Terac
Machine Learning Engineers: Scenario Building for Reinforcement Learning
- Confirmed live in the last 24 hours
- No salary listed
- Mid level
- Contract
- Remote · United States
- Added 1 month ago
About this role
Terac is seeking Machine Learning Engineers to design and build realistic scenarios within their remote reinforcement learning platform. You'll configure environments, test agent behaviors, and provide valuable feedback on platform usability. This role offers a chance to directly impact the development of AI training tools.
What you'll do
- Design and build scenarios within a reinforcement learning platform
- Configure environmental parameters
- Define agent interaction rules
- Test agent behaviors to validate scenarios
- Document workflow and identify areas for improvement
- Participate in a remote interview to share feedback
What they're looking for
- Machine Learning
- Reinforcement Learning
- Simulation Design
- Agent Interaction
- Technical Feedback
- Artificial Intelligence
Benefits
- Paid Interview
- Remote work
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Terac
Likely interview questions
- Describe your experience with designing and building simulations.
- What RL frameworks are you familiar with?