Top Remote Machine Learning Jobs in Washington, DC

Partner with healthcare clients to discover, design, and deliver production-grade AI/LLM solutions. Architect cloud-native systems, build and deploy ML/LLM applications, prototype rapidly, troubleshoot distributed systems, and lead client engagements to drive measurable business outcomes while collaborating across product, platform, and engineering teams.

Lead B2B activation marketing to drive patient starts from commercial referral channels by building scalable systems, attribution frameworks, and repeatable playbooks. Implement MarTech and data-driven strategies, run A/B and incrementality tests, automate campaign execution using AI/ML and LLM tools, and templatize activation campaigns while managing and growing a cross-functional team.

Lead design and implementation of Headway's insurance systems (eligibility, pricing, matching, claims). Build data-intensive, ML-powered platforms and automation, mentor engineers, write high-impact code, and improve accuracy and reliability across state and payer complexity to scale insurance-covered therapy.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

Remote Business Development Executive focused on winning US Navy contracts, OTAs, and task orders. Builds trusted Navy relationships, shapes pre-solicitation opportunities, manages Salesforce CRM pipeline, supports capture and proposal efforts, and represents the company at industry events to grow Navy revenue.

Designs and implements customer-focused SLO and SLI monitoring solutions for applications hosted in Azure and other cloud platforms. Responsibilities include instrumenting code, detecting and remediating SLO breaches, developing automation and troubleshooting guides, analyzing reliability trends, optimizing performance and scalability, and collaborating with customers and engineering teams to improve observability and service reliability.

Manage and mentor a global team of data engineers and data scientists, align technical delivery with business goals, allocate resources, improve delivery processes, drive automation and technical evangelism, and collaborate with sales and account teams to support growth.

Develop and automate Python-based ETL and data pipelines in Databricks; clean and preprocess manpower/personnel data; build, train, and deploy machine learning models; create Qlik/Tableau reports and dashboards; maintain historical data and troubleshoot ETL; produce documentation and data products; collaborate with cross-functional teams to translate requirements into data-driven solutions.

Lead product strategy and execution for the Mytonomy patient engagement platform. Define roadmap, validate opportunities through research and analytics, expand EMR/CRM/API integrations, and apply AI/ML to improve patient outcomes while partnering with cross-functional teams to drive commercialization and adoption.

Lead product strategy and execution for Mytonomy's patient education and engagement platform. Own roadmap, discovery, research, and data-driven prioritization; expand integrations (EMR/EHR, CRM, APIs); collaborate across engineering, sales, marketing, and customer success; identify and apply AI/ML and predictive analytics opportunities; evaluate new product investments and commercialization to improve patient engagement and outcomes.

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.

The Chief Enterprise Architect will oversee the design and integration of cloud and data architecture solutions for government projects, ensuring alignment with industry standards and best practices.

Own Anthropic’s conventional weapons policy, defining boundaries for model assistance and translating technical judgments into guardrails, evaluations, detection systems, and enforcement tools. Build threat models, assess software and autonomous weapons risks, advise on escalations, communicate policy across technical and nontechnical teams, and engage government, industry, and external experts. The role requires deep weapons-systems expertise, open-source technical analysis, knowledge of weapons law and export controls, and sound judgment in ambiguous, high-consequence situations.

Enterprise sales role focused on growing revenue in the Pacific Northwest by hunting new logos, expanding existing accounts, owning the full sales cycle, building pipeline, developing territory plans, collaborating with marketing and solutions architects, and leveraging AI tools to drive prospecting, forecasting, and executive-level engagements.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

The Senior Product Manager will oversee the strategy and development of telematics data products, manage cross-functional teams, and ensure product viability and market alignment through customer insights and technical fluency.

Audit and improve human and model-generated data outputs for accuracy, consistency, and policy compliance. Provide actionable feedback, clarify evolving guidelines, support annotators, coach new team members, monitor workflows and blockers, identify recurring issues and edge cases, participate in calibration discussions, and document findings to improve team performance and quality at scale.

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.

Design, implement, and test cloud-based ETL/data pipelines and datasets to support analytics and data science workloads. Collaborate with data scientists and analysts, translate business requirements into technical solutions, and follow data engineering best practices.

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

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.

Partner with functional leaders to translate business strategy into people strategy. Own org design, performance management, compensation, talent development, engagement, and retention. Provide coaching on career pathing, change management, and sensitive employee issues. Use people data to generate insights and recommendations, build compliant HR policies, manage global employee relations, and collaborate with People Team COEs to deliver cohesive people programs at scale.

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 the technical sales process for SLED customers, from discovery and solution design through demonstrations, post-sales support, renewals, and upselling. Partner with account managers to deliver technical wins, present product vision, advocate for customer needs, and support public-sector data initiatives. The role requires strong knowledge of data technologies, cloud and private-cloud platforms, public-sector regulations, technical presentations, customer requirements gathering, and communication with technical and non-technical audiences.

Leads advanced data science and analytics initiatives using statistics, modeling, machine learning, and business analysis. Develops scalable policy-adherence metrics and valuation models using complex structured and unstructured healthcare data, including claims and denials. Creates reports, projections, and presentations; advises executives; manages stakeholders; and influences roadmap and implementation decisions across compliance, contracting, Medicaid, and business teams.