and integrate emerging AI technologies, tools, and frameworks., • Collaborate with data engineers to build robust data pipelines for model training and inference., • Ensure AI systems align with business objectives and technical requirements., • Drive best practices in AI governance and monitoring., • Optimize AI models., • Stay up-to-date with advancements in AI, LLMs, and ML algorithms., • Provide technical leadership and mentorship to software development teams, guiding them on AI architecture and best practices., • Evangelize AI capabilities across the organization and provide strategic guidance on AI adoption., • Foster a culture of innovation and continuous learning within the AI/ML teams., • Advocate for AI-driven solutions and communicate their value to stakeholders. Requirements • Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field., • Proven experience designing and deploying AI/ML solutions in a production environment., • Strong expertise in LLMs (e.g., GPT, BERT, LLAMA) and traditional ML techniques., • Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)., • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools., • Knowledge of data engineering concepts, SQL, and NoSQL databases., • Strong problem-solving skills and ability to communicate complex AI concepts clearly. Pluses • Experience with AI-driven applications such as chatbots, NLP, and computer vision., • Familiarity with vector databases and retrieval-augmented generation (RAG)., • Understanding of AI security, privacy, and regulatory considerations., • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines. Why Join Us? We value creative problem solvers who learn fast, work well in an open and diverse environment, and enjoy pushing the bar for success ever higher. We do work hard, but we also choose to have fun while doing it. The annual compensation range for this role is $220,000 - $250,000 USD

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Bachelor’s degree in engineering, computer science, or engineering technology required. Prepare and maintain technical documentation, including commissioning reports, field service logs, and engineering specifications. Seeking an Automation/Controls Engineer to design, develop, and commission PLC

Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Masters degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

