Terac
1 - 10 employees
Founded 2025
🤖 Artificial Intelligence
🤝 B2B
Artificial Intelligence • B2B • Market Research
Terac is automating market research by sourcing participants, conducting interviews, and analyzing results in hours rather than weeks. Utilizing advanced AI technology, it enables companies to gain deep insights through interviews with a diverse audience. Terac emphasizes efficiency and speed in delivering comprehensive market research solutions, making it an invaluable tool for businesses seeking rapid feedback and data-driven decision-making.
Machine Learning Engineer – Scenario Building, Reinforcement Learning
Job not on LinkedIn
🔥 15 hours ago
🇺🇸 United States – Remote
💵 $90 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
👻 Ghost score 0%
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Terac
1 - 10 employees
Founded 2025
🤖 Artificial Intelligence
🤝 B2B
Artificial Intelligence • B2B • Market Research
Terac is automating market research by sourcing participants, conducting interviews, and analyzing results in hours rather than weeks. Utilizing advanced AI technology, it enables companies to gain deep insights through interviews with a diverse audience. Terac emphasizes efficiency and speed in delivering comprehensive market research solutions, making it an invaluable tool for businesses seeking rapid feedback and data-driven decision-making.
📋 Description
• 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 scenario structure • Document workflow and note friction points encountered while structuring the environment • Walk through workflow and highlight areas for platform improvement • Participate in an interview to share feedback on the platform's overall usability
🎯 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 • Candidates should be highly comfortable configuring complex platform interfaces and defining structured agent scenarios
🏖️ Benefits
• Paid interview • Compensation of $90 per hour
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