ML Engineer, RL – Autonomous Discovery

Terray Therapeutics

. Contribute to RL frameworks that drive the design-make-test-analyze (DMTA) cycles .

Posted 4/21/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $147,000 - $227,850 per yearWebsite

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

fully-paid medical, dental, vision, life and disability benefits
participation in the Company's option plan
3% retirement safe harbor contribution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learning engineeringreinforcement learningbayesian optimizationblack-box optimizationsynthetic data enginesinference infrastructureevaluation metricsdata simulationdecision-making techniquescomplex systems analysis

Soft Skills

ability to switch between engineering and explorationappreciation for elegant ideasproblem-solvingconceptual insightadaptability