BUSINESS TITLE: Associate Director of Product Design CIVIL SERVICE TITLE/LEVEL: Executive Program Manager DEPARTMENT: Strategy, Products & Innovation NUMBER OF POSITIONS: 1 SALARY RANGE: $130,000 -$160,000 POSITION STATUS: ? Full-Time APPLICATION DEADLINE: UNTIL FILLED JOB ID #: 777595 Start your career here at the NYC Campaign Finance Board. Click on the link to learn more about the ___ ABOUT THE CAMPAIGN FINANCE BOARD The Campaign Finance Board is a nonpartisan, independent city agency that empowers New Yorkers to have a greater impact on their elections. Our mission is to make local democracy more open, transparent, and equitable by removing barriers to participation. We make it easier for New Yorkers to vote, meaningfully support candidates for city office, and run for office themselves. NYC Votes, our voter engagement initiative, meets people where they are to share trustworthy election information and help New Yorkers make a plan to vote. We publish the citywide Voter Guide, which delivers information about candidates directly to voters? doors. Our public matching funds program ensures small contributions can make a big difference, allowing regular people to run for office by relying on the support of other regular people, not just wealthy donors and special interests. And we lift the veil on how candidates raise and spend money, increasing transparency and accountability in local government. We believe that when every New Yorker is empowered to participate meaningfully in elections, candidates will better reflect the communities they serve, elected leaders will be more accountable to the public, and New Yorkers will have a democracy they can truly trust. ABOUT THE DEPARTMENT The Strategy, Products, and Innovation division is the agency?s newest division and leads the strategic planning and policy work, working across the agency to test out and implement new ideas. This division also creates and actions on the agency?s product roadmap to take us into future elections while maintaining and improving existing systems. The new Product Strategy vertical will be responsible for creating the overall roadmap for tech modernization and process improvements; prioritize tech projects to pursue, and liaise between technical engineers and subject matter experts; and align tech projects with the agency?s strategic plan and objectives. Plans for this vertical include building new teams for product management as well as user experience and service design, as well as some reorganization of existing PMO functions. JOB DESCRIPTION The Associate Director of Product Design is a senior design leader responsible for driving the execution of user-centered design across digital products and public-facing services. Reporting to the Senior Director of Product, this role translates high-level design vision into actionable product experiences that improve service delivery, accessibility, and trust in government. The Associate Director of Product Design plays a critical role in embedding human-centered design practices into cross-functional teams, ensuring that policy-driven requirements are transformed into intuitive, equitable, and accessible digital experiences. This leader balances strategy and hands-on design oversight, mentoring designers while partnering closely with product and engineering leadership. Unlike private sector roles focused on revenue or growth metrics, success in this role is measured by usability, accessibility, adoption, clarity, and public value. This position will require the selected candidate to obtain NYC residency within 90 days of starting their job and be in-person in the CFB Manhattan office a minimum of 1 day a week. Responsibilities include but are not limited to: • Lead end-to-end product design efforts for key digital services and platforms., • Translate policy, operational, and regulatory requirements into simple, intuitive user experiences., • Ensure consistent application of design standards, accessibility requirements, and inclusive design principles., • Oversee user flows, interaction models, wireframes, prototypes, and high-fidelity design outputs., • Champion user research practices including interviews, usability testing, journey mapping, and accessibility testing., • Ensure all digital products meet accessibility standards (Section 508, WCAG)., • Embed inclusive design practices that account for language access, digital literacy, disability access, and device constraints., • Promote scalable, modular design practices across products., • Serve as an advocate for human-centered design within the agency, helping non-design teams understand and adopt iterative, user-focused workflows., • Mentor and coach mid-level and senior designers, providing feedback and growth opportunities while supporting hiring efforts to build a diverse, high-performing design team., • Foster a collaborative, inclusive, and mission-driven team culture. Requirements: • 5+ years of experience in product design, UX/UI, or service design., • 5+ years of experience designing complex digital services that serve broad and diverse user populations., • 5+ years of experience working with cross-functional teams in agile or iterative environments., • Strong portfolio demonstrating systems thinking, accessibility awareness, and end-to-end product ownership., • Knowledge of accessibility standards (WCAG, Section 508) and inclusive design best practices., • Strong facilitation and communication skills, especially in environments involving policy or regulatory complexity. Candidates for this role must include a portfolio of their work when applying for this position ESSENTIAL KNOWLEDGE, SKILLS, ABILITIES & OTHER BEHAVIORS (KSAOs) We're seeking individuals eager to make an impact, even if they don't tick every box on our job description. We believe in the power of diverse perspectives and the unique blend of lived experiences, non-traditional education pathways, practical know-how, and a variety of skills and abilities that each candidate brings to the table. If you're ready to learn and grow with us, we encourage you to apply and be part of our dynamic team. Knowledge • Comprehensive understanding of human-centered design, including user research, interaction design, usability testing, and service design., • Deep knowledge of accessibility standards such as WCAG, Section 508, and ADA considerations., • Familiarity with digital product development lifecycles, specifically agile and iterative delivery practices., • Expertise in design systems, component libraries, and scalable interface patterns., • Understanding of frontend implementation, including responsive design and interaction behaviors., • Solid grounding in inclusive and equity-centered design principles., • Understanding of data-informed design and the use of usability metrics. Skills • Ability to simplify complex processes and policy-driven workflows through high-quality design., • Proficiency in planning and conducting user research and translating findings into actionable improvements., • Skill in defining and tracking design quality metrics, such as usability scores, task completion rates, and accessibility audit pass rates., • Strong skills in leading workshops, stakeholder alignment sessions, and design critiques., • Skill in facilitating co-design sessions with end users, specifically those from underserved or historically excluded communities., • Demonstrated ability to navigate and find "middle ground" when policy-driven requirements conflict with user experience., • Mastery of modern design tools, specifically Figma or comparable platforms., • Strong written and verbal skills, with the ability to present design rationale to non-technical stakeholders., • Proven ability to work across cross-functional teams, including product, engineering, policy, and communications., • Effective mentorship and people management skills, with a focus on developing staff for career growth. Abilities • Build consensus for design decisions among leadership, legal, and policy teams., • Create clear design specifications, documentation, and reusable patterns., • Build structure and processes within forming teams or organizational uncertainty., • Translate design impact into mission-driven language for executive audiences., • Lead end-to-end design initiatives from concept through implementation and iteration., • Remain flexible and adjust plans while working effectively under pressure., • Balance high-level strategic thinking with hands-on design execution., • Build trust with diverse internal teams and external communities., • Demonstrated ability as a creative problem solver. Other Behaviors • Ability to give and receive constructive feedback professionally., • Strong attention to detail while maintaining a senior-level perspective., • Deep commitment to public service, transparency, and equitable access to government services., • Proven commitment to diversity, equity, and inclusion, including the leadership of a diverse staff., • Exhibits high levels of passion and energy for the agency?s mission and the work at hand. PREFERRED QUALIFICATIONS • 5+ years of experience in product design, with a demonstrated track record of discovery and delivery of technological projects., • 3+ years of managing people., • Previous work in government, civic, or political tech., • Experience building a product design team from scratch., • Experience modernizing legacy products., • Knowledge of content design and plain language principles, particularly as they apply to policy-heavy, civic-facing services. MINIMUM QUALIFICATIONS ? A bachelor?s degree from an accredited college including or supplemented by at least twelve-semester credits (or the equivalent of twelve-semester credits) in accounting, auditing, business or public administration, computer science, economics, finance, statistics, graphic design, personnel or human resources administration, user experience design, or a closely related area of study and one year of satisfactory full-time experience in accounting, auditing (including compliance or investigative auditing), business or public administration, business analysis, computer science, database administration, economics, finance, fiscal or economic management or research, statistics, graphic design, personnel or human resources administration, user experience design, or a closely related field; or A four-year high school diploma or its educational equivalent and five years of experience as described in ?1? above; or Education and/or experience equivalent to ?1? above. TO APPLY: All applicants must apply through ___ • Please search and apply to the job ID number listed above., • Resume and cover letter are required for consideration. ADDITIONAL INFORMATION - The City of New York provides generous medical benefits (including dental and vision through respective unions or funds), retirement, tuition reimbursement, and additional ancillary benefits. CFB offers a flexible and hybrid work schedule, opportunities for career development, learning & development (leadership training and coaching), wellness programs, and much more! As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education?s website at ___. The CFB is an equal opportunity employer firmly committed to diversity. All individuals are encouraged to apply. If you anticipate needing any type of reasonable accommodation to apply for an employment opportunity, please contact ___ or (212) 409-1800. The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Finance Reconciliation Analyst New York City, NY (3 days Onsite - Hybrid) 12 months with possible extension/conversion Web Cam Interview $55/Hr on W2 Assist with setup and on-going support for bank loan, warehouse and repo facility reconciliation and position reporting Monthly and quarterly ABS and CLO processing and related automation Cash and loan transaction account reconciliation and related automation Daily reconciliation report and position statement review and related automation Assist with documentation of requirements, use cases, and related testing data Follow detailed reconciliation and processing scripts to: • Properly bifurcate cash and transaction activity and related breaks for each facility, • Assist with preparation of daily aggregated facility reporting, • Test model and data for completeness and accuracy, • Some experience in the ABS/CLO/CMBS/RMBS industry is preferred, • Proficiency in a programming language such as python or VBA is desirable but not required, • General knowledge of databases, software and overall process design is desirable, • BS degree in finance or a relevant quantitative field such as mathematics, physics, computer science, or engineering is highly desirable, • Proficiency with cash-flow modeling of securitized products is preferred, • Proficiency with bank loan or repo facility cash and account reconciliation is strongly preferred, • Must be highly competent with Excel, • Proficiency with Access, SQL, and/or ETL experience is a plus, • Must have strong problem-solving skills, excellent work ethic, and good communication skills, • Must be motivated and able to work both independently and as part of a team

