4 open roles · refreshed hourly
AI Jobs in Denver & Boulder
The Mountain West's AI hub. Denver and Boulder offer a growing tech scene with great quality of life. Aerospace, fintech, and outdoor tech companies are hiring.
Latest roles
Latest Denver AI roles
Solutions Architect - Telco
11/3Databricks • Denver, CO
PythonSQLDistributed Data Systems+22+21+20$180k – 248k- G
AI Data Engineer I, Professional Services, Google Cloud
10/20Google • Boulder, CO
Apache SparkApache BeamJava+25+24+23$130k – 187k Solutions Architect - Communications, Media, Entertainment and Games
10/19Databricks • Denver, CO
PythonScalaJava+23+22+21$180k – 248kCybersecurity AI Forward Deployed Engineer - FDE - Consultant
10/13Accenture • Morristown +41
Claude CodeCursorGithub Copilot+30+29+28$59k – 235k
Career guide
Why Denver for AI?
Growing Tech Hub
- Fast-growing startup ecosystem
- Major tech company offices
- Aerospace and defense AI
- Strong fintech presence
- University of Colorado research
Quality of Life
- Lower cost of living than coastal cities
- Outdoor lifestyle and recreation
- Growing tech community
- Boulder startup culture
- Work-life balance focus
Denver AI Compensation
Denver AI salaries are competitive with excellent value. ML engineers earn $140k-$260k+ base, with lower cost of living than coastal hubs.
Events
Upcoming AI events in Denver
AI meetups, hackathons and conferences coming up in the area, refreshed from organizer calendars.
- Nov10Reinforcement Learning: Topic TBATue, Nov 10 · 1:30 AM UTCBoulder Data Science, Machine Learning & AI This meeting typically covers topics in reinforcement learning and multi-agent extensions. You can find below links to notes and recordings of previous meetings. Meetup Links: Recordings of Previous RL Meetings Recordings of Previous MARL Meetings Short RL Tutorials My exercise solutions and chapter notes for Sutton-Barto My MARL repository Kickoff Slides which contain other links MARL Kickoff Slides MARL Links: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches MARL Summer Course Videos MARL Slides Sutton and Barto Links: Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto Video lectures from a similar course
- Nov10Paper Group: Reverse Engineer Anything with LLMsTue, Nov 10 · 1:30 AM UTCBoulder Data Science, Machine Learning & AI Join us for a discussion on latest advancements in machine learning with : "Reverse Engineer Anything with LLMs" presented by Logan. Reverse engineering with frontier llms has blown up over the past few weeks. Social media posts showing people reverse engineering video games and smart tvs have gone viral. Now Anthropic and Open AI are banning accounts over it. We will cover everything happening with reverse engineering llms that you may want to know from traditional approaches with tools like ghidra, the REA repo, legal obstacles to using reverse engineering approaches, and how to use reverse engineering with open source llms. https://github.com/morluto/rea Silicon Valley Generative AI has two meeting formats: 1\. Paper Reading \- Every second week we meet to discuss machine learning papers\. This is a collaboration between Silicon Valley Generative AI and Boulder Data Science\. 2\. Talks \- Once a month we meet to have someone present on a topic related to generative AI\. Speakers can range from industry leaders\, researchers\, startup founders\, subject matter experts and those with an interest in a topic and would like to share\. Topics vary from technical to business focused\. They can be on how the latest in generative models work and how they can be used\, applications and adoption of generative AI\, demos of projects and startup pitches or legal and ethical topics\. The talks are meant to be inclusive and for a more general audience compared to the paper readings\. If you would like to be a speaker or suggest a paper email us @ svb.ai.paper.suggestions@gmail.com or join our new discord !!!
