Top Machine Learning Jobs in Boston, MA

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

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 Machine Learning Engineer II, you'll design, implement, and test machine learning systems, collaborating with various stakeholders to enhance predictive applications.

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 the design, development, and implementation of machine learning applications, focusing on architecture, model training, and deployment using emerging technologies.

Develop disruptive technologies for target tracking and prediction, conduct experiments, implement algorithms, and collaborate on multi-disciplinary teams.

Design and build scalable backend systems and services for AI solutions. Collaborate with cross-functional teams to enhance AI models and ensure high quality outputs.

Develop machine learning solutions for advanced sensor technology from concept to production, optimizing algorithms and models for real-world conditions.

Design, integrate, and deploy AI solutions to enhance workflows. Collaborate with teams to develop prototypes and production-ready AI applications.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.