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Reinforcement Learning Engineer Jobs in Morrison, CO

ARKA Group

Staff AI/ML Engineer (TS/SCI) {S}

Aurora, CO · On-site

$155K - $200K/yr

This position is for a Staff AI/ML Engineer looking for new challenging problems. You should have ... Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning * Linux and AWS experience

ARKA Group

Staff AI/ML Engineer (TS/SCI) {S}

Aurora, CO · On-site

$155K - $200K/yr

This position is for a Staff AI/ML Engineer looking for new challenging problems. You should have ... Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning * Linux and AWS experience

TIFIN

Staff AI Engineer

Boulder, CO · On-site

... reinforcement learning, agent harness, agent memory. • Deep proficiency in Python and modern AI frameworks. • Experience with distributed systems, cloud infrastructure (AWS/GCP/Azure), and ...

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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 Aug 21, 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.

AI/ML Engineer (TS/SCI with CI Poly) {S}

The Stratagem Group

Aurora, CO • On-site

$200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

ARKA Group L.P. ("ARKA") is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.
Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!
This is an on-site position that can be located at either our Aurora, CO or King of Prussia, PA location. In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that's of interest to you. We also offer generous relocation benefits for eligible candidates as well as consideration for sign on bonuses consistent with skills and experience levels.
Position Overview:
This position is for an AI/ML Engineer looking for new challenging problems. You will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models. Additionally, we have a team of excellent researchers and software developers who are eager to mentor and teach their craft. We have multiple positions available and welcome all experience levels!
Responsibilities:
Our ideal candidate is an AI/ML engineer with experience working in research teams prototyping and developing AI/ML algorithms. This candidate will be joining our team of AI/ML engineers and researchers to apply cutting-edge AI/ML algorithms in a variety of domains to the mission needs of our customers.
As an AI/ML Engineer, your responsibilities include:
  • Working as part of a small team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
  • Analyzing large multi-domain datasets such as images, text, and/or graph data to identify statistically relevant features to build models that provide analysts with actionable data
  • Using cloud services to train and deploy ML models
  • Reviewing relevant publications to understand and apply cutting edge concepts to defense and commercial applications
  • Writing technical documentation supporting code, program capabilities, and user-guides

Required Qualifications:
  • Effective communicator with the ability to write and present technical reports
  • Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch
  • Experience with one or more of the following:
    • Applying unsupervised and/or supervised machine learning techniques
    • Applying and/or developing algorithms based in statistical analysis
    • Analyzing large datasets and building models to perform inference
  • BS in machine learning, computer science, mathematics, or relevant fields
  • 2+ years of experience developing AI/ML applications, data science, and/or algorithm development
  • Active TS/SCI with CI Poly U.S. Government Security Clearance

Preferred Qualifications:
  • MS or PhD in machine learning, computer science, mathematics, or relevant fields
  • Experience leading an interdisciplinary team of researchers and software developers
  • Experience with any of the following AI/ML domains:
    • Large Language Models and experience identifying ways to incorporate them into new areas and applications
    • Object detection algorithms such as YOLO and Faster-RCNN
    • Natural Language Processing algorithms such as Transformers and RNNs
    • Applying Transformer-based architectures to domains in other areas outside of NLP such as computer vision
    • Generative Adversarial Networks and Variational Autoencoders
    • Reinforcement learning and familiarity with OpenAI Gym, RLlib, and Stable Baselines
    • Applying clustering algorithms and/or deep neural networks to real life problems
    • Implementing tracking & fusion and pattern-of-life algorithms
  • Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain
  • Experience with Linux
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
  • Experience with any of the following additional languages: C++, Java, and/or C#
  • Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
  • Experience with implementing tracking and fusion, and pattern-of-life algorithms
  • Experience in application deployment, virtualization, and containerization
  • Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
  • Experience shaping and writing proposals

Pay Range: $86,000 - $200,000
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
The application window will close in 270 days for this position.
Location:
This position is based out of ARKA's nature abundant Aurora, CO campus. Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20-minute drive from downtown Denver and 15-minutes to the Denver International Airport.
What We Offer:
  • Comprehensive medical/vision/dental insurance packages
  • Company contributions to qualified HSA accounts
  • 401k retirement plan with industry leading company contributions
  • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
  • 13 paid holidays
  • Upfront tuition assistance for approved degree programs
  • Annual bonus program based on company and employee performance
  • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
  • 4 weeks paid Parental Leave
  • Employee assistance program (EAP)

EHS/Environmental Requirements:
This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 40 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.
ITC & Security Clearance Requirements:
This position requires an active TS/SCI with CI Poly U.S. Government Security Clearance.
Visa Restrictions:
No visa sponsorship is available for this position.
Pre-employment Screenings:
Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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