Machine Learning Scientist, RL – Autonomous Discovery

Posted 6ds ago

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Job Description

ML Scientist at Terray Therapeutics developing systems for discovering novel chemical matter using reinforcement learning techniques. Collaborative environment with a focus on machine learning and scientific problem-solving.

Responsibilities:

  • 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.
  • Maintain rigorous evaluations to continually monitor the performance of learned policies, using large proprietary datasets collected from internal programs.

Requirements:

  • Strong experience in machine learning, with interest in techniques for sequential decision-making: bayesian and black-box optimization, reinforcement learning.
  • Experience with distributed training and inference frameworks.
  • Substantial publications (NeurIPS/ICML/AISTATS) or proven record of research contributions.
  • Ability to quickly switch between robust engineering and exploration of conceptual insights: the implementation details of training on asynchronous rollouts, and understanding why policy divergence leads to instabilities.
  • Experience with the challenges of complex real-world systems and scientific environments, such as expensive queries and experimental noise.
  • Appreciation for elegant ideas and what works in practice.
  • Only applicants with github, proof of relevant work, or a one-page writeup of experience applying autonomous discovery to a scientific problem that is verifiable will be considered.

Benefits:

  • participation in the Company’s stock option plan
  • a 3% retirement safe harbor contribution
  • fully paid health, dental, vision insurance for our employees, spouse, partner and families
  • above-market life insurance
  • disability coverage
  • meaningful support across every stage of life