Top Machine Learning Engineer Jobs in Boston, MA

Lead the design and implementation of advanced AI/ML models to detect and prevent fraud in a risk management context. Collaborate across teams to enhance system effectiveness and provide mentorship in AI/ML practices.

The role involves developing and optimizing ML cloud infrastructure, ensuring scalable deployment of machine learning models, and collaborating with data science teams.

The Senior ML Platform Engineer will architect and maintain scalable ML infrastructure, develop MLOps platforms, implement CI/CD pipelines, and collaborate with cross-functional teams to enhance AI deployment.

The role involves designing and developing personalized machine learning systems at scale, collaborating with a cross-functional team, prototyping solutions, and driving optimization.

Develop and maintain distributed inference infrastructure, optimize performance for large-scale AI deployments, and mentor team members to foster innovation.

The Machine Learning Engineer will design and implement ML pipelines, optimize models, and develop AI applications while collaborating with cross-functional teams to enhance analytics solutions in the insurance domain.

The role involves improving Python development workflows, leading projects across teams, mentoring engineers, and enhancing developer productivity using various tools and systems.

The role involves enhancing developer tools for GM's AV engineers, addressing pain points, and mentoring team members to improve productivity and maintain quality code efficiency.

Design, develop, and deploy scalable ML software systems for healthcare. Collaborate with teams to improve products and ensure performance and reliability.

Develop and train advanced generative models for synthetic data generation to enhance Zoox's autonomous driving capabilities. Collaborate across teams and validate models using real-world scenarios.

As a Machine Learning Engineer, you will develop and deploy AI and GenAI models, collaborate with business teams, and improve solution performance through data analysis.

As a Sensor Intelligence Engineer, you will design and optimize machine learning algorithms for embedded devices, enhancing diagnostic tools and ensuring accurate physiological data analysis.

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.

The Machine Learning Engineer develops ML models, performs feature engineering, conducts model evaluation and optimization, and collaborates with teams.

The role involves building awareness of technologies, mentoring talent, promoting a culture of engineering excellence, and collaborating on critical business issues.

Lead the development of AI-powered systems at Capital One, collaborating with cross-functional teams to deliver innovative machine learning solutions and optimize data pipelines.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

The AI/ML Engineer role involves developing machine learning models, analyzing complex biological data, and collaborating with experts to generate insights. Candidates should have experience in deep learning, software engineering, and high-performance computing.

Responsible for designing and deploying large-scale machine learning systems, optimizing performance, collaborating with cross-functional teams, and ensuring safe and responsible AI practices.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

As a Senior Machine Learning Engineer in Risk AI/ML, you will lead model strategy and design sophisticated systems to prevent fraud while mentoring junior engineers.

Lead the Content Engineering team, defining technical strategies and architecture while driving large-scale ML projects and ensuring Trust capabilities on the Pinterest platform.

As a Staff Machine Learning Engineer, you will develop, productionize, and deploy ML models for clinical use, ensuring real-world effectiveness through hands-on coding and infrastructure building.

The Machine Learning Engineer will design, train, and evaluate computer vision models, collaborate on engineering improvements, and deploy ML systems for surgical workflows.

Responsible for the end-to-end lifecycle of machine learning systems including design, training, deployment, and MLOps best practices implementation.