ML Engineer, RL – Autonomous Discovery
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Job Description
ML Engineer contributing to automated discovery for Terray Therapeutics. Inventing and scaling systems for novel chemical discoveries in drug development.
Responsibilities:
- Contribute to RL frameworks that drive the design-make-test-analyze (DMTA) cycles
- 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
Requirements:
- Strong experience in machine learning engineering
- 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
- Experience with the challenges of complex real-world systems and scientific environments
- 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:
- fully-paid medical, dental, vision, life and disability benefits
- participation in the Company's option plan
- 3% retirement safe harbor contribution
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