Top Hybrid Machine Learning Engineer Jobs in Boston, MA

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

Design, develop, and deploy machine learning models and AI features. Build and optimize ML pipelines for various use cases.

The Robotics Intern will develop machine learning models for robot manipulation, run experiments, create prototypes, and publish research. Experience in robotics and programming is required.

The Senior Machine Learning Engineer will design multi-modal vision systems, optimize and deploy models, mentor junior engineers, and improve data strategies for robotic perception tasks.

The Machine Learning Scientist will build and integrate ML models, analyze data, design scalable pipelines, and ensure robust model testing.

The ML Data Engineer develops and maintains machine learning pipelines and systems, collaborating with teams to optimize manufacturing processes through data-driven insights and predictive models.