Top Remote Machine Learning Jobs in Washington, DC

Lead complex, cross-functional AI programs end-to-end: translate strategy into integrated plans, drive multi-team execution, mitigate risks (data, model, compliance), apply ML lifecycle practices, use Agile/kanban methods, manage budgets/vendors, communicate to senior stakeholders, and mentor other program managers to improve AI program standards.

Lead the design and execution of the Agriculture portfolio, focusing on AI-enabled weather forecasting for smallholder farmers. Build partnerships with governments and delivery partners, oversee program scaling, and ensure high-quality delivery of AI-driven services.

Source, engage, and qualify technical candidates using LinkedIn, GitHub, X‑Ray, and other tools. Build pipelines for engineering and technical leadership roles, run outreach campaigns, perform initial screening, document candidate details in ATS/CRM, and partner with recruiters to meet client hiring timelines while improving sourcing strategies.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

The Research Engineer will build training infrastructure and reward pipelines, fine-tune models, bridge RL with LLMs, run fast experiments, communicate findings, and collaborate with the research team at Firecrawl.

Own and scale the customer entry-to-purchase lifecycle: design acquisition journeys, build and optimize welcome/abandon/lead conversion automations, implement personalization and gamification, partner cross-functionally, steward list health and deliverability, and run A/B and multivariate testing to improve conversion and engagement metrics.

Support configuration, delivery, and integrity of proctored exams and related systems. Manage exam lifecycles, incidents, reporting, integrations (APIs/SSO), and provide tiered technical support. Contribute to content, psychometric analysis, and AI-assisted initiatives while maintaining documentation, access controls, and audit trails.

Own Jerry.ai's organic presence on Reddit, Quora, TikTok and YouTube: grow communities, develop channel-specific playbooks, scale authentic content (using AI where helpful), collaborate with Growth and Content, and measure sentiment, share of voice, referral traffic and LLM citations.

Lead and grow Jerry's organic presence on Reddit, Quora, YouTube, and TikTok. Develop community playbooks, scale authentic engagement using AI, grow subreddits, collaborate with Growth and Content, and measure sentiment, share of voice, referral traffic, and LLM citation.

Lead Jerry's organic presence across Reddit, Quora, YouTube, and TikTok. Build community playbooks, grow subreddits, scale authentic content and engagement (using AI where helpful), align with Growth and Content, and measure sentiment, share of voice, referral traffic, and LLM citation.

Write and maintain developer-focused documentation (guides, API/client references, walkthroughs, sample apps). Improve developer portal information architecture, collaborate with engineering/product/customer success, and use qualitative and quantitative feedback to iterate and maintain docs.

Lead sales of Akamai's enterprise security portfolio across assigned Midwest accounts, develop and manage pipeline, position Zero Trust architectures, collaborate with internal security engineers and researchers, engage C-level stakeholders, and close new and expansion business.

Lead a team of safety engineers to define and execute AV safety strategy across development, simulation, testing, and deployment. Apply UL4600/ISO standards, develop safety cases, set safety metrics (SPI), manage safety plans and artifacts, train engineers, and coordinate with partners and stakeholders to validate ML models and ADS integration for safe public-road operation.

Lead technical pre-sales for large Oil, Gas & Energy accounts, define and implement Databricks-based data and ML/AI strategies, build technical champions, mentor teammates, and drive enterprise adoption through technical leadership and value selling.

Lead product initiatives for football data analytics and AI experiences: define business cases, understand customer workflows, drive cross-functional squads, own in-product onboarding and customer success, and iterate quickly to deliver measurable outcomes like revenue and retention.

Lead product discovery, prioritize roadmaps, and deliver football data analytics and AI features. Work with design, engineering, analytics, and former NFL experts to build, onboard, and iterate products that drive revenue, retention, and customer success in a fast-paced startup environment.

Lead design and scaling of a unified fraud and risk platform. Define product strategy, own fraud metrics, run SQL-driven analysis and A/B tests, and partner with engineers and data teams to build real-time detection, identity verification, and transaction monitoring. Balance customer experience with risk mitigation and communicate impact to executives, legal, and partners.

Lead Felix's global pricing strategy and infrastructure. Define monetization trade-offs, run advanced pricing experiments and elasticity research, partner with Finance on unit economics, and collaborate with Engineering to build automated/ML-driven pricing engines while keeping pricing transparent and user-friendly.

Lead design, build, and operate an end-to-end Identity Platform for KYC/KYB, overseeing CIP, CDD, sanctions screening, and continuous risk monitoring. Drive AI-first automation to reduce manual reviews, mentor engineers, manage reliability and incidents, and represent technical solutions to customers and regulators. Partner cross-functionally to shape roadmap and ensure regulatory compliance and extensibility across jurisdictions.

The role involves designing and implementing advanced analytics solutions for healthcare payers, analyzing complex problems, mentoring juniors, and building client relationships.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

As a Staff Applied ML Scientist, you will develop and maintain fraud detection models, conduct research on fraud types, and collaborate across teams to drive product development and real-time decision-making.

As a Senior Applied ML Scientist, you'll develop fraud detection models, research new fraud types, and write production code while collaborating across teams to enhance SentiLink's identity verification solutions.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

As Co-Founder & CEO, you will define strategy, lead customer development, drive product iterations, raise capital, and build the founding team for InfluTracker, an AI content intelligence venture.