Top Hybrid Machine Learning Engineer Jobs in Boston, MA

Develop and scale machine learning systems for physiological signal processing. Design and train models, ensure compliance, and mentor team members while collaborating with cross-functional teams.

The role involves deploying ML models for ads, collaborating with teams to enhance solutions, and mentoring junior scientists, requiring advanced technical and communication skills.

The Senior Lead AI Engineer will develop, optimize, and support AI products, collaborating with teams to implement machine learning solutions transforming customer interactions at Capital One.

The Machine Learning Engineer will develop models to identify and prevent risky behavior in financial activities for families. Responsibilities include collaborating with teams, researching risks, and mentoring other modellers.

Lead and mentor a team of data scientists and engineers in delivering personalized machine learning systems, aligning projects with business goals, and promoting best practices.

As a Lead AI Engineer, you will design, develop, and scale backend and ML systems, mentor engineers, and collaborate to create predictive ML solutions.

As a Mapping Software Intern, you will design algorithms for machine perception, develop ML models, and collaborate with cross-functional teams on mapping initiatives.

The role involves developing ML algorithms for autonomous driving, including training models, evaluating performance, and improving behavioral models.

As a Senior Machine Learning Engineer, develop solutions for robotic perception, focusing on rare events in warehouses using cutting-edge AI and ML techniques.

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.