Freelance GenAI Developer – Prompt Engineering & Data Workflows This opportunity is only for candidates currently residing in the specified country. Requirements You hold a Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields. You have a

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

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

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 field

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

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

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

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; we are looking for candidates with a strong background in Software Engineering or Computer Science for a Java/Software Developer position.

Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at

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

Digital Strategist, Paid Social Media Digital Media | New Media & Internet | Marketing & Advertising Hybrid | New York, NY | United States (U.S.) $65,000-$90,000 Base + Benefits A leading, innovative digital media company seeks an experienced Digital Strategist, Paid Social Media to successfully manage paid social campaigns, analyze campaign performance, and report campaign insights to meet business growth in the Eastern United States. THE ROLE: As Digital Strategist, Paid Social Media, you will work cross-functionally and lead the analysis of large amounts of social media data to generate key insights that enable senior leadership, thus driving digital optimization & business growth. You will be responsible for: • Collecting, cleaning, and analyzing social media & marketing data using Google Analytics, • Designing & executing A/B tests and analyzing/interpreting results; performing website tracking, • Extracting key insights from analyses & tests, and delivering data-driven recommendations YOUR SKILLS: • Progressive commercial digital/marketing/web analytics experience in media, eCommerce, etc., • Proficient in Paid Social platforms (i.e., Facebook, Instagram, LinkedIn, YouTube, Snap, etc.), • Proficient in gathering, cleansing & analyzing website data in Google Analytics (i.e., GA360, GA4), • Familiar with/ digital data platforms & tools (i.e., Adobe Analytics, Google Tag Manager, Salesforce), • Well-versed in core advanced analytics data mining & scripting tools such as Python, R, and SQL, • Proficient in building customized dashboards using BI tools (i.e., Looker, Power BI, Qlik, Tableau), • Proven commercial experience designing, executing, and analyzing statistical tests (i.e., A/B), • Strong knowledge of media channels & concepts (i.e., Display, Paid Search, SEM, SEO, Social), • Proven commercial experience extracting insights from web data (i.e., clickstream, website traffic), • Well-versed in advanced analytics techniques (i.e., LTV, trend analysis, user journey analysis), • Comfortable working cross-functionally with/ technical & non-technical teams; presenting to leaders, • Strong verbal/written communication, negotiation, and presentation skills across the business, • Bachelor's degree in Business, Computer Science, Economics, Engineering, Mathematics, Physics, Psychology, or related field; M.B.A. or M.S. preferred BENEFITS: As a Digital Strategist, Paid Social Media, you can make up to a $90,000 base salary (depending on your experience). HOW TO APPLY: Please register your interest by submitting your resume to Oisin Ennis via the apply link on this page.

