Principal Machine Learning Engineer (Reconstruction / Quantitative Imaging)
principal
via Ashby
About this role
WHAT YOU’LL DO
1. Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy.
2. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements.
3. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks.
4. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation.
5. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes.
WHAT WE’RE LOOKING FOR
- Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains.…
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
We compare your skills against the role requirements.
2
Level fit
This role is principal-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 a specific location. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included