Top Hybrid Machine Learning Engineer Jobs in Boston, MA

As a Senior Machine Learning Engineer, you will design and implement scalable data and ML pipelines, collaborate with data scientists, and maintain systems for fraud and payment risk management.

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.

Lead a team of Data Scientists and Machine Learning Engineers to develop machine learning solutions, mentor staff, and align projects with business needs, focusing on customer care improvements.

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.

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

Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.

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.

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.

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.