Our company delivers value-added logistics solutions on a global scale through customized approaches that meet our clients’ evolving needs. As we continue to expand our digital capabilities and safeguard our systems, we are currently seeking a highly motivated and experienced system specialist to join our IT team. The IT Systems Analyst will support and maintain Warehouse Management System (WMS), Transportation Management System (TMS), and related logistics systems (including Last Mile Delivery (LMD) system across warehouse and distribution operations. This role is responsible for system operation support, issue analysis, user communication, and coordination with external vendors to ensure stable system performance and business continuity. Roles & Responsibilities 1. System Operation & Support Monitor and support WMS, TMS, and logistics operation systems Analyze user requests and provide initial responses Analyze system errors and identify root causes Respond to critical failures and collaborate with vendors 2. Incident & Change Management Manage system failure tickets and track resolution status Support testing and validation activities, including User Acceptance Testing (UAT) for new logic/features. Conduct impact analysis and communicate with users during system changes 3. Business Process Support Understand warehouse operation processes (Inbound, Outbound, Inventory Control, etc.) Support TMS-related dispatch/transportation processes Compile and document requests for process improvements 4. Documentation Create and update system manuals Prepare incident reports and system improvement documentation Manage documentation for standardized operational processes Requirements & Qualifications • Fluency in Korean and English (written and verbal) preferred, • Bachelor's degree or higher (IT, Computer Science, Industrial Engineering, Logistics-related majors preferred), • 2-5 years of experience operating WMS or TMS or other logistics systems, • Understanding of logistics/warehouse operations systems, • User communication skills, • Experience analyzing system data using SQL is a plus, • Strong sense of ownership and accountability This position is not eligible for employer-sponsored work authorization now or in the future. Applicants must be legally authorized to work in the United States without employer sponsorship.

Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: computational biology, computer science, biophysics, computer science, engineering, applied mathematics, statistics, mathematical physics, engineering, or related discip

As a member in JPMorgan Private Equity Group, you will lead the digital strategy, design, development, and implementation of digital solutions and operating models that enhance PEG's investment, diligence, portfolio monitoring, and reporting processes. In addition, you will support Portfolio Managers (PMs) in client facing roles by utilizing data to streamline client presentations and ad hoc requests as well as automate recurring tasks. This role partners closely with investment teams, operations, and technology to translate business needs into actionable product requirements and support delivery of high-impact initiatives. Job responsibilities * Lead the development, execution and steady-state maintenance of PEG's technology platform * Manage the day-to-day activities for core product design through leading product discoveries, establishing product discovery and design frameworks, defining the core product discovery process and recruiting business users for conducting user interviews * Facilitate dynamic client reporting using data maintained across PEG's investment platform * Develop high fidelity prototypes and perform technical and business viability of prototypes and ensure compliance with firm-wide user experience standards for PEG technology products across geographies * Automate recurring client deliverables such as monthly cash flow and quarterly valuation reconciliations * Lead "Design thinking" style engagements with internal product teams and Investment Management teams with creative discretion on day-to-day Product Design operations * Provide PMs access to enhanced analytics relating to portfolio construction, performance and liquidity by incorporating data sourced both internally from PEG-generated systems as well as from PEG's vendor network * Lead junior product managers in carving out minimum viable product backlogs and roadmaps * Drive transformation of our product development and design process into one that leverages human centered Interface (HCI) design and Agile and scrum development methodologies with a focus on actively engaging business users in internal product development * Lead design and execution of cloud-based technical architectures and full-stack hands-on development of solutions * Convert wireframes and prototypes into enterprise scale functional products using expertise in front-end and back-end engineering * Participate in the overall implementation and scaling of the digital cloud-based products * Lead Agile methods such as sprint planning, grooming, estimation and retrospective and co-manage complex product backlogs. Mentor incoming analyst and junior associates within the global technology team Required q ualifications, capabilities and skills * Bachelor's degree in engineering, Computer Science, or related field. * Master's degree in Business (MBA) with specialization in Finance, Strategy and Change Management. * 5+ years of experience in private equity, consulting, product management, or digital transformation. * Strong analytical, problem-solving, and documentation skills. * Experience with workflow mapping, requirements gathering, and agile delivery practices * Proficiency in Excel and data visualization tools (e.g., Power BI, Tableau) * Excellent communication and stakeholder-management skills Preferred qualifications, capabilities and skills * Familiarity with private equity deal processes, fund structures, and investor reporting * Experience with enterprise data platforms, CRM systems, or deal management tools * Exposure to AI/ML applications or document-intelligence technologies Competencies * Ability to manage multiple priorities in a fast-paced environment * Structured thinking and attention to detail with strong collaboration and interpersonal skills JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Base Pay/Salary New York,NY $104,500.00 - $160,000.00 / year

