Top Machine Learning Jobs in Washington, DC

The Head of Frontier AI will lead a machine learning team, manage AI research initiatives, and drive the strategy for deploying AI in defense technologies.

The Mission Operations Engineer Intern will support the deployment of defense technology products, engage with customers, and contribute to product development while collaborating across teams to enhance operational effectiveness.

The Staff Software Engineer in Conversion ML will design and implement ML pipelines, develop software, monitor models, and collaborate with a team of engineers.

The Federal Channel Account Manager will build and scale a Federal channel ecosystem, drive channel-originated growth, and collaborate with partners, ensuring success in the U.S. public sector.

The Senior Agentic Product Manager will lead the strategy for Agentic Managed Detection and Response, focusing on innovation, requirements gathering, and metrics development across various domains.

The Product Manager will lead the Clinical Intelligence product, focusing on improving HEDIS measure performance through stakeholder alignment and data-driven decision making.

The Director of AI/ML Engineering will lead and scale the AI/ML team, collaborating on innovative projects in machine learning, computer vision, and predictive algorithms. Responsibilities include mentoring team members, overseeing the ML lifecycle, and driving technical vision alongside senior leaders.

Manage and lead a team of Analysts, focusing on marketing measurement, optimizations, and utilizing machine learning to enhance campaign performance for clients.

As an Account Executive, you'll drive strategic sales, acquire new enterprise customers, negotiate contracts, and manage a sales pipeline for Runpod's AI infrastructure offerings.

Define and execute the vision for leveraging machine learning and analytics to personalize customer engagement. Oversee product managers, align across teams, and scale data science capabilities.

As a Senior Staff Engineer at Samsara, you will define technical strategies, lead system designs, influence engineering standards, and mentor staff engineers to build AI and ML based solutions that enhance driver safety in physical operations.

As a Director in Financial Risk Management, you'll lead analytics development, enforce risk limits, ensure model governance, and collaborate for strategic risk integration.

The Principal Product Manager will lead strategy and delivery of an AI-native platform, transforming internal products and tools, while engaging with cross-functional teams and overseeing product lifecycle.

The Mission Operations Engineer leads the deployment of Anduril products, engages with military customers, and ensures mission success through collaboration across teams, focusing on operational needs and product enhancement.

The Senior Mission Operations Engineer manages customer relationships, leads product deployment, and collaborates across teams to meet mission needs in defense technology.

Lead the development of Computer Vision and Machine Learning projects at Dandy, focusing on 3D geometric problems and automation in dental manufacturing.

Lead the development of AI-powered security products focusing on data access governance and DLP, enhancing Dropbox's capabilities for SMBs and mid-market businesses.

Lead a data science team focused on customer service excellence, utilizing analytics and machine learning to drive optimization and improve user experiences at Coinbase. The role emphasizes partnership across departments to enhance metrics and frameworks.

Lead and manage a team of engineers to develop tools and models for capacity planning, optimize infrastructure spending, and support demand growth.

As a Software Engineer at Upstart, you will develop scalable APIs for data retrieval and decisioning while collaborating with teams to enhance ML models' performance, ensuring data quality and reliability through testing.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

Lead a software engineering team managing technical execution and team development for AI solutions in the public sector, ensuring compliance and performance.

The Senior Machine Learning Engineer will evaluate and apply advanced ML models, integrate with company infrastructure, and support data pipeline orchestration while focusing on autonomous vehicle technology.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.