Top Machine Learning Jobs in Boston, MA

Lead the AI/ML team in developing innovative tools for the collectibles ecosystem, manage projects, mentor team members, and drive technical vision for machine learning applications.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

As a Staff Applied Machine Learning Engineer, you'll design and implement LLM applications, integrating ML features to enhance user experiences and scalable services.

Lead the development of predictive modeling and supply chain analytics, focusing on ETA prediction for transportation logistics using advanced analytics and machine learning techniques.

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.

As a Machine Learning Engineer, you will build LLM-driven automation pipelines, develop multi-turn agents for insurance, and fine-tune models using cutting-edge AI technologies.

The role involves designing, developing, testing, and deploying machine learning models, collaborating with cross-functional teams, and monitoring model performance.

Develop and implement advanced machine learning models to solve business challenges, from ideation to deployment, working collaboratively across teams.

Develop and apply machine learning models for antibody properties prediction, contribute to optimization workflows, and collaborate with experimental teams in drug discovery.

Design and implement optimizations for llama.cpp, focus on performance analysis, collaborate with open-source community, and enhance machine learning deployments.