Bachelor's Degree in Operations Research, Industrial Engineering, Engineering Management, Business Analytics, Computer Science, or related fields with a concentration in operations or analytics.

We are looking for a dedicated Assistant Trader to work under this trader as a Junior Trader. This is a unique opportunity to work directly under a seasoned trader, managing a significant portfolio across multiple accounts. You will be watching the markets, doing deep level research, and executing hundreds of trades per day, primarily in the small cap equities market. We are looking for an individual who loves the game of trading but prefers the strategic and analytical side of execution over the high-stress personal risk of independent trading. Whether you are a veteran of the industry looking for a more structured environment or a brilliant engineering mind ready to break into finance, this role offers a direct mentorship path to potentially bigger roles in the future. Responsibilities • Trade Execution & Management: Executing buy and sell orders for various financial instruments, including small cap equities and options contracts., • Deep-Dive Research: Acting as a lead researcher and analyst to identify market inefficiencies and optimize entry/exit strategies., • Operational Optimization: Closely monitoring routing and slippage to ensure the highest quality of execution., • Strategic Growth: Collaborating directly with the head trader to share insights, trends and ideas for optimization., • Performance Reporting and record keeping: Analyzing daily, weekly, and monthly performance metrics to ensure all managed accounts are being monitored. Requirements • Education & Background: A Bachelor’s degree in Finance, Economics, Mathematics, Statistics, or Computer Science (specifically for algorithmic trading) is preferred but not necessary, • Trading Experience:, 1–3 years of experience in market analysis or trading, • Skill Set: Exceptional quantitative, analytical, and risk management skills. You must demonstrate the ability to work under high pressure and make split-second decisions., • Technical Proficiency: Knowledge of programming languages like Python or MATLAB is a significant advantage for our automated and quantitative strategies., • Excellent knowledge of trading protocol - must have a good understanding of market tactics such as short selling and options trading strategies, as well as dark pool routes and bid/ask level 2, • Hungry and highly motivated individual, • Very good communication skills, • Flexible work hours - many days you will be expected to be working 12 hours. —------------- COMPENSATION & BENEFITS • Compensation: USD6,000 - USD8,000

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Position Title: Technology Support, Emerging Talent Intern. Provide insights and recommendations to support the technical requirements with internal stakeholders. Major(s) Preferred: Computer Science; Business Administration; Management of Technology, Architecture & Engineering; Information Science;

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Angular; knowledge of CSS preprocessors (Sass, LESS); responsive design and mobile‑first websites; strong understanding of RESTful APIs; familiarity with Webpack or other bundlers; experience with Version Control (Git). Qualifications: Bachelor’s degree in Computer Science, Engineering, or relat

At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. Computer and Information Science, Computer Applications, Computer Engineering, Information CyberSecurity, Information Technology, Management Information Systems pref

Alternatively, will accept a Master's degree in Computer Science or a related field, and 6 years of experience in the job offered or in a Software Engineer-related occupation. Manage the delivery of engineering projects across multiple teams, ensuring effective stakeholder engagement and communicat

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Publications studying tokenization, data quality, dataset curation, or labeling * Contribution to a major open source corpus * Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at