Research Engineer, Machine Learning
remotemid
via Ashby
About this role
WHAT WE'RE LOOKING FOR
We are seeking Research Engineers, with strong machine learning experience, to help build the infrastructure, tools, and prototypes that power our AI-driven material discovery engine. You will work across research and engineering, turning new ideas in modelling, reasoning, and experiment automation into robust, scalable systems.
You will be joining a small, highly ambitious team of world-renowned engineers, AI researchers, and materials scientists. We move fast and value people who are energised by that.
This is a role for someone who is excited about ML at scale, enjoys turning research ideas into working code, and wants to make a meaningful contribution to material science.
WHAT YOU'LL DO…
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: python, gcp, kubernetes, docker, 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.
pythongcpkubernetesdockerpytorchjaxtransformers