NewPress Machine Operator PrideStaffPress Machine OperatorLorton, VA$18–$23 / hourWhether you’re an entry-level worker or a senior executive, an HR Manager or a front line supervisor, our goal is to understand what matters to you – your goals, your priorities, your success. Operate, monitor, and maintain high-speed automated production machinery used to form paper cups.
NewAI Engineer D. Kent Consulting Group, LLCAI EngineerSpringfield, VADKC Group is seeking a seasoned AI SME / AI Systems Engineer to support federal clients as they evaluate, design, and implement practical AI solutions in mission environments. If you understand how to translate mission needs into AI use cases, technical approaches, and implementation strategies and you are comfortable advising in federal environments-- we would like to hear from you.
NewGeotechnical Engineer AGR LLCGeotechnical EngineerMcLean, VALead the development of detailed research workplans specifically focused on bridge-related soil-structure interaction to address high-priority challenges faced by State DOT engineers. Join the Federal Highway Administration’s nationally recognized Geotechnical (GEO) Laboratory and contribute to research that directly impacts the safety, durability, and performance of U.S. transportation infrastructure.
Machine Learning Engineer III AerovironmentMachine Learning Engineer IIICentreville, VA$129,500–$197,500 / 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.
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.
NewStaff Machine Learning Engineer, Document & Vision Intelligence Geico InsuranceStaff Machine Learning Engineer, Document & Vision IntelligenceBethesda, MD$130,000–$260,000 / yearThis role focuses on building scalable ML systems, applying AI-native thinking to accelerate experimentation and delivery, and partnering closely with product and business stakeholders to solve high-impact problems. You will be a technical leader for a team of Machine Learning engineers and/or data scientists focused on ensuring ML solutions are robust, high-performing, and seamlessly integrated into production systems.
Machine Learning Engineer CymertekMachine Learning EngineerChantilly, VirginiaData Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher, Data Analyst, ect. Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.
NewMachine Learning Engineer - Autonomy Heven AeroTechMachine Learning Engineer - AutonomySterling, Virginia$110,000–$165,000 / yearThis engineer works closely with other Machine Learning Engineers, Platform Engineers, Flight Test, and aircraft engineering teams to take autonomy capabilities from development through simulation, integration, ground test, and flight test. Integrate autonomy software with autopilots, companion computers, mission computers, sensors, payloads, data links, and GCS/C2 systems while maintaining clear interfaces with flight-control functions.
NewMachine Learning Engineer, Autonomy Heven AeroTechMachine Learning Engineer, AutonomyWashingtonThis engineer works closely with other Machine Learning Engineers, Platform Engineers, Flight Test, and aircraft engineering teams to take autonomy capabilities from development through simulation, integration, ground test, and flight test. Integrate autonomy software with autopilots, companion computers, mission computers, sensors, payloads, data links, and GCS/C2 systems while maintaining clear interfaces with flight-control functions.
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 HamiltonMachine Learning EngineerArlington, Virginia$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, 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.
Senior Data Scientist / AI Machine Learning Research Engineer CACISenior Data Scientist / AI Machine Learning Research EngineerSterling, Virginia$113,200–$237,800 / yearJob Title: Senior Data Scientist / AI Machine Learning Research EngineerJob Category: ScienceTime Type: Full timeMinimum Clearance Required to Start: TS/SCIEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Continental US* * * The Opportunity: CACI has an exciting new opportunity for a Senior AI and Machine Learning Research Engineer. 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.
NewMachine Learning Engineer StackAdaptMachine Learning EngineerCalifornia, MDRemote$140,000–$192,500 / yearFactors Influencing Final Compensation: The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. You'll be working directly with our Applied Machine Learning Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models.
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–$190,000 / yearThe 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.
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 timeREQUIREMENTS:TS/SCI clearance with polygraph required, including additional security screeningsEducation and Experience RequirementsCandidates must meet the following minimum education and relevant experience combinations by level:Entry Level:HS/GED + 6 years experienceAssociate's + 4 years experienceBachelor's + 2 years experienceMaster's degree (experience may be substituted as appropriate)Journeyman Level:HS/GED + 8 years experienceAssociate's + 6 years experienceBachelor's + 4 years experienceMaster's + 2 years experienceSenior Level:HS/GED + 10 years experienceAssociate's + 8 years experienceBachelor's + 6 years experienceMaster's + 4 years experiencePhD + 2 years experienceExpert / Master Level:HS/GED + 12 years experienceAssociate's + 10 years experienceBachelor's + 8 years experienceMaster's + 6 years experiencePhD + 4 years experience Join a mission-driven team advancing government communication capabilities and operational readiness. We 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.
Machine Learning Engineer & AI Platform Developer - 10+Years Of Experirnce Two95 International Inc.Machine Learning Engineer & AI Platform Developer - 10+Years Of ExperirnceHerndon, VARemoteStrong 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.
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.
Lead Machine Learning Engineer Capital OneLead Machine Learning EngineerMcLean, 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.
Sr. Distinguished Machine Learning Engineer Capital OneSr. Distinguished Machine Learning EngineerMcLean, VirginiaYou’ll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale.