ML Engineer, RL & Autonomous Discovery

Terray Therapeutics

22h•$147,000 - $227,850

About The Position

Terray Therapeutics is seeking a ML Engineer to contribute to the automated discovery engine of our closed-loop platform. In this role, you will work to invent and scale cutting-edge systems that discover novel chemical matter and impact real programs. 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.

Requirements

Strong experience in machine learning engineering, with interest in techniques for sequential decision-making: bayesian and black-box optimization, reinforcement learning.
Ability to quickly switch between robust engineering and exploration of conceptual insights, e.g., implementation details of training on asynchronous rollouts while 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.

Nice To Haves

Experience with synthetic data for chemistry, frameworks for autonomous discovery, test-time training.

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.