Machine Learning Scientist, RL & Autonomous Discovery

Position Summary

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.

Key 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.

Experience and Qualifications

• 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.

Compensation Details

• $XXX–$YYY annually, depending on experience.

About the Role

Part of Terray's success is nurtured by a hands-on work environment where everyone is accountable, vested in a vision of excellence, and actively taking part in the success of the business. Terray supports a positive work environment where employees can feel engaged, recognized, and empowered to be creative.

Qualifications

• Required Education: Bachelors Degree
• Position Type: Full time