Top Machine Learning Jobs in Washington, DC

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

As a Principal Software Engineer, you'll architect and code backend services and ML models, integrate them with Salesforce, and mentor junior engineers.

Work within the CEO's office to design and implement AI-powered workflows, transform unstructured information into actionable materials, prepare executive briefings, support cross-functional teams, build internal knowledge systems, and continuously identify and deploy AI solutions to eliminate repetitive work and increase productivity.

Lead and transform the Fraud Intelligence Team into a high-impact function by improving operating models, QA, tooling, and metrics; build entry-level talent programs; connect labeling to measurable fraud prevention outcomes; deliver actionable insights to Product, R&D, Analytics, and GTM; and leverage AI and automation to increase productivity and business impact.

Lead enterprise platform sales by partnering with C- and VP-level executives to drive adoption of Aera's decision intelligence platform. Own pipeline, develop account strategies, close large strategic deals, expand usage within clients, and collaborate cross-functionally to meet ACV and revenue targets. Act as a trusted advisor and subject-matter expert in clients' industries.

Lead development of generative AI platforms for U.S. government, ensuring ethical deployment and compliance, managing the full product lifecycle, and engaging stakeholders.

The Software Engineer, Applied AI will develop machine learning solutions and classification models, enhancing text, image, and video understanding on a policy intelligence platform.

As Head of Marketing, you'll coordinate marketing efforts, develop messaging strategies, manage outbound campaigns, and create branding collateral for Citian.

Pre-sales technical lead for federal accounts who builds and delivers AI/ML and GenAI demos, designs compliant solutions (FedRAMP/DoD IL/NIST/FISMA), supports pilots/proofs, advises on data readiness and security, and partners with sales to drive federal adoption.

Lead Safety Architect for autonomous vehicles, focusing on safety architecture, metrics, analysis, and collaborative processes for software delivery and safety standards.

The Senior Director of Information Technology leads the global IT function, aligning technology with business priorities, overseeing digital transformation, cybersecurity strategies, and IT infrastructure optimization.

As an Analytic Methodologist, you will lead analytics projects, develop and evaluate methodologies, and support the Department of Defense with your expertise in data science, knowledge graphs, and ontologies.

MAXISIQ seeks experienced IT and Cybersecurity professionals for roles in Systems Administration, Network Engineering, and Software Development. Candidates should have relevant certifications and clearances.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Serve as second-in-command for Coinbase Derivatives' Market Regulation Department, leading day-to-day regulatory compliance, managing exams and audits, advising on CFTC Core Principles, reviewing surveillance escalations and enforcement actions, and coordinating cross-functional regulatory workstreams to ensure the DCM meets obligations and resolves findings timely.

Own product strategy and delivery for chat, voice, and proactive support surfaces to maximize automation rates and CSAT. Build AI-integrated capabilities with ML/LLM teams and vendors, partner with Engineering, CX Operations, Data Science, and Compliance on platforms (Amazon Connect, Sprinklr, Salesforce), drive build-vs-buy decisions, and execute cross-functional delivery to optimize customer and agent experiences.

Support the Secretary's front office by modernizing Board processes through digital design, AI-enhanced analytics, and interactive visualizations. Deliver dashboards, multimedia content, and PowerPoint briefings; manage Board data, meeting logistics (Annual/Spring Meetings, IMFC), and front office workflows. Collaborate across teams to implement IT/AI solutions, automate reporting, and provide ad hoc HR, budget, and administrative support under tight deadlines.

Design and lead end-to-end AI solution architectures, ensuring scalability, security, and compliance. Translate business and regulatory requirements into technical designs, evaluate tools/platforms, document architecture standards, coordinate technical teams, and support deployment and ongoing improvements.

Lead strategy and delivery for an AI-powered claims decision-support and auto-adjudication platform. Define vision and roadmap, manage a team of product managers, partner with business, engineering, and data science, and drive adoption, impact measurement, and executive-level communication across a complex, matrixed enterprise.

Advise clients on antitrust eDiscovery compliance using machine learning and generative AI. Build and validate TAR/AI models (Epiq AI, Relativity, Reveal, Brainspace), craft LLM prompts, draft defensible protocols, train/transfer workflows to review teams, and support client-facing, pre-sales, and thought-leadership activities. Must manage multiple projects and meet deadline-driven schedules.

Lead development of model-driven pricing intelligence, supplier performance signals, and automated financial reconciliation across flights, hotels, cars, and ancillaries. Define roadmaps, productionize predictive models, implement monitoring/drift detection, and deliver cross-functional, measurable systems that ensure revenue integrity and marketplace economics.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.