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Reinforcement Learning With Human Feedback Jobs in Colorado

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 ... Experience with PyTorch, TensorFlow, or other deep learning frameworks is required. An advanced ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Englewood, CO · On-site

$143.49 - $197.29/hr

Hands‑on experience with reinforcement learning and real‑time systems applicable to MPC. Qualifications - Prefer * Master's degree or Ph.D. in Artificial Intelligence, Machine Learning, or a ...

H2B Consulting, Inc.

AI/ML Engineer III

Englewood, CO · On-site

$165.31 - $220.42/hr

Experience with TensorFlow and PyTorch * Expertise in deep learning, reinforcement learning, generative AI, and production machine learning systems * Experience within aerospace and defense, MLOps ...

ARKA Group

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

Aurora, CO · On-site

$155K - $200K/yr

Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning * Linux and AWS experience ... To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human ...

ARKA Group

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

Aurora, CO

$155K - $200K/yr

Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning * Linux and AWS experience ... To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human ...

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Reinforcement Learning With Human Feedback information

What is reinforcement learning with human feedback?

Reinforcement Learning with Human Feedback (RLHF) is a machine learning technique where AI agents are trained not only through automated reward signals but also by incorporating feedback from humans. This approach helps align the agent’s behavior with human preferences, values, or safety requirements by allowing humans to guide or correct the learning process. RLHF is commonly used in developing advanced AI systems, such as language models, to ensure their outputs are helpful, safe, and aligned with user expectations. The process often involves human evaluators ranking or scoring the AI's responses, which are then used to fine-tune the model’s behavior.

What collaborations are typical for a reinforcement learning with human feedback specialist within a machine learning team?

As an RLHF specialist, you often work closely with data scientists, machine learning engineers, and domain experts to design effective feedback mechanisms and reward models. Collaboration with annotation teams or subject matter experts is common, as high-quality human feedback is crucial for training robust RLHF models. You may also partner with product managers and UX researchers to ensure that the models align with user needs and ethical considerations. Regular cross-functional meetings and code reviews help maintain alignment and foster innovation across teams.

What are the key skills and qualifications needed to thrive as a reinforcement learning with human feedback engineer?

To excel as a Reinforcement Learning with Human Feedback (RLHF) Engineer, you need a strong background in machine learning, reinforcement learning theory, statistics, and typically an advanced degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like Ray RLlib), and experience with data collection and annotation systems are essential. Excellent problem-solving abilities, communication skills, and teamwork help you collaborate with researchers, data annotators, and other engineers. These skills enable you to design and implement RLHF systems that are robust, scalable, and aligned with human values.

What is the difference between Reinforcement Learning With Human Feedback vs Reinforcement Learning Engineer?

AspectReinforcement Learning With Human FeedbackReinforcement Learning Engineer
CredentialsTypically requires knowledge of machine learning, AI, and data analysisRequires similar credentials in machine learning, programming, and AI
Work EnvironmentResearch labs, AI development teams, tech companiesDevelopment teams, research labs, tech firms
Industry UsageUsed in AI training, human-in-the-loop systems, and model refinementDesigning, implementing, and optimizing reinforcement learning algorithms

Reinforcement Learning With Human Feedback focuses on improving AI models through human input, while Reinforcement Learning Engineers develop and deploy these algorithms. Both roles require strong machine learning skills and often work in similar environments, but their core responsibilities differ in application and focus.

What are popular job titles related to Reinforcement Learning With Human Feedback jobs in Colorado?

For Reinforcement Learning With Human Feedback jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Reinforcement Learning With Human Feedback jobs in Colorado look for?

The top searched job categories for Reinforcement Learning With Human Feedback jobs in Colorado are:

What cities in Colorado are hiring for Reinforcement Learning With Human Feedback jobs?

Cities in Colorado with the most Reinforcement Learning With Human Feedback job openings:

Reinforcement Learning With Human Feedback jobs near you
Infographic showing various Reinforcement Learning With Human Feedback job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, 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 3 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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