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.
Machine Learning Engineer AI SquaredMachine Learning EngineerWashington, DCYou'll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions.
Machine Learning Engineer STRMachine Learning EngineerArlington, VA$115,000–$140,000 / yearOur projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face.
Artificial Intelligence / Machine Learning Lead Verification and Validation Engineer Pennsylvania State UniversityArtificial Intelligence / Machine Learning Lead Verification and Validation EngineerReston, VA$168,000–$318,840 / yearNotice regarding employment at the Applied Research Laboratory (ARL): Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. We are searching for a talented, experienced, organized, and a highly motivated AI/ML Engineer to join the Visualization and Decision Support Division within the All-Domain Analytics and Signatures Office (A2SO) at the Applied Research Laboratory (ARL) at Penn State.
Machine Learning Engineer Somatus, Inc.Machine Learning EngineerMcLean, Virginia$105,000–$115,000 / yearFull timeAssist 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.
Machine Learning Engineer AdelphiMachine Learning EngineerWashington D.C., WashingtonWe're executing a Mission that (1) Identifies the core bottlenecks in Warfighting, Intelligence and the Enterprise, (2) Assigns top talent with backgrounds in systems and machine learning engineering, and (3) Finds repeatability in solution development to target similar offices across the DoW/IC. About the Role: The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM Ops, and SecDevOps practices, resulting in an exciting, fast-paced engineering role.
Artificial Intelligence / Machine Learning Systems Engineer LV8D SolutionsArtificial Intelligence / Machine Learning Systems EngineerChantilly, VAThe role of an Artificial Intelligence/Machine Learning Systems Engineer centers on delivering Systems Engineering & Technical Advisory (SETA) support to a U.S. Government (USG) Program Office advancing national security and intelligence capabilities through Research & Development (R&D) of evolutionary, revolutionary, and transformational AI/ML algorithms for space and ground systems. LV8D Solutions is seeking an Artificial Intelligence/Machine Learning Systems Engineer to provide technical and program services to the USG by helping the government evaluate and field advanced AI-enabled technologies that improve how space-derived intelligence is collected, processed, and delivered to mission operators and analysts.
Machine Learning Engineer ManTechMachine Learning EngineerArlington, VAMinimum Qualifications : + BA/BS in a relevant field (Computer Science, Software Engineering, AI/ML, etc.) and 8 or more years of professional experience in software development, machine learning, or systems engineering, with deep expertise in Machine Learning Operations (MLOps). In this role you will be part of a cross-functional team of data scientists, data engineers, software developers and business analysts to support the deployment and scaling of AI tools to achieve mission objectives.
Machine Learning Engineer Spear AIMachine Learning EngineerWashington, District of ColumbiaWe're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the next-generation data management and artificial intelligence platform for maritime domain awareness. Whether you're joining our Hardware, Software, or Services division, you'll work alongside talented professionals who are committed to excellence and advancing the capabilities that keep our nation safe and secure.
Machine Learning Engineer VirtualiticsMachine Learning EngineerDistrict Of Columbia, DCBy identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage. Founded 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.
Manager, Data Science - Consumer Identity Machine Learning Capital One Financial CorpManager, Data Science - Consumer Identity Machine LearningMcLean, VA$197,300–$225,100 / yearBasic 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 Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics. In Consumer Identity ML, you will work at all phases of the data science life cycle, including: Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to improve operationalization in scalable and resilient production systems that serve 50+ million customers.
Staff Machine Learning Engineer - Leasing AppFolio IncStaff Machine Learning Engineer - LeasingWashington DC, DCOwn the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes.
Sr. Machine Learning Engineer AppFolio IncSr. Machine Learning EngineerWashington DC$167,200–$209,000 / yearAt its core, Realm-X is built on a structured domain ontology and a set of shared business primitives-such as transactions, actions, reports, metrics, and skills-that enable AI systems to deeply understand and operate across the full context of property management workflows. Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands the trade-offs between end-to-end voice models and modular STT LLM TTS architectures.
Web Application Architect 1– Machine Learning Bloomberg Industry GroupWeb Application Architect 1– Machine LearningArlington, VirginiaBachelor's degree in mathematics, Statistics, Computer Science, or a related STEM field or Bachelor's degree in any subject with a Master's degree or higher in a STEM field required. 1+ years’ experience and/or commensurate skills with an object-oriented programming language such as Java or Python, ML/AI frameworks, libraries, data structures and data modeling techniques.
Machine Learning Engineer CACI International Inc.Machine Learning EngineerChantilly, VA$131,800–$290,000 / yearKnowledge 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.
Staff Computer Vision And Machine Learning Engineer Geico InsuranceStaff Computer Vision And Machine Learning EngineerBethesda, MD$130,000–$260,000 / yearYou will be the technical lead for a team of Computer Vision and Machine Learning engineers and/or data scientists focused on ensuring that computer vision and machine learning models are robust, high-performing, and seamlessly integrated into production systems. This role focuses on building scalable computer vision and machine learning models, mentoring junior engineers, and driving the full lifecycle of computer vision and machine learning model development.
Principal AI & Machine Learning Engineer - U.S. Based Remote Opportunity Common Application IncPrincipal AI & Machine Learning Engineer - U.S. Based Remote OpportunityArlington, VARemoteThe Principal Artificial Intelligence (AI) & Machine Learning (ML) Engineer is the technical leader responsible for embedding artificial intelligence into enterprise workflows and analytic processes to drive measurable gains in productivity, insight generation, and decision support within the Data Analytics & Research (DAR) division. Reporting to the Senior Director, Analytics Engineering, the Principal AI/ML Engineer partners closely with Data Engineering, Data Governance, and cross-functional business stakeholders to ensure that AI solutions are scalable, secure, compliant, and aligned with enterprise data strategy.
NewArtificial Intelligence/Machine Learning Engineer Booz Allen HamiltonArtificial Intelligence/Machine Learning EngineerUsa, District of ColumbiaOnsite : 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. Your ability to design and build practical agentic systems that turn manual workflows into AI-enabled solutions makes you an integral part of delivering mission-focused outcomes.
Machine Learning Engineer 615 Freedom Technology Solutions GroupMachine Learning Engineer 615Chantilly, VirginiaRequired Skills: Demonstrated experience designing, creating tables, views, relationships, and scripting (SQL) with database systems (e.g., Oracle, MySQL, PostgreSQL, SQL, NOSQL, and/or structured and unstructured data). The team shall perform a gap analysis of the following sub-tasks to include analyzing the current state, creating a baseline, identifying the gaps between what is known and what is needed, and developing an action plan to mitigate the gaps.
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.