Te
Posted:
June 13, 2026
Location:
Los Angeles, California, United States
Job Description
About the Role
You'll build the learning system for autonomous trading agents — enabling the fleet to learn from its own decisions and continuously improve.
This is a production ML role (not research) focused on reinforcement learning and closed-loop systems.
Key Responsibilities
Learning System & RL Loop
- Build feedback loop from trade outcomes strategy improvement
- Develop evaluation frameworks for signals and performance
- Automate strategy generation and backtesting
- Detect market regime shifts and adapt strategies
- Implement performance attribution systems
- Manage fleet coordination (risk, capital allocation)
- Build telemetry/data infrastructure
Model & Inference
- Define and implement model hosting strategy
- Build domain-specific training pipelines
- Optimize inference for...
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Apply Now Save for LaterJob Overview
Job Type:
Full-time
Location:
Los Angeles, United States
Posted:
June 13, 2026
Deadline:
July 23, 2026