Top Machine Learning Jobs in Boston, MA

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.

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

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

As a Principal ML Engineer, you will establish the technical vision for personalization at Launch Potato and drive alignment across ML teams while solving complex challenges and mentoring engineers.

The Principal ML Engineer establishes the technical vision for personalization and designs ML solutions that drive company strategy. Responsibilities include solving ML challenges, leading cross-functional initiatives, and mentoring senior engineers.

Lead the technical vision for personalization at Launch Potato, architecting ML solutions and influencing strategy while mentoring senior engineers.

Lead the technical vision and strategy for personalization at Launch Potato, solving complex ML challenges and mentoring senior engineers.

The role involves designing and building ML applications, leading teams, and collaborating on data-intensive solutions using various technologies, while ensuring optimal performance and governance of ML systems.

The Senior Manager in ML Engineering will lead design and implementation of ML applications, optimize systems, and collaborate with cross-functional teams for data solutions.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

The Principal ML Engineer will define and lead the ML architecture and strategy, solve complex challenges, and mentor engineers across the company.

Develop machine learning models to differentiate normal and attack behaviors, collaborate with security researchers, and analyze algorithm performance.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Develop electrical system ontology for data centers, utilize monitoring tools, create anomaly detection models, and collaborate with teams on insights and strategies for optimization.