Artificial Intelligence/Machine Learning (AI/ML) Engineer 1- TS/SCI w/Poly PeratonArtificial Intelligence/Machine Learning (AI/ML) Engineer 1- TS/SCI w/PolyLaurel, Maryland$112,000–$179,000 / yearFull timeBenefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan. Experience training, retraining, deploying, scheduling, monitoring, and improving models based on iterative user and system feedback is required to support designing and creating scalable solutions for optimal performance.
AI/Machine Learning Engineer 2 Columbia Technology PartnersAI/Machine Learning Engineer 2Annapolis Junction, MD$7,000–$20,000 / yearFull timeWith a proven track record in information security, project management, systems/network engineering, security risk management, vulnerability assessments, and mobile security implementation; our employees have the experience, expertise, and innovative thinking our customers need for results that exceed expectations. The ideal candidate will have experience designing and implementing AI-driven workflows, integrating large language models (LLMs) into operational processes, and developing solutions that operate effectively within secure enterprise environments.
Sr. Lead Machine Learning Engineer (IC) Capital OneSr. Lead Machine Learning Engineer (IC)McLean, VirginiaIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) Capital OneSr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)McLean, VirginiaLead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Senior Machine Learning Engineer Strider TechnologiesSenior Machine Learning EngineerTysons Corner, VirginiaWe create time for engineers to dig into hard problems and invest in their craft — whether that’s a new modeling approach, a better evaluation framework, or contributing to internal tooling that raises the whole team’s ceiling. Using cutting-edge AI and proprietary methodologies, we transform open-source data into actionable insights that help protect technology, talent, and supply chains from nation-state risks.
Sr. Distinguished Machine Learning Engineer (Remote-Eligible) Capital OneSr. Distinguished Machine Learning Engineer (Remote-Eligible)McLean, VirginiaRemoteDesign, build and maintain robust ML infrastructure and pipelines to support end-to-end workflows including feature extraction, model training, testing, guardrails, model evaluation, deployment, and both real-time and batch inference - ensuring high performance, scalability, and reliability. Define and drive technical strategy and roadmap for our Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across all Capital One products and services.
Senior Associate Product Management - Machine Learning and AI Capital OneSenior Associate Product Management - Machine Learning and AIMcLean, VirginiaYou’ll also work across teams to build products that enable seamless and scalable model development, influence strategic decisions, and contribute to building a thriving product practice in support of our overall Machine Learning capabilities. Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology.
Senior Manager, Product Management - Machine Learning and AI Capital OneSenior Manager, Product Management - Machine Learning and AIMcLean, VirginiaBasic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's or Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field), Business or Marketing. You’ll also work across teams to build products that enable seamless and scalable model development, influence strategic decisions, and contribute to building a thriving product practice in support of our overall Machine Learning capabilities.
Applied Machine Learning Scientist 2 The Washington PostApplied Machine Learning Scientist 2Washington, DC$108,700–$181,100 / yearBeyond our award-winning Newsroom and Opinions teams, we work across many departments, including Brand & Events, Communications, Customer Care, Engineering & Product, Finance, Human Resources, Legal, Marketing & Advertising, Print Operations, and Sales. Familiarity with modern ML architectures, including transformer-based models, embedding models, two-tower architectures, LLMs, VLMs, and their applications in large-scale personalization and recommender systems.
Agentic AI Machine Learning Engineer SynergisticITAgentic AI Machine Learning EngineerSilver Spring, MD$90,000–$154,000 / yearExplore resources and get started on your Journey to get Hired: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ . SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers .
Director of Machine Learning & 3D Reconstruction QuidientDirector of Machine Learning & 3D ReconstructionColumbia, MarylandYou will own the ML engineering function within our Product Development group, driving quality improvements in our 3D scene reconstruction pipeline, while building and managing a high-performing team of engineers and applied scientists. Partner with the APD technical leads and Director of Software Engineering to scope work, resolve technical blockers, and maintain delivery velocity.
Artificial Intelligence/Machine Learning 2 Avid Technology ProfessionalsArtificial Intelligence/Machine Learning 2Annapolis Junction, MarylandThe AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g.
Lead Machine Learning Engineer (Manager IC) Capital OneLead Machine Learning Engineer (Manager IC)McLean, MassachusettsIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
Senior Manager, Machine Learning Engineering Capital OneSenior Manager, Machine Learning EngineeringMcLean, VirginiaSenior Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated toproductionizing machine learning applications and systems at scale. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Capital OneApplied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)McLean, VirginiaCurrently 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. 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.
Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning) Capital OneApplied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning)McLean, VirginiaCurrently 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. 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.
Staff Deep Learning Engineer QuidientStaff Deep Learning EngineerColumbia, MarylandDesign and train novel deep neural network architectures from scratch for a variety of reconstruction tasks — including surface anomaly detection (e.g., dent detection), geometry-based defect identification, and neural rendering improvements. Stay current with the latest advances in deep neural network architectures, training techniques, and optimization methods, continuously bringing relevant ideas into the pipeline.
Data Scientist (FORECASTED) Columbia Technology PartnersData Scientist (FORECASTED)Annapolis Junction, MD$7,000–$20,000 / yearFull timeLevel 1: Four (4) years of experience analyzing datasets and developing analytics, plus two (2) years of experience programming with data analysis tools such as Python, R, SAS, or MATLAB.Level 2: Eight (8) years of experience analyzing datasets and developing analytics, plus five (5) years of experience programming with data analysis tools such as Python, R, SAS, or MATLAB.Preferred With a proven track record in information security, project management, systems/network engineering, security risk management, vulnerability assessments, and mobile security implementation; our employees have the experience, expertise, and innovative thinking our customers need for results that exceed expectations.
Advisor Software Engineer (Ai/Ml) Fannie Mae CorpAdvisor Software Engineer (Ai/Ml)Reston, VAAmazon Web Services (AWS), Amazon Web Services (AWS), Atlassian JIRA, AWS Machine Learning, Business Process Management Skills, Cloud Technology, Communicating in Technical Writing, Communication, Computer Vision, Configuration Management (CM), Coordination, Customer and Market Insights, Data Analysis Interpretation, Data Mining, Data Visualization, Enterprise Information Security Architecture, Gradient Boosting Algorithms, Identity Management (IdM), Internal Auditing, Knowledge Management, Machine Learning (AI), Model Explainability, Multi-modal Machine Learning Models, Natural Language Processing (NLP), Neural Networks Methods and Algorithms {+ 20 more}. The Advisor Software Engineer (AI/ML) role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities: Determine the needs of the customer groups across multiple projects, programs, or products while identifying and resolving conflicting or complementary needs across customer groups.
Software Engineer, Applied AI State AffairsSoftware Engineer, Applied AIWashingtonKnowledge of various AI/ML concepts such as computer vision, image processing, statistical modeling/inference, data mining, natural language processing (NLP), prompt engineering, graph/geometric deep learning, large language models (LLM), and generative AI. The final job level and annual salary will be determined based on the education, qualification, knowledge, skills, ability, and experience of the final candidate(s), and calibrated against relevant market data and internal team equity.