Top Machine Learning Engineer Jobs in Boston, MA

Develop and validate AI/ML models for life sciences, implement pipelines, collaborate with experts, and ensure scientifically sound solutions.

The Machine Learning Operations Engineer II enhances and maintains the cloud-hosted ML platform, writing APIs, deploying models, and collaborating with data scientists.

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.

Develop specialized software for real-world machine learning use cases, optimize system performance, and manage production environment health.

Join the Hugging Face Special Ops team to bridge AI models with hardware, design user-friendly APIs, and enhance performance and deployment efficiency.

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

The Cloud Machine Learning Engineer will build ML solutions on cloud platforms, integrate Hugging Face libraries, ensure performance, and develop robust APIs.

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.

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

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

Develop and validate advanced AI/ML models to solve challenges in life sciences, implementing pipelines for rapid iteration and high-quality solutions.

Lead the development and deployment of machine learning models in healthcare products, collaborating with product and engineering teams while influencing stakeholders and training junior staff.

The Staff Machine Learning Engineer leads the development of AI and machine learning systems, mentors teams, and ensures scalable, production-grade solutions while enhancing user engagement.

The Senior/Staff Machine Learning Engineer will design scalable data pipelines, implement ML algorithms, and work on microservice architectures for ad optimization.

As a Machine Learning Engineer, you'll design scalable data pipelines, implement ML algorithms, and collaborate with data scientists and engineers at StackAdapt.