Principal Machine Learning Engineer (Reconstruction / Quantitative Imaging)

Midjourney, San Francisco +1

About the job

Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy.
Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements.
Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks.
Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation.
Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes.

Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains.
Ability to move fluidly between research prototypes and production-quality systems.
Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility.

Midjourney, San Francisco +1

Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy.
Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements.
Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks.
Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation.
Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes.

Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains.
Ability to move fluidly between research prototypes and production-quality systems.
Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility.