Top Hybrid Machine Learning Engineer Jobs in Boston, MA

Develop and scale machine learning systems to enable AI coaching, collaborate across teams for member insights, and contribute to architectural decisions.

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 an Audio Machine Learning Intern, you will develop AI-powered audio processing algorithms, prototype ML algorithms, and present findings while collaborating with experts in ML, DSP, and psychoacoustics.

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.

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 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 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.

As a Machine Learning Engineer, you will design, build, and improve ML models for Spotify's subscription services, collaborating with cross-functional teams to enhance user experience and increase subscriber retention.

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

The Senior Machine Learning Engineer will develop and optimize ML infrastructure, create data pipelines, and model orchestration ensuring data quality and performance monitoring.