Senior Machine Learning Engineer, Computer Vision
About the role
Apella builds ambient AI for the operating room — using computer vision and ML to improve surgical outcomes and patient safety. As Senior ML Engineer, you'll own end-to-end ML system lifecycles, build annotation and curation tooling for surgical video data, and collaborate across engineering and product to ship models that directly impact patient care.
What you'll do
- Own end-to-end lifecycles of large-scale, distributed ML systems — from dataset curation to model monitoring.
- Build tooling to automate annotation, curation, and management of ML training datasets, particularly image and video data.
- Collaborate with engineering, product, and data science teams to identify and develop ML/AI solutions for clinical challenges.
- Investigate model performance issues and identify data quality gaps in real-world, high-volume surgical video datasets.
Requirements
- 5+ years of experience with production ML systems, covering the full build-to-monitor workflow.
- Experience designing annotation, curation, and management tooling for ML datasets at scale.
- Proficiency handling high-volume real-world datasets — especially image and video formats.
- Proficiency using AI tools and techniques to accelerate product development.
- Familiarity with SaaS products for business customers; healthcare or regulated industry experience a plus.
About Apella
Apella applies computer vision and machine learning to the operating room, building AI tools that help surgeons, nurses, and hospital administrators deliver better surgical outcomes and patient safety.
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