Top Senior Machine Learning Jobs in Washington, DC

Lead Financial Systems & Carrier Integration engineering teams, split time between hands-on technical work and people management. Drive architecture, delivery, AI/data initiatives, cross-functional collaboration, quality practices, HIPAA compliance, and production incident/RCA leadership.

Lead pre-sales technical strategy for large enterprise accounts, build proofs-of-concept and demos, drive Databricks adoption for ML/AI use cases, mentor teammates, and cultivate technical champions and executive relationships.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

The Global VP of Customer Success will transform customer success operations, improve customer value realization, and work with executive teams to enhance product offerings.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

Lead pre-sales technical engagements for Conversational and Generative AI solutions, collaborate across teams, and design value-driven demos for enterprise customers.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

Sell Signifyd's Commerce Protection Platform into enterprise eCommerce accounts. Own full sales cycle with Sr. AE, drive pipeline, close $200K+ ACV deals, prospect outbound, engage C-level stakeholders, partner cross-functionally, travel for onsite meetings and events, and maintain SFDC.

This role involves identifying partnership opportunities within the AI ecosystem, developing strategies, negotiating agreements, and measuring pilot success metrics. You will work closely with product and engineering teams to align partnerships with growth priorities.

Lead the Data Science team, overseeing the development and deployment of ML solutions, managing analytics workflow, and collaborating with cross-functional teams.

As a Machine Learning Engineer, you will develop, deploy, and maintain ML models while collaborating on AI strategies for national security.

As a Strategic Projects Lead, you will develop and maintain data pipelines for Large Language Models, manage projects, validate data quality, and collaborate with machine learning experts to improve AI applications for public sector customers.

The Director of AI will lead enterprise AI strategy, define architecture, evaluate AI platforms, ensure governance, and enhance digital workflows across various business functions to improve operational efficiency.

Lead the Revenue Optimization team for Netflix's ad business, focusing on optimization algorithms and collaboration with various stakeholders to enhance advertising systems.

As a Senior Data Scientist, you will leverage statistical modeling and machine learning to optimize ad-related projects, collaborating with various teams to drive impactful product decisions and metrics measurement.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

Lead TELUS Digital's Google CES initiatives, managing team performance, delivering AI-powered customer engagement solutions, and ensuring client satisfaction while driving innovation.

Seeking a Senior Full Stack .NET Developer to work on a social good project, with strong skills in C#, AngularJS, design, and UX. Requires 5+ years of experience.

The Senior Product Manager will lead AI integration into products, collaborating cross-functionally to enhance user experiences, driving innovation and measurable impact for financial advisors.

Design and manage curated fact and dimension datasets, semantic/subject-area models, and governance. Partner with BI and data engineering to enable self-service analytics, ensure data quality and documentation, and prepare datasets to support future ML and advanced analytics.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

The AVP, Digital Portfolio Management oversees P&L for small business products, driving underwriting profitability and digital transformation through analytics, cross-functional collaboration, and strategic initiatives.