Machine Learning Engineer

Codefeast
United StatesContractPosted Sep 18, 2026

About the role

Machine Learning Engineers: Scenario Building for Reinforcement Learning

What We're Researching

We're hiring AI researchers and machine learning engineers to participate in building worlds within a reinforcement learning platform. This work directly influences how agents interact with complex, simulated environments during their training cycles. Your technical expertise will help us refine the tools and interfaces used to create robust testing scenarios.

How It Works

You will connect to our remote platform to design and construct specific scenarios for reinforcement learning agents. Throughout the session, you will configure environmental parameters, define spatial constraints, and run preliminary agent interactions to test your setup. You will document your workflow and note any friction points encountered while structuring the environment. Finally, you will participate in an interview to share your feedback on the platform's overall usability.

Who This Is For

This study targets professionals with hands-on experience in simulation design and reinforcement learning environments. We welcome machine learning engineers, AI researchers, simulation developers, and technical game designers accustomed to RL frameworks. Candidates should be highly comfortable configuring complex platform interfaces and defining structured agent scenarios.

What You'll Do

Design and build specific scenarios within a remote reinforcement learning platform

Configure environmental parameters and define agent interaction rules

Test initial agent behaviors to validate your scenario structure

Walk us through your workflow and highlight areas for platform improvement

Who Should Apply

Professional experience in machine learning or artificial intelligence research

Hands-on background in building simulations or reinforcement learning environments

Familiarity with configuring platform interfaces and defining reward structures

Comfortable articulating technical feedback during a remote interview

Contract & Payment Terms

You will be engaged as an independent contractor.

This is a fully remote opportunity that can be completed on your own schedule.

Opportunities can be extended, shortened, or concluded early depending on needs and performance.

Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.

Payments are processed weekly based on services rendered.

We are unable to support H1-B or STEM OPT candidates at this time.

Responsibilities

  • Design and build specific scenarios within a remote reinforcement learning platform
  • Configure environmental parameters and define agent interaction rules
  • Test initial agent behaviors to validate your scenario structure
  • Walk us through your workflow and highlight areas for platform improvement

Qualifications

  • Professional experience in machine learning or artificial intelligence research
  • Hands-on background in building simulations or reinforcement learning environments
  • Familiarity with configuring platform interfaces and defining reward structures
  • Comfortable articulating technical feedback during a remote interview

Benefits

  • Fully remote opportunity
  • Flexible schedule
  • Weekly payments based on services rendered

Skills mentioned

Machine LearningReinforcement LearningDeep LearningPythonModel EvaluationSoftware TestingData ScienceSystems EngineeringRoboticsStatistical Modeling

About Codefeast

Empowering Businesses with the Right Talent – Contract or Permanent, We Deliver. We specialize in building agile teams for the modern workplace. Whether you need on-demand contract developers or long-term hires, Codefeast provides talent solutions that adapt to your needs. Flexible, reliable, and future-ready — that’s how we empower your business growth

Outsourcing and Offshoring Consulting51-200 employeesWilmington, Delaware