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Reinforcement Learning Engineer Jobs in Morrison, CO

Cymertek Corporation

Machine Learning Engineer

Aurora, CO Β· On-site

... unsupervised, reinforcement learning) β€’ Ability to design, implement, and optimize machine ... engineering β€’ Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google ...

Cymertek Corporation

Machine Learning Engineer

Aurora, CO Β· On-site

... unsupervised, reinforcement learning) β€’ Ability to design, implement, and optimize machine ... engineering β€’ Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google ...

Cymertek

Machine Learning Engineer

Aurora, CO Β· On-site

Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ... Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning ...

Cymertek Corporation

AI/ML Engineer

Aurora, CO Β· On-site

AI/ML Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Knowledge of reinforcement learning * Familiarity with generative AI models * Experience in edge AI ...

Cymertek

AI/ML Engineer

Aurora, CO Β· On-site

AI/ML Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Knowledge of reinforcement learning * Familiarity with generative AI models * Experience in edge AI ...

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO Β· On-site

$99K - $136K/yr

The AI/ML Engineer II is a mid-level position for individuals with professional experience in ... Implement and test basic reinforcement learning algorithms and generative models under supervision.

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO Β· On-site

$99K - $136K/yr

The AI/ML Engineer II is a mid-level position for individuals with professional experience in ... Implement and test basic reinforcement learning algorithms and generative models under supervision.

Sierra Nevada Corporation

Sr AI/ML Engineer

Englewood, CO Β· On-site

$103K - $142K/yr

Hands‑on experience with reinforcement learning and real‑time systems applicable to MPC ... Advanced proficiency in GPU programming, parallel/distributed computing, and optimizing ML ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO Β· On-site

$106K - $146K/yr

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 Β· On-site

$106K - $146K/yr

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.

H2B Consulting, Inc.

AI/ML Engineer III

Englewood, CO Β· On-site

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 ...

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All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Morrison, CO

Reinforcement Learning Engineer information

See Morrison, CO salary details

$38.6K

$117.7K

$194.5K

How much do reinforcement learning engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for reinforcement learning engineer in Morrison, CO is $117,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,300.00 and $153,900.00 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 cities near Morrison, CO are hiring for Reinforcement Learning Engineer jobs?

Cities near Morrison, CO with the most Reinforcement Learning Engineer job openings:

Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Morrison, CO as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $117,690 per year, or $56.6 per hour.

Machine Learning Engineer

Aurora, CO β€’ On-site

Cymertek Corporation
IT ServicesΒ β€’Β 11 - 50 employees
Learn more about Cymertek Corporationexternal

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes.
Responsibilities:
β€’ Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
β€’ Ability to design, implement, and optimize machine learning models and workflows
β€’ Experience working with large, complex datasets
β€’ Knowledge of data preprocessing and feature engineering
β€’ Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
β€’ Strong problem-solving skills and analytical thinking
Qualifications:
Required:
β€’ TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
β€’ Bachelor's Degree
β€’ Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
β€’ Ability to design, implement, and optimize machine learning models and workflows
β€’ Experience working with large, complex datasets
β€’ Knowledge of data preprocessing and feature engineering
β€’ Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
β€’ Strong problem-solving skills and analytical thinking
β€’ Proficiency in programming languages (e.g., Python, R, Java)
β€’ Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
β€’ Expertise in model evaluation techniques and metrics
β€’ Strong knowledge of version control tools (e.g., Git)
β€’ Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
β€’ Understanding of database technologies (e.g., SQL, NoSQL)
Preferred:
β€’ Experience with natural language processing (NLP)
β€’ Knowledge of deep learning techniques (e.g., CNNs, RNNs)
β€’ Familiarity with deployment tools (e.g., Docker, Kubernetes)
β€’ Experience with data augmentation and synthetic data generation
β€’ Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
β€’ Knowledge of edge computing and model optimization for deployment
Company:
With headquarters in Maryland, Cymertek [/'sΔ«-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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