Top Machine Learning Jobs in Washington, DC

Lead payments-focused analytics to generate customer and business insights, build data-driven business cases, define KPIs and test-and-learn strategies, automate analyses, and partner cross-functionally to optimize payments, deposits, and customer experiences.

Build and operate scalable Golang backend services and APIs for a multimodal ML platform handling video, image, and document processing. Integrate ML/LLM inference, agentic workflows, and vector retrieval (Milvus). Deploy and manage services on Kubernetes with Terraform on AWS, ensure observability, reliability, and security, and collaborate with ML engineers to productionize pipelines and run on-call/incident response.

Lead technical customer engagements and guide cross-functional teams to design, build, and deploy enterprise-scale AI solutions. Provide architecture and program leadership for LLMs, RAG, ML, and cloud-native systems; establish engineering standards, CI/CD, observability, and AI governance; mentor engineers and support business development.

Lead customer-facing design, development, and deployment of AI-enabled software solutions. Translate stakeholder needs into scalable architectures, build production-quality code and APIs, implement CI/CD and observability, and mentor engineering teams. Drive solution discovery, technical leadership across projects, and adoption of modern AI/ML and DevOps practices to deliver mission-critical outcomes.

Evaluate and author high-quality computer science content to improve AI model reasoning and accuracy. Analyze complex CS problems, create scenarios/datasets, review AI outputs for correctness, and collaborate remotely to refine guidelines and documentation.

Lead technical strategies for AI and IT infrastructure in government projects, focusing on agile development, architecture design, and risk management.

Lead the development and implementation of AI initiatives across the Department of Defense, ensuring ethical, safe, and effective AI adoption while maintaining compliance with principles of responsible AI.

The Chief Learning Officer will develop and implement a learning strategy, oversee educational programs, and drive employee development aligned with PCAOB's mission.

As a Senior Data Scientist, you will analyze complex datasets, develop algorithms, and provide insights to clients using machine learning and statistical methods. You'll lead projects, collaborate with teams, and apply data visualization to solve global challenges.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Serve as the technical lead in pre-sales for public sector customers: run discovery, design POCs, deliver demos, advise on identity verification and fraud solutions, collaborate with Sales, Data Science, Product, and Customer Success, and mentor junior consultants.

Partner with Sales AEs to provide technical pre-sales support: deliver product demos and technical deep dives, build proof-of-concept environments, facilitate discovery, and establish customer relationships to drive adoption and close deals. Support marketing with demos, workshops, and white papers.

The Senior Data Scientist will manage data collection, design study protocols, train juniors, lead report development, and support innovative analytics tools.

The role involves conducting research and optimizing machine learning systems while collaborating with technical staff to enhance product performance.

As a Research/ML Engineer, you will translate cutting-edge AI research into product solutions, develop safety and reliability systems, and collaborate with technical teams.

The Director of AI will lead AI and machine learning initiatives, develop AI architecture for humanoid robots, oversee production-ready AI systems, and manage team growth and budget.

The Research Advisor will provide high-level consultancy for generative AI systems, engage in research collaborations, and represent the Human Frontier Collective in key executive meetings.

As an AI Trainer - Machine Learning Specialist, you will provide expert feedback on AI models, complete AI training tasks, and assess AI performance. Candidates must exhibit ML expertise and complete a skills verification test.

The Research Engineer will design and build evaluation systems to measure data quality for Firecrawl's web data extraction, creating metrics and benchmarks, and collaborating on model improvements.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

OneSix is seeking motivated professionals for future opportunities in data and AI consultancy. Interested candidates should submit their resumes to stay in touch.

Design, build, and maintain forecasting and portfolio optimization models for U.S. power markets; analyze market outcomes, track supply/demand/congestion dynamics, and apply statistical, optimization, and ML methods to inform commercial decisions.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Co-found and lead a stealth startup building an agentic AI platform embedded in CAD tools to automate geometry updates, feature-tree edits, and cross-tool workflows. Drive product, engineering, and commercial strategy, hire the founding team, and develop a defensible data capture and automation stack for industrial CAD workflows.

The VP of Sales will drive enterprise adoption of AI-powered healthcare software, engage with stakeholders, and shape go-to-market strategies for new AI products.