Top AI Jobs in Boston, MA

Lead the LLM as a Service team to innovate customer experiences, manage scalable AI infrastructure with Kubernetes, and collaborate with security teams to comply with standards.

Lead AI Engineer responsible for developing and deploying AI solutions, collaborating with cross-functional teams, and optimizing foundational AI systems.

As an Applied Researcher I, you'll develop AI foundation models, engage in applied research, and collaborate with cross-functional teams to enhance customer experiences with AI.

As a Lead AI Engineer, you will design and develop AI components, collaborate across teams, improve performance, and contribute to Capital One's AI vision.

Lead the development and deployment of AI-powered products with a focus on foundational AI systems, LLM optimization, and team collaboration to enhance user experiences in banking.

As a Senior Lead AI Engineer, you will design, develop, and optimize AI systems while collaborating with a cross-functional team to implement AI-driven products.

The Senior Lead AI Engineer will design and develop AI-driven products, enhance scalable AI systems, and collaborate with cross-functional teams.

The Applied Researcher II will develop AI foundation models, collaborate with cross-functional teams, conduct applied research, and translate complex work into business goals.

As a Senior AI Engineer, you will design, develop, and support AI components, collaborating with cross-functional teams to enhance products and leverage advanced AI technologies.

As an Applied Researcher II, you will develop AI foundation models, conduct high-impact research, and collaborate with cross-functional teams to enhance customer interactions through AI-powered products.

The role involves partnering with cross-functional teams to deliver AI-powered products, conducting applied research, and developing AI foundation models. Candidates should have experience in AI methodologies and large deep learning models.

As an Applied Researcher, you will develop AI foundation models, collaborate with cross-functional teams, and drive research to enhance customer interactions in banking.

Lead the design, development, and deployment of AI systems at Capital One, collaborating with cross-functional teams to enhance customer interactions and operational efficiency through innovative AI solutions.

As a Lead AI Engineer at Capital One, you will design and support AI software, develop LLM and optimization techniques, and collaborate with cross-functional teams to innovate AI products.

As an Applied Researcher I, you will collaborate with cross-functional teams to develop AI-powered products, conduct applied research, and enhance customer interactions in banking through innovative AI methodologies.

As an Applied Researcher II at Capital One, you will partner with cross-functional teams to deliver AI products, engage in applied research, and develop models using cutting-edge AI methodologies and tools.

Lead the development of AI-powered products, focusing on AI models and platforms to transform customer interactions at Capital One. Collaborate with cross-functional teams to design, implement, and optimize AI solutions.

The Responsible AI Lead will support local businesses on Responsible AI topics, contribute to RAI initiatives, monitor AI regulations, and promote responsible AI practices.

As an Engagement Manager, you will manage project workstreams, synthesize data, guide a team, and support client interactions while optimizing supply chain operations.

The role involves managing the Velocity Black Concierge product, collaborating with stakeholders, enhancing luxury concierge offerings, and prioritizing product development based on customer experience and business needs.

As a Software Engineer II on the AI Platform team, you'll develop backend features, build scalable services, and collaborate across teams to integrate Generative AI into WHOOP’s product offerings.

As a Senior Software Engineer on the AI Platform team, you will design and scale systems for WHOOP's Generative AI capabilities, focusing on robust backend services and tools, collaborating across teams, and mentoring junior engineers.

Develop and optimize AI models and algorithms while engineering data solutions in a collaborative environment to improve healthcare outcomes.

You will partner with cross-functional teams to deliver AI-powered products, design and develop AI software components, and introduce optimization techniques.

The Lead Machine Learning Engineer will design, develop, and deploy AI software components, collaborate with cross-functional teams, and enhance machine learning models and infrastructure.