Machine Learning Scientist, RL & Autonomous Discovery at Terray Therapeutics, Inc.
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Jun 29, 2026
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Jul 21, 2026
What this job asks for AI summary
This role sits within a machine learning team focused on drug discovery, with day-to-day work centered on building and scaling reinforcement learning systems that drive iterative cycles of molecular design and lab experimentation. Responsibilities include developing RL frameworks, synthetic data engines, and inference infrastructure for large-scale training, as well as maintaining evaluations of learned policies against proprietary experimental datasets. It suits researchers with a strong RL background and a track record of published or demonstrable work.
Senior level · Remote · Full-time
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 20,500 people nationally plausibly meet what this posting asks for (data scientists). range 6,000–30,800
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
Compensation figures are redacted in the posting ($XXX–$YYY annually); no numeric range could be extracted.
The role title is 'ML Scientist' with no level modifier, so advertised seniority is Unspecified. However, the requirements — substantial publications at top venues (NeurIPS/ICML/AISTATS), deep RL expertise, and experience with complex real-world systems — clearly support a Senior-level assessment.
SOC classification is a genuine judgment call: the role is research-heavy (publications required, novel algorithm development) which points to Data Scientists (15-2051), but it also demands substantial engineering depth (distributed training/inference, asynchronous rollouts, inference infrastructure), which overlaps with Software Developers (15-1252). Data Scientists is the primary classification given the research and modeling focus.
The posting explicitly states that only applicants with a GitHub profile, proof of relevant work, or a one-page writeup on autonomous scientific discovery will be considered — an unusual hard gate on verifiable research output rather than a degree.
No degree is formally required; the posting gates on demonstrated research contributions (publications or equivalent proof of work) rather than a credential.
The caller has declared this a fully-remote, national role; no metro is inferred despite Terray Therapeutics being based in Southern California.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Bayesian optimization.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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