Top Hybrid Machine Learning Engineer Jobs in Boston, MA

Lead WHOOP's strategy for transforming sensor data into real-time intelligence, managing teams, delivering features, and driving technical direction in machine learning and embedded systems.

The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision and data analysis while collaborating with team members to transition algorithms to production.

The role involves developing AI/ML models for bioprocesses, optimizing cell culture for recombinant protein production, and conducting experiments for model validation.

The Principal Data Scientist will design and develop machine learning systems, manage data pipelines, and collaborate with teams to improve products and services. This role requires significant experience in ML model deployment and communication with stakeholders.

The Senior Lead Machine Learning Engineer will design, develop, and implement machine learning systems, collaborating with teams to solve business problems using machine learning applications.

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 Senior Machine Learning Engineer will design and implement ML systems, oversee data pipelines and model management, and guide technical strategy while collaborating across teams to deliver production-ready models.

Work on prototyping and implementing audio ML algorithms for real-time applications. Present findings and integrate solutions into existing platforms. Collaborate with experts in ML and DSP.

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.