Top Machine Learning Jobs in Washington, DC

The AI Product Manager will lead AI initiatives, drive technology adoption, build business cases, and coordinate with teams to enhance efficiency across various business functions.

Lead advanced analytics in care gaps and health care provider segmentation, mentor team members, and collaborate across functions to enhance healthcare insights.

The Lead Principal Engineer will oversee the development of cohesive engineering solutions across Atlassian's sales, marketing, finance, and support technology landscape, driving data-driven decision-making and mentoring engineers.

The Staff Machine Learning Engineer will design and implement ML models for document processing, risk assessment, and develop real-time ML pipelines while collaborating with platform teams to deploy scalable models.

Lead the Retailer Discovery Experience team to enhance user shopping across retailers, manage engineering strategies, and guide team development.

Lead and manage the NLP engineering team at IMO Health, driving product innovation, operational efficiency, and strategic vision for NLP and GenAI solutions in healthcare.

The VP of Content Strategy and Curriculum will lead content creation and strategy at Pluralsight, overseeing a large team and budget, ensuring high-quality, impactful technical education materials while fostering a culture of innovation and collaboration.

The Clinical Product Manager monitors clinical trends, collaborates on product features, improves AI models, and supports clinical decision-making for healthcare innovation.

The Taxonomist II role involves improving product categorization, managing taxonomy quality, partnering with ML, and conducting data analysis to enhance taxonomy structures.

The Director of Product leads the strategy and product team for capital growth in lending, focusing on meeting capital providers' needs and enhancing product offerings.

As a Senior Gen AI Software Engineer, you'll develop AI-driven solutions, architect intelligent agents, and improve workflows in collaboration with stakeholders across Liftoff.

Develop advanced machine learning models for credit risk, mentor junior data scientists, and support data-driven decision-making to enhance business profitability.

The AI Data QC Technician reviews annotated images for accuracy, communicates quality issues, and suggests improvements for data cleaning.

The Managing Consulting Engineer leads AI infrastructure projects, providing technical guidance, client relations, and managing project teams to ensure successful solution delivery.

Lead the Machine Learning team at Workiva, integrating Generative AI into products, ensuring system reliability, and fostering team development.

Lead design and implementation of perception and planning algorithms for autonomous vehicles, utilizing advanced techniques in AI and software development. Collaborate with interdisciplinary teams for systems integration and ensure effective testing and validation processes.

Lead product management efforts at Capital One, focusing on innovative solutions and leveraging technology to drive business transformation and customer solutions.