Top Hybrid Machine Learning Engineer Jobs in Boston, MA

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 Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

As a Senior Associate in the Financial Crime Unit, you will leverage SQL and Python to analyze complex datasets, applying machine learning and NLP to enhance detection of financial crimes while mentoring junior team members.

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

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

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

The engineer will train, evaluate, and deploy ML models for understanding driving environments, focusing on motion prediction and planning for autonomous vehicles.

The role involves leading machine learning initiatives to enhance automated testing for autonomous vehicles, improve model interpretability, and collaborate with cross-functional teams.

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.