Top Machine Learning Jobs in Boston, MA

Lead and mentor a team of data scientists and engineers in delivering personalized machine learning systems, aligning projects with business goals, and promoting best practices.

The Senior Associate analyzes complex datasets using SQL and Python to address financial crime challenges, apply machine learning, and mentor junior team members.

Lead the technical vision for Upstart's ML and simulations platform, modernizing infrastructure and mentoring a team while collaborating cross-functionally.

Manage and lead a team of Analysts, focusing on marketing measurement, optimizations, and utilizing machine learning to enhance campaign performance for clients.

The Senior Machine Learning Engineer will evaluate and apply advanced ML models, integrate with company infrastructure, and support data pipeline orchestration while focusing on autonomous vehicle technology.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

Design, build, and deliver machine learning models and components. Ensure performance and monitor models in production as part of an Agile team.

The role involves designing, developing, and supporting AI and ML products, collaborating with teams to transform risk management and deliver value to customers through technology.

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

The Staff Machine Learning Engineer will utilize AI models, mentor team members, and enhance automation solutions across Coinbase's operations, focusing on machine learning to solve complex challenges.

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.

As a Senior Machine Learning Engineer, you will design and implement scalable data and ML pipelines, collaborate with data scientists, and maintain systems for fraud and payment risk management.

Support Acute Care Informatics by developing ML/AI solutions; collaborate with clinicians to enhance clinical data analytics through algorithms and cloud technologies.

The Senior Engineer in Machine Learning will develop algorithms using machine learning techniques on biomedical datasets, prototype solutions, and collaborate with teams to ensure data quality and performance measures.

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

As a Machine Learning Engineer, you'll design and ship LLM-based solutions, collaborate across teams, and improve storytelling capabilities at scale.

As a Senior Machine Learning Engineer, you will develop and deploy ML models, advocate for responsible AI, mentor colleagues, and integrate solutions into clinical workflows.

The role involves architecting scalable ML solutions, collaborating on data processing, mentoring junior engineers, and promoting best practices in machine learning.

As a Lead Machine Learning Engineer, you'll design and scale ML infrastructure, collaborate across teams, and mentor engineers in AI and ML innovations.

The role involves developing ML algorithms for health applications, collaborating with data scientists and engineers, and deploying systems based on various data sources.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

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

Design, develop, and maintain algorithms for engineering applications, manage datasets, and implement machine learning workflows in an AI Copilot startup.

The Senior Machine Learning Engineer will design and optimize ML models, manage end-to-end ML projects, and enhance SailPoint's AI capabilities while collaborating with various teams to integrate AI features into products.

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.