Machine Learning Engineers: Scenario Building for Reinforcement Learning

Terac

3d•$90•Remote

About The Position

We are seeking AI researchers and machine learning engineers to join our team in building simulated environments for a reinforcement learning platform. This role is crucial in shaping how agents train and interact within complex, simulated worlds. Your contributions will directly impact the refinement of tools and interfaces used for creating effective testing scenarios.

Requirements

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.

Nice To Haves

Experience with RL frameworks.
Technical expertise in refining tools and interfaces for creating robust testing scenarios.

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.
Document your workflow and note any friction points encountered while structuring the environment.
Participate in an interview to share your feedback on the platform's overall usability.