Machine Learning Engineer Capgemini Government Solutions LLCMachine Learning EngineerWashington, DCHowever, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. Capgemini Government Solutions (CGS) LLC is seeking a highly motivated Machine Learning (ML) Engineer with an active security clearance to deliver high-quality code components to power the services, servers, distributed systems, and backend architecture.
Senior Data Scientist (Machine Learning & Geospatial Analytics) – TS/SCI Required LeidosSenior Data Scientist (Machine Learning & Geospatial Analytics) – TS/SCI RequiredAnnandale, VA$92,300–$166,850The analyst will work closely with Intelligence Community (IC) partners, geographic names experts, and multi-INT analysts to ensure imagery-derived assessments are geospatially precise, linguistically accurate, and operationally relevant. Bachelor’s degree and 12+ years of relevant experience, or Master’s degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field.
NewSenior Data Scientist JobotSenior Data ScientistArlington, VA$130,000–$170,000 / yearInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. This role will partner cross-functionally with business and technical teams to build scalable data solutions, translate complex insights, and help shape AI-driven strategy.
Senior Applied Scientist , Prime Video Ads Amazon.com Services LLCSenior Applied Scientist , Prime Video AdsArlington, VAPrime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, Crunchyroll and MGM+. Do you want to work at the intersection of deep learning, causal inference, and product optimization, where your models directly shape how customers experience advertising on one of the world’s largest streaming platforms?.
Lead Data Scientist Calibre SystemsLead Data ScientistAlexandria, VACALIBRE Systems inc, an employee-owned mission focused solutions and digital transformation company, is looking to hire a Lead Data Scientist to provide senior-level technical and management leadership in support of a federal civilian government agency. · Interface with senior government leaders, contracting representatives, program managers, technical teams, and other stakeholders to communicate progress, resolve issues, negotiate priorities, and support informed decision-making.
Senior Software Engineer (C++ / Java) JobotSenior Software Engineer (C++ / Java)MONTGOMRY VLG, MD$165,000–$185,000 / yearWith deep expertise in cloud-first architectures, automation, DevSecOps, virtualization, reliability engineering, and large-scale systems integration, we help organizations modernize infrastructure, improve operational efficiency, and support mission-critical environments where performance, security, and resiliency are essential. This role is ideal for a seasoned engineer who enjoys solving complex technical challenges, contributing to system architecture, and partnering closely with Systems Engineering, Development, and Test teams to deliver robust, scalable solutions.
Sr. Software Engineer JobotSr. Software EngineerGaithersburg, MD$140,000–$165,000 / yearWith deep expertise in cloud-first architectures, automation, DevSecOps, virtualization, reliability engineering, and large-scale systems integration, we help organizations modernize infrastructure, improve operational efficiency, and support mission-critical environments where performance, security, and resiliency are essential. Our teams partner closely with customers to deliver innovative solutions across cloud strategy, cybersecurity, systems integration, data engineering, machine learning, AI, disaster recovery, and enterprise infrastructure initiatives.
NewSenior GEOINT Data Scientist MANTECHSenior GEOINT Data ScientistSpringfield, VADemonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS. Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products.
Quantum Engineer SME DCS CorporationQuantum Engineer SMESpringfield, VAPerform trade studies and conduct analyses to evaluate proposed quantum machine learning approaches, review technical reports, assess product-quality impacts, and characterize performance using quantum simulation or related technologies to support verification and quality assurance. The DCS Air and Space Technology Sector are seeking a qualified candidate to apply subject matter expertise in the areas of quantum engineering, analysis, and system design of complex programming projects supporting National Agencies.
NewSr. Delivery Consultant - AI/ML, AWS WWPS ProServe Amazon Web Services, Inc.Sr. Delivery Consultant - AI/ML, AWS WWPS ProServeArlington, VAAs trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Senior AI Developer NuAxis InnovationsSenior AI DeveloperWashington DC, DCThe Senior AI Developer serves as the lead technical resource responsible for designing, developing, integrating, and supporting enterprise Artificial Intelligence (AI) and Machine Learning (ML) solutions that enhance business applications, automate processes, and improve operational efficiency. This role collaborates with Product Owners, Federal Project Managers (FPMs), Business Analysts, Subject Matter Experts (SMEs), Solution Architects, developers, and stakeholders to deliver secure, scalable, and responsible AI solutions that align with business and mission objectives.
Software Architect - Senior CredenceSoftware Architect - SeniorMcLean, VAUnlike a traditional software architect or software development role, this position is focused on technical strategy, enterprise advisory services, business process transformation, and identifying innovative technology solutions that improve mission outcomes. As the Senior Software Architect, you will serve as a trusted technical advisor responsible for helping government leadership identify, evaluate, and implement technologies that modernize business processes across the DLA enterprise.
