Software Engineer - ML Infrastructure
remotemid
via Ashby
About this role
About the Team
We’re a tight-knit team of proven drug hunters, deep learning researchers, and software engineers united by a common mission — drive AI innovation in biochemistry, discovering and developing groundbreaking therapies for patients suffering from severe disorders.
Genesis AI team is focused on developing foundation models for small molecule drug discovery by conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, as well as engineering robust software systems that enable running large scale simulations and training generative and predictive AI models designed to learn from all kinds of molecular data, leveraging our cluster with 1000s of GPUs and 10,000s of CPUs.
About the Role…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: kubernetes, pytorch
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
kubernetespytorch
More at Genesis Molecular Ai
- View →Senior Director, Medicinal Chemistry
- View →Software Engineer - Core Infrastructure
- View →ML Research Engineer, Foundation Models (Senior / Staff / Principal)
- View →Applied ML Scientist (Staff / Principal)
- View →ML Research Scientist, Foundation Models (Senior / Staff / Principal)
- View →Product Management Lead