- Nov11From AI-Ready to AI-Reliable: Building Semantic Views and Debugging AI AnalystsWed, Nov 11 · 12:30 AM UTCDenver Data Dialogues In 2026, Datalere will host Denver Data Dialogues, an in-person networking event for data practitioners and analytics leaders featuring guest speakers, panels, catered food, and more. A reboot of our former Data Science in Colorado meetup, the series will explore real-world conversations around data strategy, architecture, AI readiness, and analytics leadership, with practical insights you can take back to work. Events are held on the second Tuesday of every month at the Washington Street Community Center. November: From AI-Ready to AI-Reliable: Building Semantic Views and Debugging AI Analysts Our November session features Datalere data engineers Gil Platt and Rob Browning. They’ll lead a hands-on, two-part look at what it takes to get trustworthy answers from AI analysts, from preparing your data to tracking down the problem when the AI gets it wrong. AI analysts promise plain-English answers from your data, but those answers are only as good as the models underneath. When a business user gets a wrong number, the cause could be anywhere between the raw data and the SQL the AI wrote. In Part 1, Gil will walk through a layered dbt project (staging, refined, and datamart) and show how to turn those models into a Snowflake semantic view that an AI analyst can query. He’ll do this in a live demo on synthetic data, going from source all the way to a working semantic view. In Part 2, Rob will pick up where Gil leaves off by deliberately breaking the semantic view Gil just built. He’ll then work through a four-step framework for debugging AI output, checking the generated SQL, the semantic view, the dbt model, and the raw data in turn, and fix the problem live. You’ll leave with a clear picture of what “AI-ready” means in practice and a repeatable method for diagnosing bad AI answers. No deep dbt or Snowflake expertise is required. As always, there will be time for discussion and Q&A. We can’t wait to see you there! About the Speakers
- Nov17Reinforcement Learning: Topic TBATue, Nov 17 · 1:30 AM UTCBoulder Data Science, Machine Learning & AI This meeting typically covers topics in reinforcement learning and multi-agent extensions. You can find below links to notes and recordings of previous meetings. Meetup Links: Recordings of Previous RL Meetings Recordings of Previous MARL Meetings Short RL Tutorials My exercise solutions and chapter notes for Sutton-Barto My MARL repository Kickoff Slides which contain other links MARL Kickoff Slides MARL Links: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches MARL Summer Course Videos MARL Slides Sutton and Barto Links: Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto Video lectures from a similar course
- Nov18*FULL* - AI Robotics: AI in the Physical WorldWed, Nov 18 · 12:45 AM UTCRocky Mountain AI Interest Group RMAIIG \\\\ AT CAPACITY - REGISTRATIONS CLOSED \\\\ The Rocky Mountain AI Interest Group (RMAIIG) will host an in-person meeting in Boulder on Tuesday, November 17th, at 5:45 pm MT on “AI Robotics” What happens when artificial intelligence moves beyond the screen and into the physical world? Explore the rapidly evolving world of AI robotics, where advances in AI are giving robots remarkable new abilities to see, understand, communicate, and interact with the world. Join robotics companies, researchers, and innovators for live demonstrations, hands-on experiences, and presentations featuring humanoid robots, robot dogs, and autonomous machines. Join us for an exciting evening of AI robotics, featuring live robot demonstrations, fascinating presentations, networking, and free pizza! Sampling of Demos You'll See: Luke Phillips from CU Boulder will demonstrate the SO-101 Robotic Arm! Watch a robotic arm perform tasks like stacking cubes. Luke will show how the SO-101 uses a technique called Ordered Action Tokenization to control its movements and perform different tasks. Jered Dean with LUCI demonstrates A Safety Layer for Mobile Robots. As robots move into hospitals, airports, and homes, they need to operate safely around people. LUCI uses the same sensor and safety technology that protects wheelchair users. Attendees can interact with it and see how it detects its surroundings and responds in real time. Daniel Ritchie presents Say Hello to Reachy Mini! Reachy Mini is back! Last year, RMAIIG attendees got a sneak peek at this robot before it entered production. Now the technology has advanced considerably, and Reachy Mini is being used more widely. Come meet this interactive robot and have a conversation. Craig Mak presents Robosharks! Meet the Boulder High School robotics team designing and building underwater robotic submarines and floating devices! These robots can be
