Top Machine Learning Jobs in Washington, DC

The Staff Machine Learning Engineer will design scalable ML systems and improve model performance, collaborating on architecture and MLOps strategies while ensuring code quality.

Lead research for generative modeling of molecular systems at Genesis AI, driving innovation and collaboration with engineers and biochemists, while mentoring junior staff and contributing to the research community.

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, design experiments, and partner with various teams.

The internship focuses on building JS/TS libraries for machine learning, enabling models to run in-browser and fostering open-source community involvement.

The Cloud Machine Learning Engineer will build ML solutions on cloud platforms, integrate Hugging Face libraries, ensure performance, and develop robust APIs.

Develop specialized software for real-world machine learning use cases, optimize system performance, and manage production environment health.

The ML Engineer will evaluate ML models, enhance safety and realism for AI agents, and utilize cutting-edge technologies in autonomous driving.

The Senior AI/ML Engineer will design and implement AI/ML solutions on Google Cloud Platform, define architectures, develop models, and collaborate with teams.

Lead development of AI-powered workflow solutions, enhancing lab efficiency through full-stack application design, AI systems, and collaboration with cross-functional teams.

Join the Hugging Face Special Ops team to bridge AI models with hardware, design user-friendly APIs, and enhance performance and deployment efficiency.

Lead and manage a team of data scientists to develop AI-powered features that improve patient experience and financial clarity in healthcare. Collaborate with stakeholders, mentor team members, and drive AI strategy aligned with business goals.

The Sr. Data Scientist will develop and implement AI-powered features for healthcare solutions, focusing on enhancing patient experience using machine learning and large language models.

The Principal Product Manager will define product strategy, oversee metadata management, lead design initiatives, facilitate collaboration, and mentor junior managers in the life sciences sector.

Develop and optimize machine learning systems for Yahoo News, collaborating across teams to enhance product solutions and user experience.

The role involves providing AI/ML technical leadership, researching and developing AI/ML solutions, leading AI architecture designs, and serving as a liaison among various teams to scale AI initiatives for client programs. It requires expertise in advanced analytics and effective communication to manage technical solutions and enhance enterprise capabilities.

As a Senior Machine Learning Engineer, you will develop and execute ML products for ads targeting, improve models, and collaborate across teams.

Collaborate with engineers and data scientists to develop and optimize ML models for forest ecosystems using satellite imagery, ensuring maintaining production ML models and improving algorithms.