Top Machine Learning Jobs in Boston, MA

As a Machine Learning Intern, you will work on advanced AI solutions, collaborate with teams to design ML systems, and analyze data to enhance user experiences at Dropbox.

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.

As a Senior to Principal Machine Learning Engineer, you'll lead the architecture and development of the Agentic AI platform, focusing on LLMs. Responsibilities include enhancing LLM performance, designing evaluation methodologies, and establishing safety protocols for LLM use.

Lead research and development of advanced machine learning solutions, optimizing large-scale infrastructure and providing technical guidance on high-impact projects.

The Machine Learning Engineer role involves designing, implementing, and deploying ML solutions, focusing on LLMs and collaboration with engineering teams.

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.

Develop and implement AI/ML solutions for healthcare claims processing, collaborating with data scientists to enhance system capabilities and automation.

Lead a team of ML engineers in developing advanced personalization systems. Balance technical leadership with hands-on model development, focusing on system architecture and improvements.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

The Principal AI/ML Software Engineer will drive ML technology strategy, lead cross-functional initiatives, and develop innovative ML solutions while guiding teams in technical vision and architecture.

As a Principal AI/ML Software Engineer, you'll lead ML technology strategy, develop innovative solutions, and influence technical decisions across the organization while guiding high-performing teams.

The Principal AI/ML Software Engineer drives ML technology strategy and innovation, develops solutions for complex problems, and leads cross-functional initiatives while shaping the technical vision and architectural frameworks for AI/ML.

Lead the design and implementation of advanced ML systems at Airbnb, mentoring engineers and shaping concepts into impactful products.

Lead the Auto-Bidding team's technical vision, optimize recommendation and forecasting systems, mentor a high-performing engineering team, and drive technical projects in ad technology.

Lead a team of Machine Learning engineers, drive technical direction, oversee large-scale ML systems and improve user experience for over 500M users.

Analyze complex datasets, build machine learning models, and collaborate with teams to deliver data-driven insights in a remote-first culture.

Develop and optimize machine learning systems for Yahoo News, collaborate with teams to enhance user experience and editorial tools.

The Principal AI/ML Software Engineer leads ML technology strategy, develops innovative ML solutions, and drives organizational technical decisions, overseeing high-performing teams.

The Principal AI/ML Software Engineer will drive ML strategy and innovation, influence technical decisions, and lead cross-functional teams to develop complex ML solutions.

As a Principal Engineer specializing in AI/ML, you'll define the technology strategy, lead cross-functional initiatives, and develop innovative ML solutions while influencing technical decisions across the organization.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

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

Develop and implement large-scale machine learning models to enhance user ad predictions and better understand user interests through data mining and collaboration with product teams.

As a Staff Machine Learning Engineer, you'll lead cross-team projects, guide teams in building scalable AI systems, and mentor engineers, leveraging expertise in diverse ML techniques.

Lead the Embeddings Platform Team, architecting and maintaining foundational ML embeddings, driving projects, and building a high-performing team to support machine learning initiatives across Reddit.