Lead Machine Learning Engineer Capital OneLead Machine Learning EngineerMcLean, 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 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.
Staff Product Manager, Wallet Authentication ID.meStaff Product Manager, Wallet AuthenticationMclean, VA$187,650–$229,160 / yearYou will set the vision for ID.me's authentication platform: first-factor and multi-factor flows, passkeys, machine-to-machine authentication for APIs and AI agents, and AAL-level platform design under NIST 800-63-4. Authentication Flows: Own first-factor and second-factor authentication including passwordless, passkeys, silent network authentication, and identifier-based flows.
Senior Staff Engineer, Autonomy Capabilities – Space (R5360) Shield AISenior Staff Engineer, Autonomy Capabilities – Space (R5360)Washington, DCLI-ED1 #LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space).
Senior Software Engineer II (TASER Data Science) AxonSenior Software Engineer II (TASER Data Science)Washington, United StatesThe actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work.
Senior Software Engineer, Autonomy Capabilities – Maritime (R5339) Shield AISenior Software Engineer, Autonomy Capabilities – Maritime (R5339)Washington, DCFull-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space).
Fleet Scheduler Data Scientist AST SpaceMobileFleet Scheduler Data ScientistMarylandThis person will work in coordination with software engineers to implement the algorithms and models that are developed, and will also work closely with aerospace, network, and operations engineering teams to translate physics- and constraint-driven system behavior into scalable prediction, optimization, and control architectures. This role requires a deep understanding of state-of-the-art techniques in combinatorial optimization of heterogeneous graphs for system scheduling, and must develop an understanding of a host of underlying systems and subsystems to efficiently incorporate their features into both predictive and reactive action planning loops.
Sr. Enterprise AI Data Architect T. Rowe PriceSr. Enterprise AI Data ArchitectBaltimore, MarylandAs a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. Strong experience with AWS and Snowflake, including architecture and implementation patterns for governed data access, analytics, and AI integration; experience with Amazon Bedrock Agent Core and Snowflake Cortex strongly preferred.
Senior Systems Architect Valiant Solutions, LLCSenior Systems ArchitectWashington, Washington, DCFull timeTo ensure that employee performance does not suffer in a remote work environment, all employees who telecommute are expected to have a quiet and distraction-free workspace with adequate internet, dedicate their full attention and availability to their job duties during working hours, and maintain a schedule during core business hours that align with those of their coworkers and Valiant's clients. The role produces the Engineering Design Documents, blueprints, and control mappings that govern how cybersecurity capabilities including SIEM, SOAR, CDM, TDSP, EDR, AWS GovCloud services, and identity platforms integrate across the client environment.
Senior Lead Machine Learning Engineer Capital OneSenior Lead Machine Learning EngineerMcLean, 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. Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Software Engineer (TS with CI Poly Req.) MD August SchellSoftware Engineer (TS with CI Poly Req.) MDFort Meade, MD$140,000–$175,000 / yearDemonstrated in-depth experience with Java programming and multiple Java frameworks, including Spring (Boot and Data), Java Enterprise Edition (JEE), Jackson, Jersey, Swing, and JavaFX. Background in software development on Agile teams using practices like Pair Programming, Test-Driven Development (TDD), Refactoring, and Acceptance Test Driven Development (ATDD).
Sr. Lead Machine Learning Engineer Capital One Financial CorpSr. Lead Machine Learning EngineerMcLean, VA$229,900–$262,400 / yearIn 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. 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.
Lead Machine Learning Engineer (Enterprise Platforms Technology) Capital One Financial CorpLead Machine Learning Engineer (Enterprise Platforms Technology)McLean, VA$197,300–$225,100 / yearIn 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. 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 Capital One Financial CorpSr Lead Machine Learning EngineerMcLean, VA$229,900–$262,400 / yearIn 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. 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.