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Ai Reinforcement Learning Jobs in Colorado (NOW HIRING)

Toyon

Deep Learning Algorithm Developer

Fort Collins, CO · On-site

$100K - $190K/yr

Experience in Reinforcement Learning (RL), Computer Vision, or Natural Language Processing (NLP) is desired for current openings. Our researchers apply AI/ML techniques to develop data processing ...

asrcfh

AI/ML Software Engineer

Colorado Springs, CO

Familiarity in a variety of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning * Experience with programming in Python, R, or other ...

asrcfh

AI/ML Software Engineer

Colorado Springs, CO · On-site

Familiarity in a variety of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning * Experience with programming in Python, R, or other ...

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 ...

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

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Ai Reinforcement Learning information

What is AI reinforcement learning?

AI reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment. The agent receives feedback in the form of rewards or penalties based on its actions, which it uses to improve its future performance. Reinforcement learning is widely used in applications such as robotics, game playing, recommendation systems, and autonomous vehicles. Unlike supervised learning, RL doesn't require labeled input/output pairs and learns through trial and error.

What are the key skills and qualifications needed to thrive as an AI reinforcement learning specialist?

To thrive as an AI Reinforcement Learning Specialist, you need strong expertise in machine learning, deep learning, and mathematics, usually backed by a degree in computer science, engineering, or a related field. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with RL-specific libraries like OpenAI Gym are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are essential soft skills for excelling in this role. These skills and qualifications are crucial for developing, optimizing, and deploying RL algorithms that solve complex, real-world problems.

What are some common challenges faced by AI reinforcement learning specialists when deploying models in real-world applications?

AI Reinforcement Learning (RL) specialists often encounter challenges such as ensuring the reliability and safety of RL agents outside of controlled environments. Real-world data can be noisy and unpredictable, making it difficult for models trained in simulations to generalize. Additionally, RL algorithms typically require significant computational resources and time for training, which can be a constraint in fast-paced projects. Collaboration with domain experts and software engineers is essential to adapt algorithms to production systems and continuously monitor performance for unexpected behaviors.

What is the difference between Ai Reinforcement Learning vs Data Scientist?

AspectAi Reinforcement LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of algorithmsDegree in Statistics, Data Science, or related fields; programming skills
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, data analysis teams, consulting firms
Industry UsageAI product development, autonomous systems, roboticsBusiness insights, predictive modeling, data analysis
Common Search/ComparisonYesYes

Ai Reinforcement Learning focuses on developing algorithms that enable machines to learn through trial and error to make decisions. Data Scientists analyze data to extract insights and build predictive models. While both roles require programming skills and a background in data or algorithms, reinforcement learning specialists primarily work on AI systems that learn from interactions, whereas Data Scientists focus on interpreting data to inform business decisions.

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

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

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

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

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

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

Ai Reinforcement Learning jobs near you
Infographic showing various Ai Reinforcement Learning job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Deep Learning Algorithm Developer

Toyon

Fort Collins, CO • On-site

$100K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

Description

U.S. Citizenship is Required. Ability to qualify for a US Department of Defense security clearance required.


This position is in-person.  


Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Reinforcement Learning (RL), Computer Vision, or Natural Language Processing (NLP) is desired for current openings. Our researchers apply AI/ML techniques to develop data processing automation and control solutions for problems in remote sensing, video-based tracking, low-shot classification, 3D reconstruction, NLP, and other application areas including platform control.


Requirements

Candidates for the Deep Learning Algorithm Developer position should have a strong background in engineering, computer science, physics, and/or mathematics. Experience with PyTorch, TensorFlow, or other deep learning frameworks is required. An advanced degree (M.S./Ph.D.) or a Bachelor's degree and at least two years of industry experience are strongly desired.


WE OFFER AN EXCEPTIONAL EMPLOYEE BENEFITS PACKAGE!

  • Competitive Industry Pay
  • 100% Employer-Paid Medical Insurance Premium
  • HSA with Employer Contributions
  • Dental and Vision Coverage Options
  • Paid Holidays
  • Paid Vacation and Sick leave
  • Company Funded 401(k) and Profit Sharing Plans
  • Employee Stock Ownership Plan (ESOP)
  • Life and Disability Insurance  
  • Paid Parental Leave
  • Discretionary Bonus Eligibility

The annual pay range for the Deep Learning Algorithm Developer position is $100,000 to $190,000


The posted pay range values provide the candidate with guidance on annual base compensation for the position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related compensation, over a range of qualifications that may fit hiring objectives. Toyon Research Corporation will consider the individual candidate's education, work experience, applicable knowledge, skills and training, among other factors, when preparing an offer of employment. 


Equal Opportunity Employer including Disability and Veterans 


Applicant Privacy Notice 


Learn more about our company in our latest video, We are Toyon. 


The application window for this posting will remain open until the position is filled.   


Ref #2545-C

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