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Machine Learning Researcher Jobs in Colorado (NOW HIRING)

Nrel

AI Researcher

Golden, CO

We are seeking a researcher working at the intersection of machine learning and the physical sciences to develop AI-driven solutions for complex energy and environmental systems. This role emphasizes ...

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107.60K - $147.70K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... Proven track record of taking ML projects from research/prototype to high-scale production ...

Cisco

Principal Machine Learning Engineer

Denver, CO

$291.50K - $369.10K/yr

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

New

Lockheed Martin

$89.30K - $157.44K/yr

The Space AI Talent Center is seeking a highly skilled AI/ML Machine Learning Engineer to join a cross-functional team of experts in research, data science, software development, physics, and ...

Lockheed Martin

$108.80K - $191.82K/yr

The Space AI Talent Center is seeking a highly skilled AI/ML Machine Learning Engineer to join a cross-functional team of experts in research, data science, software development, physics, and ...

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All JobsMachine Learning Researcher JobsMachine Learning Researcher Jobs in Colorado

Machine Learning Researcher information

See Colorado salary details

$31.5K

$118.9K

$173K

How much do machine learning researcher jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning researcher in Colorado is $118,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $161,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What are some common challenges Machine Learning Researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What does a Machine Learning Researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What are the most commonly searched types of Machine Learning Researcher jobs in Colorado? The most popular types of Machine Learning Researcher jobs in Colorado are:
What are popular job titles related to Machine Learning Researcher jobs in Colorado? For Machine Learning Researcher jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Machine Learning Researcher jobs in Colorado look for? The top searched job categories for Machine Learning Researcher jobs in Colorado are:
Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in Colorado as of May 2026, with employment types broken down into 51% Full Time, 44% Part Time, and 5% Contract. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $118,929 per year, or $57.2 per hour.
Junior Machine Learning Engineer | AI/ML Gunslinger

Junior Machine Learning Engineer | AI/ML Gunslinger

Infinity Labs

Colorado Springs, CO

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

Job Title: Junior Machine Learning Engineer | AI/ML Gunslinger
Location: Colorado Springs, CO
This position is open for an AI/ML Engineer specializing in reinforcement learning (RL) and defense-related modeling and simulation. Candidates must meet the general requirements below to be considered.

Who You Are:
You wield artificial intelligence like a six-shooter, deploying machine learning algorithms with the precision of a marksman. You’re a problem solver who doesn’t flinch at complex military simulations, integrating AI with DoD frameworks to provide decision-makers with real-time insights. With a sharp mind for AI/ML and a deep understanding of simulation environments, you thrive in secure, high-stakes settings. You don’t just consume research—you apply it, innovate on it, and deploy it in real-world scenarios that shape national security.

Who We Are:
Infinity Labs is an innovation-driven company with world-class expertise in the defense and national security sectors. Infinity provides cutting-edge engineering technologies and solutions, including modeling, simulation, and analysis (MS amp;A), research and development (R amp;D), cyber operational technology, and training. Our extensive project portfolio covers a vast range of physical scales and applications, from materials and components to subsystems, platforms, and systems of systems. We integrate science and systems as part of our overall solutioning approach and we investigate advanced concepts and technologies with disruptive application potential. The sophistication of our work directly reflects the ingenuity and proficiency of our team. Our workforce shapes the future, and our employees are our greatest asset.

