Scientific Machine Learning Engineer
New Yorkonsitemid$130K – $160K
via Greenhouse
About this role
We’re seeking a Scientific Machine Learning (ML) Engineer to join us in our mission to transform the discovery of therapeutics and materials! Our Hit Discovery team builds computational workflows that combine machine learning with chemical physics to efficiently evaluate billions of potential drug molecules. As a member of this group, you’ll collaborate with research scientists on improving the accuracy and applicability of these methods and turn them into robust, scalable software products.…
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, pytorch, teams
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 based in New York. We weight your proximity and willingness to relocate.
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.
pythonpytorchteams
More at Schrdinger
- View →Materials Science Account ManagerMunich; Mannheim
- View →Force Field ScientistNew York
- View →Senior Account ManagerCambridge, MA
- View →Applications Scientist, Materials Science, JapanTokyo
- View →Machine Learning Force Field ScientistNew York
- View →Product Manager, Materials Science AI and Machine LearningNew York; Portland; San Diego
