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Reinforcement Learning Engineer Jobs in Colorado

Sierra Nevada Corporation

Sr AI/ML Engineer

Highlands Ranch, CO · On-site

$102K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Hands-on experience with reinforcement learning and real-time systems applicable to MPC.

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Hands-on experience with reinforcement learning and real-time systems applicable to MPC.

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Hands-on experience with reinforcement learning and real-time systems applicable to MPC.

Sierra Nevada Corporation

Sr AI/ML Engineer

Longmont, CO · On-site

$103K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Hands-on experience with reinforcement learning and real-time systems applicable to MPC.

Sierra Nevada Corporation

Sr AI/ML Engineer

Highlands Ranch, CO · On-site

$143.49 - $197.29/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience with reinforcement learning and real-time systems applicable to MPC ... Familiarity with Agile/DevOps methodologies for software development.* Certifications in AI/ML or ...

H2B Consulting, Inc.

AI/ML Engineer III

Englewood, CO · On-site

$165.31 - $220.42/hr

H2B Consulting is seeking an AI/ML Engineer III for a 4-month onsite contract in Englewood, CO. In ... Expertise in deep learning, reinforcement learning, generative AI, and production machine learning ...

New

Toyon

Deep Learning Algorithm Developer

Fort Collins, CO

$100K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Toyon has openings for researchers and developers to solve challenging real-world problems using ... Experience in Reinforcement Learning (RL), Computer Vision, or Natural Language Processing (NLP) is ...

Sierra Nevada Corporation

AI/ML Engineer III

Englewood, CO · On-site

$124.77 - $171.56/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an AI/ML Engineer III, you will be the primary driver for AI/ML projects focused on autonomy ... reinforcement learning systems, and generative AI algorithms. * Architect scalable AI/ML systems ...

New

Sierra Nevada Corporation

AI/ML Engineer III

Highlands Ranch, CO · On-site

$124.77 - $171.56/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

## AI/ML Engineer IIIApplyremote type: In officelocations: Lone Tree, COtime type: Full timeposted on ... Experience with at least one reinforcement learning or generative AI model (e.g., implementing GANs ...

Cymertek Corporation

AI/ML Engineer

Aurora, CO · On-site

Cymertek Corporation is seeking a passionate and innovative AI/ML Engineer to join their team and ... reinforcement learning • Familiarity with generative AI models • Experience in edge AI ...

CACI International, Inc.

Staff AI/ML Engineer

Aurora, CO · On-site

$98K - $206K/yr

  • Medical

  • Retirement

  • PTO

Job Title: Staff AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance ... Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning * Linux and AWS experience

CACI

Staff AI/ML Engineer with Security Clearance

Aurora, CO · On-site

$98K - $206K/yr

  • Medical

  • Retirement

  • PTO

Job Title: Staff AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance ... Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning * Linux and AWS experience

CACI International, Inc.

AI/ML Engineer

Aurora, CO · On-site

  • Medical

  • Retirement

  • PTO

AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS ... Reinforcement learning and familiarity with OpenAI Gym, RLlib, and Stable Baselines * Applying ...

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Showing results 21-40

All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Colorado

Reinforcement Learning Engineer information

See Colorado salary details

$40K

$121.8K

$201.4K

How much do reinforcement learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for reinforcement learning engineer in Colorado is $121,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $159,300.00 per year, depending on experience, location, and employer.

What is a reinforcement learning engineer?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are some common challenges faced by reinforcement learning engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

What are the key skills and qualifications needed to thrive as a reinforcement learning engineer, and why are they important?

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What is the difference between Reinforcement Learning Engineer vs Machine Learning Engineer?

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

What are popular job titles related to Reinforcement Learning Engineer jobs in Colorado?

For Reinforcement Learning Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Reinforcement Learning Engineer jobs in Colorado look for?

The top searched job categories for Reinforcement Learning Engineer jobs in Colorado are:

What cities in Colorado are hiring for Reinforcement Learning Engineer jobs?

Cities in Colorado with the most Reinforcement Learning Engineer job openings:

Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Colorado as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $121,834 per year, or $58.6 per hour.

