Top AI Research Jobs in Denver & Boulder, CO

Supports AI safety, robotics, cybersecurity, Physical AI, and advanced mobility projects. Conducts research on standards, regulations, and emerging technologies; assists with safety assurance and consulting activities; develops reports, presentations, workshops, and client deliverables; and contributes to AI safety, cybersecurity, robotics, and technology capabilities.

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 research on improving AI agent training data and evaluations. Manage and mentor research engineers, define research direction, design rigorous experiments, validate data quality, diagnose reward and grading failures, and translate findings into scalable tools, workflows, and standards. Collaborate with engineers, domain experts, and vendors while communicating technical conclusions and tradeoffs clearly.

Leads research on the economic impact of AI and technology disruption across markets, business models, and value chains. Synthesizes economic analysis, quantitative evidence, financial statements, market intelligence, and emerging signals into Gartner thought leadership and executive recommendations. The role includes client engagement, presentations, media interactions, content development, peer review, sales support, mentoring, and shaping research agendas.

Conduct research on frontier AI systems and develop datasets, experiments, prototypes, tooling, evaluation frameworks, and reinforcement learning environments. Investigate synthetic and agentic data generation, post-training, model understanding, benchmarks, and evaluation. Collaborate with research, engineering, product, and operations teams to translate findings into scalable AI applications, while contributing to technical publications, open-source work, mentorship, and the broader AI research community.

Leads development of agent evaluation systems that assess live software agents using trace data, rubrics, benchmarks, and LLM-as-a-judge techniques. Owns the evaluation platform’s full stack, creates reusable workflows and integrations, tracks emerging evaluation methods, and collaborates with data science teams. Manages and mentors engineers while promoting evaluation practices across agent-focused products.

Conduct applied AI safety research using white-box methods such as activation explainers, steering, patching, attribution, and probes. Develop, evaluate, and stress-test methods on realistic large-scale models and long-context agentic coding tasks. Own research directions, publish findings, communicate results to technical and non-technical audiences, and collaborate with frontier labs, governments, and academics.

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

Research and prototype transformer-based and graph-based foundation models using customer, transaction, and merchant data. The intern will design and train models, run rigorous experiments, evaluate results, and develop working prototypes. Responsibilities include collaborating with Product, Engineering, Analytics, and Applied Science teams to improve customer experience, operational efficiency, and business outcomes.

Conduct AI and machine learning research integrating advanced algorithms with physics-driven modeling and simulation systems. Develop reinforcement learning, multi-agent, generative, computer vision, and hybrid modeling solutions; build prototypes and AI workflows; collaborate across research, engineering, and product teams; support technical publications, presentations, invention disclosures, and patent development.