[Hiring] Machine Learning Engineer @Terac

Role Description

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.

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
• Run preliminary agent interactions to test your setup
• 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.

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

Requirements

• 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

Benefits

• Compensation: $90 per hour

Company Description

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

Learn more at terac.com or on YouTube at @jointerac .