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Artificial Intelligence Machine Learning Engineer Jobs in Boulder, CO

Cymertek Corporation

Software Engineer

Aurora, CO · On-site

... Artificial Intelligence, Machine Learning, Robotics, Game Development, Information Systems, Applied Computing, Computational Science, Human-Computer Interaction, Network Engineering, or related field ...

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Artificial Intelligence Machine Learning Engineer information

See Boulder, CO salary details

$32.7K

$133.5K

$200.7K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for artificial intelligence machine learning engineer in Boulder, CO is $133,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,300.00 and $160,800.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Boulder, CO?

For Artificial Intelligence Machine Learning Engineer jobs in Boulder, CO, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Boulder, CO look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Boulder, CO are:

What cities near Boulder, CO are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Boulder, CO with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Boulder, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $135,538 per year, or $65.2 per hour.

Senior Machine Learning Engineer

Comtech Global, Inc

Denver, CO • On-site

$126K - $166K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Machine Learning Engineer - Graph ML & Code Intelligence

Job Type: Permanent - Full Time Remote

Location: Denver, Co


Job Category: Information Technology

IR Labs is the innovation lab inside Integrated Research where small, cross‑functional squads chase outsized, industry‑defining opportunities. We operate like a funded startup—rapid sprints, bold experimentation, zero bureaucracy—backed by the global footprint and resources of a public company. Our charter is simple: turn cutting‑edge AI research into products that customers can’t imagine working without. We target the hardest problems in software and then move fast to ship solutions that create 10x impact. If you thrive on autonomy, crave world‑class technical challenges, and want to see your ideas hit production quickly, IR Labs is your launch pad. Join us and help build the future—one breakthrough at a time.

Job Description

What You’ll Do

  • Own the graph-ML roadmap end-to-end—turn research into production, balance SOTA with real-world constraints, and champion graph learning across teams.
  • Design and train modern GNNs/graph transformers; explore self-supervision, sparsity, and pretraining to lift retrieval, grounding, and reasoning.
  • Build high-performance training/inference pipelines on distributed GPUs with efficient sampling, mixed precision, and custom optimization where needed.
  • Fuse graphs with language systems to power retrieval and reasoning primitives across the product.
  • Model complex technical artifacts as graphs (e.g., code/IR or telemetry) and learn over them for analysis and optimization signals.
  • Ship low-latency, scalable graph services and APIs with streaming updates and robust SLAs.
  • Benchmark and harden sparse+dense kernels; instrument for performance, correctness, and reliability.
  • Establish ML/DataOps for large graphs (versioning, lineage, CI/CD) and embed security, privacy, and compliance by design; mentor and uplevel the team.
  • Desired Skills and Experience

What You Bring to the Table

  • 8+ years delivering production ML; 5+ years leading large-scale graph learning in production (100M–B+ edges).
  • Deep mastery of GNNs/geometric DL, graph theory, and practical graph querying.
  • Proven impact combining graphs with LLM/NLP (e.g., KG-augmented retrieval, entity linking, grounding).
  • Experience deriving graphs from complex sources (such as code/IR) for analysis, optimization, or security use cases.
  • Strong systems chops: C++/CUDA or equivalent; fluency in GPU/distributed training and performance tuning.
  • Track record building reliable pipelines and operating large data/feature stores for graph workloads.
  • Operational excellence in orchestration, containerization, observability, drift detection, and automated retraining.
  • Clear, persuasive technical leadership and mentoring across both technical and non-technical stakeholders.
  • Our job descriptions often reflect our ideal candidate. If you have a strong foundation of relevant skills and a passion for this field, we encourage you to apply, even if you don't check every box.


What We Offer

  • High Impact – Ship real features in weeks, not quarters
  • Cutting-Edge Tech – Work to solve problems no one has cracked before.
  • Remote & Flexible – Work from anywhere with a culture built on trust, autonomy, and balance.
  • Growth & Ownership – Own features end-to-end, learn rapidly, and grow with the company as we scale.
  • Top-Tier Compensation – Competitive salary, performance bonuses, equity upside, and strong benefits.
  • Team & Culture – Small, senior team that values collaboration, creativity, and building something meaningful together.
  • Medical, Dental, Vision Insurance.
  • 401k with Employer Contributions.
  • Paid Time Off & Birthday Leave.
  • Health Savings Account (HSA) Contributions with High Deductible Health Plan.
  • Short-Term/Long-Term Disability Insurance.
  • And more!


Apply