Top AI Research Jobs in Chicago, IL

Develop and optimize generative AI architectures for material and molecular discovery, including diffusion models, flow matching, and GFlowNets. Integrate reward signals from learned predictors and simulations, manage data ingestion and quality control, develop computational workflows, and deploy production-grade ML capabilities. Collaborate with ML researchers, computational scientists, engineering, product, and R&D teams. The role requires expertise in applied ML, scalable frameworks, cloud platforms, and material discovery, with preferred experience in active learning, Bayesian optimization, guided generation, and agentic or LLM methods.

One-year AI research fellowship for B.Tech, M.Tech, and PhD students offering a monthly stipend, research project, industry internship, computing resources, and conference support. Fellows submit resume, SOP, research proposal, and recommendations.

SynX Therapeutics, a biotech start-up, invites speculative applications for future roles related to drug discovery and engineered biology.

Join a research and advisory pipeline for an asset-management startup building an auditable reasoning engine. Advise on agentic AI, world models, interpretability, and systemic risk. Help shape research direction, identify failure modes and guardrails, and provide scholarly evidence (papers, GitHub, Google Scholar) and a short written response to demonstrate expertise.

Train and deploy manipulation policies for humanoid robots using teleoperation data. Responsibilities include VLA and imitation-learning model training, cross-embodiment foundation-model development, distributed training, evaluation through simulation and real-robot trials, dataset quality tooling, policy deployment, and failure analysis.

Develop and optimize quantum algorithms and applications for scientific and commercial impact, collaborating with partners and driving innovation.

Lead product marketing for Tribe's enterprise AI services: develop positioning, launch repeatable offerings, build partner marketing and enablement with Anthropic/OpenAI/Google, and create customer evidence and content to drive go-to-market and field adoption.

Oversee global analytics and algorithm design initiatives for a nonprofit: identify high-impact projects, coordinate with student directors, collect feedback, design and run training for developers and technical advisors, and form partnerships to support implementation. Volunteer commitment ~5-6 hours/week.

Conduct careful web and document research to develop training and benchmarking tasks for frontier AI models. Responsibilities include retrieving and verifying claims, cross-referencing academic and financial sources, tracking original sources, using research-enabled LLM tools, rapidly learning new domains, and clearly communicating reasoning, uncertainty, and findings in written and verbal formats. This is a fully remote, one-month contract requiring at least 15 hours weekly, with an expected average of 20 hours per week.

Conduct applied AI and machine learning research focused on multimodal data, foundation models, agents, evaluation, and data enrichment. Monitor research trends, prototype emerging techniques, design experiments, validate opportunities, and translate findings into briefs and recommendations. Partner with product and engineering teams to guide data strategy, training corpus generation, and longer-term opportunity prioritization.