Top Machine Learning Engineer Jobs in Boston, MA

Lead a team of Machine Learning Platform Engineers, driving MLOps practices and developing machine learning solutions, ensuring integration and automation.

The Machine Learning Engineer II will develop and deploy machine learning models, conduct exploratory data analysis, and collaborate across teams to enhance product discovery for Chewy customers.

Design and develop machine learning models, oversee project execution, mentor teams, and maintain client relationships while driving innovative solutions and improvements.

The Senior Staff Machine Learning Scientist will develop AI-powered products, build ML models and pipelines at scale, and lead the applied science team in an agile environment.

The Lead Data Scientist will deliver analytical solutions using machine learning, work independently with clients, and develop ML models and infrastructure.

The Machine Learning Engineer will develop scalable ML systems, create APIs, and write production-quality code while collaborating with cross-functional teams to deliver business solutions.

The Staff Machine Learning Engineer will lead the design of ML systems, guide teams, and enhance detection capabilities in a high-impact security environment.

As a Senior Data/ML Engineer, you'll design and improve data retrieval and ranking pipelines for content discovery, running experiments and collaborating cross-functionally.

As a Senior Machine Learning Engineer, you will develop and deploy machine learning pipelines, conduct deep analyses, and mentor team members while driving innovation in clinician workflows.

The role focuses on developing LLM solutions, optimizing ML pipelines, advising data teams on architecture and tooling, and collaborating cross-functionally.

Design and implement computer vision models for 3D dental applications, focusing on generative AI and MLOps. Collaborate with research and product teams for enhancements and ensure best practices.

Develop and deploy machine learning models for biomolecule design, focusing on MLOps practices. Collaborate with cross-functional teams and manage data pipelines.

The Staff Machine Learning Engineer will design scalable ML systems and improve model performance, collaborating on architecture and MLOps strategies while ensuring code quality.

Lead the design and integration of Generative AI in Firefox. Build training infrastructure for language models and optimize performance.

As a Machine Learning Engineer, you'll develop ML models and systems, collaborate with cross-functional teams, and experiment with data-driven methods to enhance user personalization on Pinterest.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.

Design and optimize data pipelines and infrastructure for advanced analytics and machine learning solutions, collaborating with various teams to ensure efficient data flows.

The role involves developing ML pipelines for sparse, high-dimensional biological data, optimizing models for deployment, and implementing MLOps best practices.

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, and partner with cross-functional teams.

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, design experiments, and partner with various teams.