Top AI Research Jobs in Boston, MA

Drive applied AI research (LLM post-training, RL, agentic modeling) embedded with customers. Design experiments, prototype and scale training pipelines, run customer-facing evaluations, translate research into production via partnership with engineers, and build infrastructure for distributed training to deliver measurable business value.

Lead discovery and delivery of AI-enabled clinical decision support features for UpToDate. Translate clinician and business needs into product requirements, experiments, roadmaps, and success metrics. Partner with engineering, design, clinical, content, analytics, and commercial teams to build responsible, trusted AI experiences that improve clinician workflows, adoption, and satisfaction.

Support two HGSE initiatives by designing and iterating AI-learning tools, conducting mixed-methods research on workplace learning and AI, coordinating partnerships and programs, managing user research/usability testing, maintaining training corpora, producing external communications and thought leadership, and supporting certificate program operations and partner relationships.

Lead research developing foundation models for robotics, align text reasoning with low-level control, design zero-shot generalization experiments, integrate models into robotic applications, and publish and present results at conferences.

The Principal Scientist will drive AI integration in oncology target discovery, analyze multimodal datasets, and lead cross-functional collaborations to enhance decision-making in drug development.

The Staff Research Scientist will develop AI algorithms, software simulations, and lead hardware prototyping in a collaborative research team setting.

The role involves leading AI and advanced analytics initiatives in life sciences, managing client relationships and P&L, developing strategies for growth, and contributing to the team's thought leadership while enhancing analytical models and solutions.

The Associate Director, AI Operations & Enablement leads AI strategy execution, education, and vendor management to enhance AI adoption and impact across the organization.

Conduct research at the intersection of quantum computing and AI, developing algorithms and integrating them into practical AI workflows. Responsibilities include innovation across simulation, optimization, and quantum machine learning domains.

The role involves collecting and analyzing seismic data, researching tectonics, developing seismic models, and conducting damage surveys for earthquakes.