- Nov24Reinforcement Learning: Topic TBATue, Nov 24 · 1:30 AM UTCBoulder Data Science, Machine Learning & AI This meeting typically covers topics in reinforcement learning and multi-agent extensions. You can find below links to notes and recordings of previous meetings. Meetup Links: Recordings of Previous RL Meetings Recordings of Previous MARL Meetings Short RL Tutorials My exercise solutions and chapter notes for Sutton-Barto My MARL repository Kickoff Slides which contain other links MARL Kickoff Slides MARL Links: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches MARL Summer Course Videos MARL Slides Sutton and Barto Links: Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto Video lectures from a similar course
- Dec1Reinforcement Learning: Topic TBATue, Dec 1 · 1:30 AM UTCBoulder Data Science, Machine Learning & AI This meeting typically covers topics in reinforcement learning and multi-agent extensions. You can find below links to notes and recordings of previous meetings. Meetup Links: Recordings of Previous RL Meetings Recordings of Previous MARL Meetings Short RL Tutorials My exercise solutions and chapter notes for Sutton-Barto My MARL repository Kickoff Slides which contain other links MARL Kickoff Slides MARL Links: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches MARL Summer Course Videos MARL Slides Sutton and Barto Links: Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto Video lectures from a similar course
- Dec8Reinforcement Learning: Topic TBATue, Dec 8 · 1:30 AM UTCBoulder Data Science, Machine Learning & AI This meeting typically covers topics in reinforcement learning and multi-agent extensions. You can find below links to notes and recordings of previous meetings. Meetup Links: Recordings of Previous RL Meetings Recordings of Previous MARL Meetings Short RL Tutorials My exercise solutions and chapter notes for Sutton-Barto My MARL repository Kickoff Slides which contain other links MARL Kickoff Slides MARL Links: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches MARL Summer Course Videos MARL Slides Sutton and Barto Links: Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto Video lectures from a similar course
- Dec15Reinforcement Learning: Topic TBATue, Dec 15 · 1:30 AM UTCBoulder Data Science, Machine Learning & AI This meeting typically covers topics in reinforcement learning and multi-agent extensions. You can find below links to notes and recordings of previous meetings. Meetup Links: Recordings of Previous RL Meetings Recordings of Previous MARL Meetings Short RL Tutorials My exercise solutions and chapter notes for Sutton-Barto My MARL repository Kickoff Slides which contain other links MARL Kickoff Slides MARL Links: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches MARL Summer Course Videos MARL Slides Sutton and Barto Links: Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto Video lectures from a similar course
- Dec22Reinforcement Learning: Topic TBATue, Dec 22 · 1:30 AM UTCBoulder Data Science, Machine Learning & AI This meeting typically covers topics in reinforcement learning and multi-agent extensions. You can find below links to notes and recordings of previous meetings. Meetup Links: Recordings of Previous RL Meetings Recordings of Previous MARL Meetings Short RL Tutorials My exercise solutions and chapter notes for Sutton-Barto My MARL repository Kickoff Slides which contain other links MARL Kickoff Slides MARL Links: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches MARL Summer Course Videos MARL Slides Sutton and Barto Links: Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto Video lectures from a similar course
Community
Denver & Boulder AI Community & Resources
The Front Range AI scene runs from Denver enterprise practitioners to Boulder research labs, plus Silicon Flatirons policy work and NREL energy AI.
Community Groups & Meetups
- Rocky Mountain AI Interest Group (RMAIIG)
Colorado's flagship AI community with subgroups in Denver, Boulder, and Fort Collins for all experience levels.
- Boulder AI Builders
Community for 3,000+ Colorado AI product builders, alternating Boulder/Denver events every ~6 weeks.
- AI Tinkerers Denver-Boulder
Monthly hands-on meetup for AI engineers with live code demos, part of the global AI Tinkerers network.
- Denver MLOps Community
MLOps and applied AI engineering meetup for practitioners shipping AI systems in production.
Conferences & Festivals
- Silicon Flatirons Annual AI Conference
Full-day Boulder conference on AI policy, infrastructure, and responsible deployment at Colorado Law.
- Boulder Startup Week
Free entrepreneurship festival with dedicated AI/ML tracks, AI Builders Meetup, and pitch competition.
- DenAI Summit
Denver's annual AI-for-public-good summit at the Denver Art Museum — 500+ attendees.
Research Labs
- CU Boulder CAIRO Lab
Bradley Hayes's lab building human-AI teaming techniques for autonomous systems and robotics.
- NREL AI Research (ALIS Group)
Golden, CO lab applying ML, RL, and neurosymbolic AI to energy systems and power grids.
Accelerators & Ecosystem
- Techstars Boulder
The original Boulder accelerator — industry-agnostic with a CU Boulder founder pipeline partnership.
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