Top AI Research Jobs in Denver & Boulder, CO

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 Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

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 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.

Build first-principles performance and cost models for AI training and inference across chips, accelerators, memory, interconnects, racks, and datacenters. Evaluate architectures, validate models against benchmarks, analyze semiconductor manufacturing and packaging impacts on performance and cost, publish research, and advise clients and investors on hardware trade-offs and TCO metrics.

Lead design and implementation of domain ontologies and knowledge graphs using semantic web standards. Collaborate with clients and teammates to develop queries, visualizations, and integrations that turn complex data into actionable intelligence. Guide algorithm and system development and support classified projects requiring TS/SCI clearance.

The role involves leading technology implementation and operations, advising CIOs on AI strategy, and producing actionable insights based on market trends and data for various industries.

Verify and quality-check evaluation tasks for frontier AI models: confirm correct answers and evidence, spot and explain errors, apply skeptical verification, and communicate concise findings. Work remotely ~20 hours/week on a one-month contract (possible extension), meet delivery deadlines, and prioritize what needs deeper review versus quick resolution.

Lead development of enterprise fraud risk strategy and entity-level fraud state estimation. Design rule, model, and hybrid decisioning; translate fraud signals into actionable insights; partner with risk, operations, and product to deliver explainable, governed strategies that balance risk reduction and customer experience; communicate findings and drive production-ready analytical solutions.

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.

Lead development, deployment, and validation of advanced analytical methods (e.g., cheminformatics, computational biology, AI/ML) to inform discovery decisions, integrate tools with data infrastructure and autonomous agents, mentor junior scientists, publish research, and collaborate across Data Foundry pillars to accelerate molecule discovery.