Machine Learning Engineer | $90/hr

Codefeast; United States; Remote; USD 102,000 - 146,000; Part time

Job summary

Codefeast is seeking experienced Machine Learning Engineers, AI Researchers, Simulation Developers, and Technical Game Designers for a remote contractor role in the United States. You will work on reinforcement learning environments, design and test scenarios, configure environments and rewards, and provide technical feedback on the platform.

The role emphasizes hands-on experience with simulations, RL frameworks, and analytical problem solving, with a flexible schedule and a remote interview

Qualifications

• Professional experience in ML/AI research or related roles.
• Hands-on work building simulations or RL environments.
• Familiarity with RL frameworks, agent behavior, and reward structures.

Responsibilities

• Design and build scenarios within a reinforcement learning platform.
• Configure environmental parameters, spatial constraints, and agent interaction rules.
• Define and work with reward structures.
• Test preliminary agent behavior and validate scenario setup.
• Document workflow and identify friction points.
• Share technical feedback on platform usability during a remote interview.

Skills

Machine Learning

AI Research

Simulation Development

Reinforcement Learning

RL Platforms

Tools

RL frameworks

Simulation tools

Job description

Experience: Professional Machine Learning / AI Research Experience

Job Type: Contractor

Location: United States – Remote

Schedule: Flexible

Compensation: $90/hour

Role Overview

We are looking for Machine Learning Engineers, AI Researchers, Simulation Developers, and Technical Game Designers with hands‑on experience in reinforcement learning environments and simulation design. You will build and test structured scenarios within a remote reinforcement learning platform, configure environment parameters and reward structures, and provide technical feedback on the platform and workflow.

Key Responsibilities

• Design and build scenarios within a reinforcement learning platform.
• Configure environmental parameters, spatial constraints, and agent interaction rules.
• Define and work with reward structures.
• Test preliminary agent behavior and validate scenario setup.
• Document your workflow and identify friction points.
• Share technical feedback on platform usability during a remote interview.

Key Requirements

• Professional experience in Machine Learning, AI Research, Simulation Development, or related roles.
• Hands‑on experience building simulations or reinforcement learning environments.
• Familiarity with RL frameworks, agent behavior, and reward structures.
• Strong analytical and problem‑solving skills.
• Comfortable configuring complex technical platforms and interfaces.
• Ability to clearly explain technical workflows and provide feedback during a remote interview.

Selection Process

Step 1 – Application / Profile Submission