Sr AI/ML Engineer

Sierra Nevada Corporation

Highlands Ranch, CO • On-site

$102K - $141K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

17th of 72 rated aerospace companies

Job description

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading the development of complex AI/ML systems, driving innovation, and mentoring team members to deliver impactful solutions. In this role, you will oversee the design, implementation, and deployment of scalable AI/ML models for mission-critical aerospace and defense applications. You will also act as a technical leader, providing strategic guidance on AI/ML initiatives, ensuring compliance with regulatory standards, and collaborating with stakeholders to meet organizational objectives. This position demands advanced technical expertise and the ability to manage high-impact projects in a fast-paced environment.
As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.
Responsibilities:
  • Exploration & Innovation:
    • Conduct continuous discovery and hypothesis-driven experimentation, rapidly developing prototypes to assess feasibility and potential impact.
    • Partner with business stakeholders to translate non-technical requirements into actionable AI/ML exploration paths.
  • RAG-Focused AI/ML Development:
    • Develop and prototype RAG-based architectures, including embedding pipelines, retrieval strategies, and transformer-based generative components.
    • Explore and validate new approaches for retrieval, indexing, and multimodal document understanding.
    • Apply validation, safety, and explainability practices in support of aerospace/defense requirements.
  • MPC & Real-Time Decisioning Exploration:
    • Design and prototype MPC-aligned models incorporating predictive modeling, optimization, and reinforcement-learning-based control.
    • Develop signal processing, perception, and planning pipelines supporting MPC control loops.
    • Use GPU acceleration, simulation environments, and HPC resources to support MPC experimentation.
  • Advanced AI/ML Modeling & Technical Leadership:
    • Architect, train, and optimize advanced models including transformers, GANs, RL agents, and real-time systems.
    • Provide technical leadership, mentor engineers, and guide cross-functional teams.
  • Safety, Validation & Integration Support:
    • Develop validation and testing frameworks ensuring compliance with safety and reliability standards.
    • Support integration teams with prototypes, documentation, and technical insights as required.

Qualifications You Must Have:
  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
  • 10+ years of experience in a related field.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 12 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques, including supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic). Demonstrated ability to design and optimize generative AI models (e.g., transformers) and neural networks for complex applications.
  • Extensive experience architecting, deploying, and optimizing AI/ML systems, including ANNs, CNNs, and RNNs, in large-scale or mission-critical environments. Led efforts to improve model performance and reliability in production settings.
  • Strong proficiency in programming languages such as Python, C++, C# or Java, with experience in building scalable AI/ML systems.
  • Demonstrated experience leading teams or projects, including mentoring junior staff.
  • Proven track record of deploying AI/ML models in production environments and optimizing them for real-world use cases.
  • Knowledge of regulatory and cybersecurity requirements for AI/ML systems in aerospace and defense applications.
  • Experience designing and optimizing generative AI models including transformers and GANs.
  • Experience building or integrating transformer-based models for retrieval-augmented or hybrid reasoning systems.
  • Proficiency designing embedding, retrieval, or indexing pipelines for large, multi-source datasets.
  • Familiarity with explainable AI (XAI) techniques for safety-critical environments.
  • Hands-on experience with reinforcement learning and real-time systems applicable to MPC.

Qualifications We Prefer:
  • Master's degree + additional years experience, or Ph.D. in Artificial Intelligence, Machine Learning, or a related field.
  • Experience with hardware acceleration technologies (e.g., CUDA, TensorRT) and high-performance computing systems.
  • Background in autonomous systems, robotics, or sensor fusion.
  • Familiarity with Agile/DevOps methodologies for software development.
  • Certifications in AI/ML or related fields, such as AWS Certified Machine Learning Specialty or Google Professional Machine Learning Engineer.
  • Deep understanding and practical application of Agile/DevOps in large-scale AI/ML projects.
  • Demonstrated experience with reinforcement learning and generative AI models in production or research settings.
  • Advanced proficiency in GPU programming, parallel/distributed computing, and optimizing ML workloads for performance.
  • Expertise in designing and implementing complex ML pipelines, including clustering, dimensionality reduction, generative modeling, and reinforcement learning, aligned to mission objectives and HMI systems.
  • Skilled in analyzing massive, multi-source datasets and delivering end-to-end autonomy software solutions, from requirements to deployment and maintenance.
  • Working knowledge of hardware acceleration technologies (CUDA, TensorRT), edge AI deployments, and explainable AI (XAI) methods.
  • Exposure to or interest in quantum computing for ML applications.

Essential Functions:
  • Contribute to AI/ML innovation and prototyping projects from exploration through technical feasibility assessment.
  • Support cross-functional engineering teams and integration efforts as needed.
  • Travel occasionally (10-20%) to customer sites, test facilities, or conferences.
  • Work in a hybrid office environment, balancing hands-on research with technical leadership.
  • Ensure compliance with safety, regulatory, and cybersecurity standards for AI/ML systems.

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.
Estimated Starting Salary Range: $143,487.14 - $197,294.82. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.
SNC offers annual incentive pay based upon performance that is commensurate with the level of the position.
SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.
IMPORTANT NOTICE:
This position requires the ability to obtain and maintain a Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use.
Learn more about the background check process for Security Clearances.
SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!
SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.

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