Senior ML Engineer: Medical Image Reconstruction

Midjourney; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

Midjourney in San Francisco seeks an ML-focused engineer to bridge research prototypes and production systems for medical imaging applications. You will collaborate with image reconstruction scientists to improve reconstruction quality, speed, and robustness through ML components and physics-informed methods.

You will define datasets, pipelines, and metrics aligned with user needs, and productionize models with attention to reproducibility, drift monitoring, and safe fallbacks.

Qualifications

• Strong applied ML experience with comfort in signal processing or 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.
• Demonstrated track record of applying ML to physics-based or inverse problems (shipped projects, portfolio, or publications).
• Hands-on data curation for ML: building datasets from messy sources and defining ground truth.

Responsibilities

• 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.

Skills

Applied ML

Signal processing

Imaging domain knowledge

Production-ready systems

Research-to-production transition

Job description

Midjourney in San Francisco seeks an ML-focused engineer to bridge research prototypes and production systems for medical imaging applications. You will collaborate with image reconstruction scientists to improve reconstruction quality, speed, and robustness through ML components and physics-informed methods.

You will define datasets, pipelines, and metrics aligned with user needs, and productionize models with attention to reproducibility, drift monitoring, and safe fallbacks.