Senior Machine Learning Engineer (Clinical Team)
USD 237,000–250,000 / year
- Company
- Midjourney
- Location
- San Francisco Bay Area Hybrid
- Work mode
- Hybrid
- Open to applicants from
- On-site/hybrid: local candidates
- Level
- Senior
- Employment
- Full-time
- Field
- Data & AI / Machine learning & AI
- Stated pay
- USD 237,000–250,000 / year
- Posted
- 2026-09-18 (58 days ago)
- Visa sponsorship mentioned
- Not mentioned
- Listing source
- Ashby
Machine learningPyTorch AI / ML engineering & research Health-tech, non-clinical
About the role
WHAT YOU’LL DO 1. Own the tissue-class segmentation and labeling models for the ultrasound CT clinical analysis layer, and the pipelines that make them trainable and verifiable. 2. Retune across 2D per-slice, 3D volumetric, and 2D×3D fusion as reconstructed image inputs are continuously updated, and clinical indications for use expand. 3. Define training/evaluation pipelines, datasets, and metrics from the ground up or from open source; map model behavior to user needs and design requirements. 4. Work with data labeling contractors, expert clinicians, and our internal cloud/data teams on labeling specs, QC, and dataset versioning. 5. Help productionize models into a versioned, HIPAA-bound…
Excerpt only. Read the full description and apply at the original posting on Ashby. We list jobs from public job-board feeds and do not alter employer content beyond this excerpt.
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