Machine Learning Scientist, RL & Autonomous Discovery

Terray Therapeutics

7d

About The Position

Terray Therapeutics is seeking an ML Scientist with a background in reinforcement learning. In this role, you will work to invent and scale cutting-edge systems that discover novel chemical matter and impact real programs. Terray’s machine learning team affords a broad creative scope, and the opportunity to directly affect real 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.
• Applicants must have a github, proof of relevant work, or a one-page writeup of experience applying autonomous discovery to a scientific problem that is verifiable.

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.

Benefits

• Participation in the Company’s stock option plan
• 3% retirement safe harbor contribution
• Fully paid health, dental, vision insurance for our employees, spouse, partner and families
• Above-market life insurance
• Disability coverage

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed