Top Hybrid Machine Learning Engineer Jobs in Boston, MA

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 entails managing an Agile team focused on design, development, and implementation of scalable machine learning applications while ensuring architecture performance and model governance.

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.

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

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.

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

Design, develop, and deploy machine learning models and AI features. Build and optimize ML pipelines for various use cases.

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