Ml Engineer, Rl & Autonomous Discovery

Terray Therapeutics Inc

Remote
$147,000 - 227,850 (annually); bonus/equity: pyrti...
Remote
Reinforcement learning frameworks
Synthetic data engines
Inference infrastructure
Contribute to RL frameworks that drive the design-make-test-analyze (DMTA) cycles that power our EMMI platform, which coordinates a closed-loop between a highly automated lab and our reward models

Job Summary

  • Contribute to RL frameworks that drive the design-make-test-analyze (DMTA) cycles that power our EMMI platform, which coordinates a closed-loop between a highly automated lab and our reward models.
  • Develop synthetic data engines and the inference infrastructure needed to simulate environments for large-scale training.
  • Terray Therapeutics is seeking a ML Engineer to contribute to the automated discovery engine of our closed-loop platform.

Matching Summary

Contribute to RL frameworks that drive the design-make-test-analyze (DMTA) cycles that power our EMMI platform, which coordinates a closed-loop between a highly automated lab and our reward models.

Salary

$147,000 - 227,850 (annually); Bonus/Equity: participation in the Company's option plan; Benefits: 3% retirement safe harbor contribution; fully-paid medical, dental, vision, life and disability benefits and much more.

Skills & Requirements

Must-have

  • Reinforcement learning frameworks
  • Synthetic data engines
  • Inference infrastructure
  • Real-world systems challenges
  • Expensive queries
  • Experimental noise

Nice-to-have

  • Autonomous discovery frameworks
  • Test-time training
  • Hands-on work environment
  • Creative and engaged culture

Key Requirements

  • Machine learning engineering experience
  • Sequential decision-making techniques
  • Bayesian and black-box optimization
  • Reinforcement learning
  • Experience with complex real-world systems
  • Scientific environments

Work Rights

Not specified

Tailored Resume

Cover Letter