Top Senior Machine Learning Jobs in Washington, DC

Lead Nitra's points-based rewards program, manage P&L, build partnerships, analyze customer behavior, and collaborate cross-functionally to optimize the program.

Lead and mentor a team of machine learning engineers to develop AI-driven product features, ensure production quality, and align with strategic goals.

Design and develop edge AI firmware for camera systems, ensuring accurate AI algorithms, collaborating on architecture, and mentoring engineers.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

Develop and integrate real-time AI/ML solutions for autonomous vehicles. Collaborate with teams for deployments in defense scenarios and optimize machine learning models.

The AI Strategist will develop and implement AI strategies, collaborate across departments, evaluate AI effectiveness, and lead on AI ethics and compliance.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As Senior Director of Product Management, you will guide the vision and delivery of DealCloud for Legal, enhancing its applications for law firms by collaborating with stakeholders and leading a product development team.

Lead the Content Representation Models team at Netflix, advancing media and metadata representation, ensuring production excellence in embedding pipelines, and driving cross-functional adoption of ML capabilities.

Lead complex cross-team integration projects, manage risks, establish processes, facilitate communication, and track success metrics in partnership with Product and Engineering teams.

Lead the ML and AI engineering team, strategizing and implementing AI solutions for business growth, mentoring staff, and collaborating across departments.

The Engagement Principal is responsible for the deployment of Aera solutions, managing client relationships, project delivery, and contributing to sales cycles, ensuring successful implementation and value delivery.

Seeking a machine learning engineer to build solutions for personalization, automated experimentation, predictive modeling, and content generation, impacting customer interactions.

The Senior Applications Engineer will work with research teams globally to adopt GenAI software, optimizing AI models, and providing engineering feedback on improvements for scientific research.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

You will lead and mentor engineers while driving the development of solutions for autonomous vehicles using Machine Learning and software engineering principles.

Lead the development and growth of line of credit products, establish roadmaps, ensure cross-functional collaboration, and promote a culture of continuous improvement.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

The Senior Display Media Account Manager develops and executes digital media strategies, focusing primarily on Amazon DSP, while fostering client relationships, providing analytics, and driving business growth for clients.

Manage and expand sales territory for AI-powered healthcare software, driving revenue growth and building strong relationships with hospital executives and decision-makers.

Lead multi-omics analyses in therapeutic discovery, focusing on structural biology and proteomics; develop Python solutions and communicate findings.

The Director of Business Development, Data Solutions is responsible for scaling business, managing key accounts, and building strategic partnerships, focusing on data services and analytics solutions.

Design, develop, and maintain algorithms for engineering applications, manage datasets, and implement machine learning workflows in an AI Copilot startup.