Data Management Analyst DCS CorporationData Management AnalystFort Belvoir, VAThis position supports a fast-paced program office with the collection, evaluation, analysis, reconciliation, validation, management, and identification of electronic data and records for a health-related program. DCS is seeking a Data Management Analyst to support an Army project management office at Fort Belvoir, Virginia.
NewSenior Specialist, Federal Data Science KPMGSenior Specialist, Federal Data ScienceWashington, DCIf you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. Leverage a variety of data sources such as social media, internal / external documents, images, video, financial data, and operational data to develop cutting-edge data-driven products.
NewManager, Economic Services - Data Science KPMGManager, Economic Services - Data ScienceWashington, DCThese include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Work with KPMG's extensive network of specialists & enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative solutions.
NewLead Specialist, Federal Data Science KPMGLead Specialist, Federal Data ScienceWashington, DCBuild / manage production-ready data science product lifecycles, continuous delivery and automation pipelines (MLOps), orchestration / model management in cloud environment; cluster large amount of user generated content / process data in large-scale environments using Amazon EC2, STorm, Hadoop, Spark, etc. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
NewDirector, AI Engineer KPMGDirector, AI EngineerWashington, DCDeep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices. Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation.
Research Scientist - Aging and Disability Economics, Evaluation, and Public Health Surveillance NORC at the University of ChicagoResearch Scientist - Aging and Disability Economics, Evaluation, and Public Health SurveillanceWashington, D.C.$106,000–$130,000 / yearWorking knowledge of nationally representative longitudinal cohort studies relevant to aging, such as the Health and Retirement Study (HRS), the National Health and Aging Trends Study (NHATS), or the National Social Life, Health, and Aging Project (NSHAP), including their wave structure, imputation conventions, and Medicare linkages. Our team includes prominent health policy experts, nationally recognized public health researchers with general and specialized expertise in areas such as rural health and tribal issues, health communications, skilled methodologists, and leaders in the field of survey design and implementation.
NewSenior Manager, Economic Services - Program Evaluation KPMGSenior Manager, Economic Services - Program EvaluationMcLean, VAThese include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Qualifications: Minimum eight years of experience in an audit, tax, and/or advisory firm, or professional services firm, coupled with experience with public sector agencies and corporations requiring analytical support in areas, such as program evaluation.
NewSenior Specialist, Federal Data Scientist KPMGSenior Specialist, Federal Data ScientistWashington, DCIf you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation.
Machine Learning Engineer AeroVironment IncMachine Learning EngineerCentreville, VA$102,000–$144,375 / yearThese development efforts will generally be small focused design teams which will require a senior machine learning engineer to use a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience - with qualifications in any of the following fields: Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering.
Sr. Data Scientist / Machine Learning Engineer CACI International IncSr. Data Scientist / Machine Learning EngineerDC$105,100–$231,100 / yearWe are seeking a highly experienced subject matter expert to drive technical innovation, architect advanced data engineering solutions, and implement machine learning models that support our clients' LAN, WAN, and UC services. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications.
Machine Learning Engineer - Computer Vision CaseGuardMachine Learning Engineer - Computer VisionArlington, VAExperience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm. Our team is driven by a passion for great software design, creating great products, and creative processes; CaseGuard implements innovative ideas across multiple services and agencies.
Machine Learning Engineer - Geospatial (TS/SCI) LaunchCode FoundationMachine Learning Engineer - Geospatial (TS/SCI)Springfield, VA$175,000–$250,000 / yearThis role will focus on fine-tuning Vision Language Models (VLMs) on domain-specific geospatial imagery, building scalable AWS training infrastructure, and developing evaluation frameworks for image understanding and spatial reasoning. Huge plus for candidates who have hands-on experience taking multimodal models such as CLIP, LLaVA, Qwen-VL, or similar Vision Language Models and fine-tuning them on classified or mission-specific imagery datasets.
Senior Data Scientist/Machine Learning Engineer - TS/SCI with Poly (req-242) CATHEXISSenior Data Scientist/Machine Learning Engineer - TS/SCI with Poly (req-242)Tysons, VA$150,000–$190,000The Data Scientist/ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.