What You’ll Do:
  • Design, develop, and integrate machine learning models into defense simulations and real-world decision-making systems.
  • Apply a broad range of AI/ML techniques, including supervised learning, unsupervised learning, and deep learning to optimize system performance.
  • Work with large-scale datasets, developing data pipelines and feature engineering processes to support training and inference.
  • Collaborate with DoD civilians, contractors, and stakeholders to align ML solutions with mission objectives.
  • Develop high-performance, scalable AI architectures for deployment on cloud and HPC environments.
  • Optimize machine learning workflows, ensuring computational efficiency and maintainability in resource-constrained settings.
  • Build visualization tools, dashboards, and scripts to analyze model performance and interpret AI-driven insights.
  • Stay ahead of the latest advancements in AI/ML, incorporating cutting-edge research into practical applications.
  • Engage with the DoD modeling and simulation (M amp;S) community, presenting findings and collaborating on technical solutions.
  • Develop and optimize deep learning architectures, such as transformers, CNNs, and graph-based neural networks, for mission-driven applications.
  • Lead the development of custom ML libraries and toolkits to enhance AI capabilities across multiple projects.
  • Oversee the design of relational and graph-based database schemas to support large-scale AI-driven analytics.
Minimum Qualifications/What You’ll Bring:
  • Proficiency with machine learning frameworks such as PyTorch, TensorFlow, and JAX.
  • Proficiency with reinforcement learning algorithms (PPO, SAC, DQN).
  • Strong programming skills in Python and experience with ML libraries like RLlib and Gymnasium.
  • Cloud computing experience with AWS or DoD HPC environments.
  • Version control proficiency (Git, GitLab, GitHub).
Education/Credentials:
  • Bachelor's degree in Physics, Engineering, or Computer Science (STEM)
  • Project experience in AI/ML.
  • U.S. citizenship is required for consideration, as this job requires U.S. government security clearance
    • Highly Desired/Preferred - Active Secret or TS/SCI clearance
    • Acceptable - No current clearance but eligibility to obtain
​Nice to Haves:
  • 2+ years of work experience in AI/ML.
  • Hands-on experience integrating AI with modeling and simulation tools (AFSIM, MDASim).
  • Experience modifying and extending AFSIM framework capabilities.
  • Familiarity with high-level languages such as MATLAB, Simulink, or Julia.
  • Deep understanding of component-based architectures in AI/ML applications.
  • Demonstrated ability to optimize RL training pipelines for computational efficiency.
  • Advanced degree in Physics, Engineering, or Computer Science (STEM)
Physical Demands:
  • Must be able to remain in a stationary position and work on a computer for prolonged periods.
Work Environment:

Work location expectations may vary by position and business needs. Employees working virtually (if the role allows) are generally expected to remain engaged during meetings, including using video when appropriate.

  • This role is primarily performed at an Infinity Labs or customer location, where in-person collaboration is a regular part of the job. On-site presence is required approximately 80% of the time.
This job description outlines the primary responsibilities and requirements for the position but is subject to change. Other duties may be assigned as necessary.
What We Offer:
As a nationally recognized Great Place to Work® and Military Times® Best for Vets: 2025 Employer, we prioritize employee well-being and experience, fostering a culture that values dedicated teams and committed individuals. Our premier total compensation package for eligible employees includes:
  • Comprehensive health benefits encompassing medical, dental, and vision coverage.
  • Company-paid disability and life insurance
  • Generous 401(k) plan with guaranteed company contribution
  • Paid time-off options including floating holidays, personal time, parental leave, and community service opportunities.
  • Investment in employee growth and development through tuition reimbursement and discounted tuition programs with select colleges.
  • Comprehensive health benefits including medical, dental, and vision coverage.
  • Company-paid disability and life insurance.
  • Generous 401(k) plan with guaranteed company contribution.
  • Paid time-off options including floating holidays, personal time, parental leave, and community service opportunities.
  • Investment in employee growth and development through tuition reimbursement and discounted tuition programs with select colleges.
  • Perks include a convenient in-town work location with Pikes Peak views, free parking next to the building, and complimentary snacks and beverages!
In support of Colorado pay transparency laws, the estimated salary range for this position is $80,000 - $90,000. Individual pay will be determined on a wide variety of job-related factors permitted by law, such as experience and training, location, licensure and certifications, skills, budgets, and market.
Infinity Labs is an equal opportunity employer, including disability/vets.

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