Top AI Research Jobs in Chicago, IL

Lead and conduct end-to-end user research for offboard autonomy software, designing studies (surveys, interviews, field studies, prototype testing), synthesizing insights, and partnering with product, design, and engineering to influence product roadmaps and improve usability for global customers. May travel ~20% to customers and sites.

10-week in-person research internship partnering with Quant Researchers to explore research ideas, build analysis tools, learn options theory and market making, and develop skills for potential conversion to a full-time Graduate Researcher role.

Lead product strategy and commercialization for AI-focused software within Internal Firm Services. Drive innovation, market and competitive analysis, TAM assessment, go-to-market planning, and portfolio management. Set strategic direction, maintain executive client relationships, mentor teams, and validate revenue potential to support investment and commercialization decisions.

Manage and coach a team of mentors to ensure delivery outcomes for ~200 AI fellows at scale. Build delivery systems, run operational cadence, lead live instruction when needed, translate field signals into curriculum changes, and partner with strategic partners to close the feedback loop between mentors, fellows, and the curriculum team.

Lead MongoDB's strategy to increase LLM and answer-engine visibility by optimizing content, structured data, and community signals. Build and scale an AEO/SEO team, implement technical information architecture (JSON-LD, knowledge graphs, RAG-friendly docs), coordinate UGC/community advocacy, evangelize AI-first content practices, and develop analytics/attribution (Share of Model, citation impact) to drive PLG acquisition.

As a Curriculum Specialist, you will maintain and enhance computer science curriculum, create instructional materials, and support teachers while ensuring quality and alignment with standards.

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.

Lead research developing AI/ML methods and closed-loop experimental workflows for autonomous nanoscale materials synthesis. Implement active learning, inverse design, and real-time multimodal data analysis; integrate edge, beamline, and HPC infrastructures; collaborate with synthesis and characterization teams; publish and guide future autonomous materials research.

Lead forward-looking research on robot learning, hardware, supply chains, and commercialization. Produce reports, forecasts, and briefings; track mobile manipulators, quadrupeds, cobots, and autonomous vehicles; assess AI, edge compute, and simulation impacts; collaborate with cross-sector analysts; support investors, OEMs, and policy stakeholders; and present findings to senior executives and clients.

Own product backlog and roadmap for knowledge and semantic platform capabilities (ontology, knowledge graph, taxonomy, metadata). Conduct discovery with internal clients, define semantic models, entity relationships, and requirements; partner with engineering, data, and AI teams to deliver reusable platform services; promote governance, data stewardship, validation, adoption, and metrics to improve semantic quality and AI-enabled product delivery.