Machine Learning Engineer Booz Allen Hamilton IncMachine Learning EngineerArlington, VA$77,600–$176,000 / yearYou'll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to implement a wide variety of AI use cases. Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Machine Learning Engineer 10a LabsMachine Learning EngineerWashingtonRemoteBrings curiosity, creativity, and rigor to ambiguous research and engineering problems, with a bias toward experimentation and rapid iteration; Thrives in collaborative, interdisciplinary environments while also being comfortable independently driving projects to completion; Communicates technical concepts clearly to both technical and non-technical audiences; Is resourceful, proactive, and comfortable operating in a fast-moving startup environment. You will collaborate closely with researchers, software engineers, red teamers, and subject-matter experts to develop production-ready systems that support leading AI organizations and technology companies.
Machine Learning Engineer Somatus IncMachine Learning EngineerMcLean, VAAssist with end-to-end lifecycle for AI and machine learning projects, including idea generation, data and feature engineering, model training, model evaluation, model testing, model deployment, model monitoring, and maintenance. Partner with ML engineers, data engineers, software developers, product managers, data analysts, and clinical and operations team members to deliver machine learning solutions that make an impact.
AI / Machine Learning Modeler / Engineer - National Capital Region (NCR); Must have an active TS/SCI Clearance with Polygraph Synertex LLCAI / Machine Learning Modeler / Engineer - National Capital Region (NCR); Must have an active TS/SCI Clearance with PolygraphBethesda, MDFull timeWe are seeking a skilled AI / Machine Learning Modeler / Engineer to support critical government and intelligence programs by developing, deploying, and maintaining advanced machine learning models in production environments. This role focuses on building high-performing, scalable AI solutions using supervised, unsupervised, and reinforcement learning techniques to solve complex operational challenges.
Machine Learning Application Engineer University of MarylandMachine Learning Application EngineerCollege Park, MD$80,000–$110,000 / yearSenior-Level: Masters degree in a relevant field such as Computer Science, Computer Engineering, Software Engineering, Data Science, or related discipline, plus relevant experience and 7+ years of experience in a technical role or project management position for defense or intelligence R&D programs with experience in technology assessment, systems design, system analysis, executing on multiple technical programs with scheduled deliverables, and communicating and interfacing with government customers; or Bachelors Degree and 10+ years of relevant experience in a role of equivalent responsibility. Mid-Level: Masters degree in a relevant field such as Computer Science, Computer Engineering, Software Engineering, Data Science, or related discipline, plus relevant experience and 3+ years of experience in a technical role or project management position for defense or intelligence R&D programs with experience in technology assessment, systems design, system analysis, executing on multiple technical programs with scheduled deliverables, and communicating and interfacing with government customers; or Bachelors Degree and 5+ years of relevant experience in a role of equivalent responsibility.
Machine learning Engineer & AI Platform Developer - 10+years of experirnce Two95 International Inc.Machine learning Engineer & AI Platform Developer - 10+years of experirnceHerndon, VARemote$100,000–$120,000Strong programming skills in Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). In this role, you will be responsible for designing, developing, and deploying machine learning models and AI applications.
Machine Learning Engineer Virtualitics IncMachine Learning EngineerDCFounded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world's most complex, mission-critical challenges with AI. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage.
Machine Learning Engineer - Secure AI Lab Carnegie Mellon UniversityMachine Learning Engineer - Secure AI LabArlington, VAThe Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.
Sr. Lead Machine Learning Engineer Capital OneSr. 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. 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.
Machine Learning Engineer II, CNN Digital Products and Services Warner Bros. Discovery IncMachine Learning Engineer II, CNN Digital Products and ServicesDC$112,000–$208,000 / yearYou will work on production ML systems with measurable product impact, collaborating with cross-functional teams of engineers, data scientists, product managers, and editorial staff. Our ML/AI team works at the intersection of journalism, technology, and user experience, building systems that help people discover and engage with the news that matters to them.
Machine Learning Engineer - R126 Expedition TechnologyMachine Learning Engineer - R126Herndon, VirginiaIf you feel fulfilled by rolling up your sleeves and thinking about hard problems, building and integrating learning-based algorithms and systems, and delivering robust solutions in a fast paced but scientifically rigorous environment, we want to hear from you! The candidate should feel comfortable developing and testing end-to-end deployable systems; from sourcing and curating data, building, training, and evaluating models, to productizing final deliverables.
Software/Machine Learning Engineer - R123 Expedition TechnologySoftware/Machine Learning Engineer - R123Herndon, VirginiaAs a member of our team, you will: work with an extremely talented, motivated, supportive and welcoming team in an Agile ecosystem to develop new capabilities using the latest open-source frameworks. We’re looking for an engineer who wants to work with and support the latest in computer vision related application development ensuring that security, performance, maintainability, scalability, usability and reliability are considered.
