Top Senior Machine Learning Engineer Jobs in Boston, MA

The Senior Machine Learning Engineer will enhance a platform for data scientists, lead ML service development, and collaborate cross-functionally to deliver AI solutions.

As a Lead/Senior Machine Learning Engineer, you'll develop AI/ML solutions, collaborate across teams, and drive data-driven strategies to enhance product development and customer value.

As a Senior Lead Machine Learning Engineer, you'll design, develop, and implement scalable ML applications, collaborating with Agile teams. Responsibilities include building ML systems, optimizing data pipelines, and ensuring the high performance of ML models.

Responsible for designing, developing, and deploying ML models to optimize supply chain processes, collaborating with cross-functional teams, and mentoring junior scientists.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

As a Senior Machine Learning Engineer, you will lead efforts in deploying ML applications, collaborate with teams to solve customer problems, and innovate AI applications.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Lead ML research and development, collaborating with engineers and clinicians to create enterprise-grade products and establish a research agenda while sharing insights through publications and presentations.

Lead the design and implementation of machine learning platforms at Yahoo, focusing on architecture, governance, and system performance while mentoring teams and influencing industry trends.

Lead machine learning strategy for Pinterest's search, focusing on indexing, query understanding, personalization, and generative approaches while mentoring junior engineers.

Develop and deploy innovative AI/ML solutions, integrate with APIs, manage infrastructure, and advance personalized pet care through data-driven technologies.

Design and implement machine learning models to improve Risk and Fraud detection systems. Lead technical strategy and partner with operations to address rapidly evolving challenges.