Machine Learning Engineer - Computational Drug Discovery
5AM Ventures · Watertown
—
Jul 5, 2026
Watertown
Jul 21, 2026
What this job asks for AI summary
An ML engineering role at a small computational drug discovery company, focused on taking machine learning models built by researchers and deploying them into reliable production systems. Day-to-day work spans building data pipelines, internal AI agents, and scientific tooling used directly by chemists and biologists. Suits engineers with solid ML infrastructure experience and some comfort with chemistry concepts.
Mid level · National · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
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
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
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 (5)
The role is a genuine hybrid between ML engineering (production infrastructure, pipelines) and software development; 15-2051 Data Scientists is listed as a runner-up because the role also involves building and owning ML models alongside the research team.
Degree requirement: the JD lists 'Bachelor's or Master's degree' as a qualification without offering an experience-equivalent path, so Bachelor's is treated as the minimum hard requirement.
Polars and pandas are listed together as a single preferred item ('Polars, pandas') and are treated as alternatives to each other; both are also listed alongside other preferred tools (AWS, MLflow, SQL, Ray, scikit-learn) under the Preferred Qualifications section.
Organic chemistry familiarity is listed as a required qualification but names no specific tool or technology, so it is omitted from the skills list per extraction rules.
No compensation figures are provided beyond a description of competitive base salary, bonus, and equity.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.