Staff Machine Learning Engineer Xometry IncStaff Machine Learning EngineerNorth Bethesda, MD$200,000–$220,000 / yearYou will be the data engineering lead for the digital thread that connects Xometry''s platform to our partner's ecosystem - Solid Edge, NX, Designcenter, and Teamcenter - building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. Bachelor''s degree in a STEM field (or equivalent experience) plus 6-8 years of experience in machine learning engineering, with a track record of owning and delivering complex ML systems in production.
Machine Learning / Data Scientist Parsons CorpMachine Learning / Data ScientistDC$88,400–$154,700 / yearThis role requires the ability to frame complex problems, select appropriate modeling approaches, implement and validate models, and communicate results in accessible terms to non-technical audiences. Education and Experience: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a closely related field; a master's degree is preferred but not required, or equivalent work experience.
Cyber Machine Learning Engineer, Senior Booz Allen Hamilton IncCyber Machine Learning Engineer, SeniorArlington, VA$99,000–$225,000 / yearAs a Cyber Machine Learning Engineer at Booz Allen, you will have an opportunity to contribute to novel and impactful work using your machine learning and cybersecurity expertise to enable and automate near real-time detection and defense for Department of Defense, federal, and commercial clients. Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Lead Machine Learning Engineer Capital One Financial CorpLead Machine Learning EngineerMcLean, 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: 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.
AI / Machine Learning Engineer CyberMedia TechnologiesAI / Machine Learning EngineerMcLean, VAUnlike traditional "black-box" models, your work will focus on marrying the reasoning capabilities of Large Language Models (LLMs) with deterministic, rule-driven patterns to ensure accuracy, auditability, and compliance in complex decision-making workflows. Deterministic Logic Integration: Develop "Guardrail" layers that synchronize probabilistic LLM outputs with rigid business rules, ensuring benefit determinations adhere strictly to legal and regulatory frameworks.
Sr. Distinguished Machine Learning Engineer Capital One Financial CorpSr. Distinguished Machine Learning EngineerMcLean, VA$314,800–$359,300 / yearWhat you'll do in the role: • Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams • Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems • Lead large-scale ML initiatives with the customer in mind • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale • Optimize data pipelines to feed ML models • Use programming languages like Python, Scala, C/C++ • Leverage compute technologies such as Dask and RAPID • Evangelize best practices in all aspects of the engineering and modeling lifecycles • Help recruit, nurture, and retain top engineering talent. McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning 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.
Staff Machine Learning Engineer SamsaraStaff Machine Learning EngineerWashington DC, DCRemoteYou believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
AI/Machine Learning Engineer SME Integration Innovation IncAI/Machine Learning Engineer SMEDC$200,000–$350,000 / yeari3 is a technically diverse, 100% team member owned business, headquartered in Huntsville, Alabama specializing in missile and aviation systems engineering and logistic services, electronic warfare and electromagnetic effects analysis, UAS system integration and flight operations, full lifecycle C5ISR engineering services, cybersecurity and IT/IA innovative solutions and virtual training, simulation & serious game development and implementation. We have established a broad offering of products and capabilities collectively providing decades of experience supporting the full complement of DoD military services, Missile Defense Agency, National Aeronautics and Space Administration, and a variety of other Government organizations and private industry customers.
Senior Data Scientist / AI Machine Learning Research Engineer CACI International IncSenior Data Scientist / AI Machine Learning Research EngineerSterling, VA$82,100–$172,400 / yearPay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing.
Machine Learning Engineer, Detection and Tracking HelsingMachine Learning Engineer, Detection and TrackingWashingtonThis is an applied ML role: you won't be writing research papers, but you will be expected to have strong intuition for model performance, data quality, and the practical trade-offs involved in getting detection and tracking systems to work reliably in production. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Sr Lead Machine Learning Engineer Capital OneSr 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. Sr 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.
Machine Learning Engineer CACIMachine Learning EngineerChantilly, VirginiaKnowledge of LLM technologies including exposure to Large Language Models, orchestration frameworks (LangChain, LangGraph), • Understanding of RAG architectures and vector databases (ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems. Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications.
Research Scientist - RF Machine Learning PeratonResearch Scientist - RF Machine LearningCollege Park, Maryland$135,000–$216,000 / yearFull timeYou will collaborate with researchers, software engineers, signal processing experts, and customer stakeholders to solve complex problems involving RF sensing, signal characterization, waveform analysis, spectrum awareness, and machine learning-enabled wireless systems. This role will focus on leading the design, development, prototyping, and evaluation of RF Machine Learning algorithms and signal processing techniques for advanced wireless, spectrum, cyber, and communications research.