Top Machine Learning Jobs in Boston, MA

Design and develop geometry processing algorithms and simulation models, manage datasets, and enhance machine learning workflows for engineering applications.

Design and build ML features using LLMs, collaborate on technical architecture, and ensure safety and performance of deployments.

As a Machine Learning Engineer, you'll evaluate neural network quality, coordinate with researchers, manage experiments, and report results to streamline AI software development.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

As a Machine Learning Intern, you'll prototype and evaluate ML systems, collaborate with teams, and analyze large datasets to improve user experiences.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

Join Trexquant as a Global Alpha Researcher to develop trading signals, implement research, and apply machine learning for alpha discovery.

Lead and mentor ML engineers and data scientists, overseeing ML strategy and development of scalable models for healthcare applications.

As a Machine Learning Intern at Xometry, you'll design, build, and optimize machine learning models, analyze datasets, and collaborate with teams to integrate models into production systems.

The Engineering Manager, Machine Learning will lead a team focusing on 3D deep learning and computer vision, manage the ML roadmap, and implement best practices for MLOps pipelines.

As a Distinguished Machine Learning Engineer, you'll lead teams in developing and implementing scalable ML applications, mentor engineers, and drive innovation in the financial sector.

Design and build ML models, optimize data pipelines, lead teams, and support AI software components, while advancing AI capabilities for improved customer experiences.

The Senior Staff Machine Learning Engineer will develop AI-powered solutions, mentor engineers, and collaborate with cross-functional teams to enhance Airbnb's customer experience through advanced machine learning technologies.

Senior Software Engineer role focused on building AI capabilities for an engineering AGI product. Collaborate with a team to integrate cutting-edge machine learning into real-world engineering systems and shape product design.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

Lead enterprise-scale AI/ML strategy and architecture, develop novel ML solutions for complex problems, guide organization-wide ML practices and standards, influence technical decisions, and build and lead high-performing cross-functional ML teams to drive innovation and business impact.

As a Machine Learning Research Engineer, you'll create critical AI features for the Archie product, collaborating with experts and transitioning AI prototypes into real-world applications. You'll develop AI tools for engineering design and work closely with research scientists.

The Director of Machine Learning Engineering is responsible for leading AI strategy, overseeing ML solutions, driving innovation, building teams, and ensuring operational excellence in ML systems.

As a Principal Machine Learning Engineer, you will develop distributed inference infrastructure, integrate with vLLM, and optimize inference workloads, mentoring fellow engineers along the way.

The Principal Machine Learning Engineer will develop optimization algorithms, enhance LLM deployments, and collaborate with research teams on model performance and compression.

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

Design and develop scalable ML systems for healthcare, collaborating with teams to enhance products and maintain efficient infrastructures.