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AI Surgical Planning Assistance Developer

Wyatt Tanaka

Full-time · Job · New_York

About the role

The models you build will be reviewed by surgeons before operations that affect patient outcomes. Orbio AI is expanding from radiology screening into preoperative AI — building tools that help surgical teams plan complex procedures using 3D anatomical reconstruction and risk stratification models. The stakes are real, and the validation bar is clinical-grade. In this role, you'll develop computer vision models for 3D anatomical structure segmentation from CT and MRI data, build risk stratification models that flag surgical complexity based on patient anatomy and comorbidities, and work with our clinical team to validate model outputs against surgeon consensus. You'll also contribute to the regulatory documentation required for FDA 510(k) submission. Orbio operates at the frontier of applied clinical AI. Our team includes machine learning researchers and practicing surgeons. If you want your models to matter in a way that's immediately legible — a surgeon uses your output to make a better incision plan — this is the environment.

Responsibilities

  • Develop 3D anatomical structure segmentation models from CT and MRI imaging data
  • Build surgical risk stratification models based on anatomy and comorbidity signals
  • Collaborate with clinical team for surgeon-consensus model validation
  • Contribute to FDA 510(k) regulatory documentation for surgical AI tools
  • Maintain model versioning and reproducibility infrastructure

Requirements

  • 5+ years ML engineering with medical imaging or computer vision focus
  • Experience with 3D segmentation models (nnU-Net, V-Net, or similar)
  • Strong PyTorch and Python skills
  • Familiarity with DICOM data formats and medical imaging pipelines
  • Experience with FDA regulated AI or IEC 62304 software lifecycle is a plus

Benefits

  • Fully remote with annual team summit
  • Equity in a clinical AI company with FDA pathway
  • Health, dental, and vision coverage
  • $5,000 annual research and conference budget
  • Structured clinical domain onboarding program

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Categories

AI & Machine Learning Engineers data science & analytics

Skills

python pytorch tensorflow computer vision statistics

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$160k – $200k / year

AI Expertise

AI & Machine Learning Engineers data science & analytics

Skills

python pytorch tensorflow computer vision statistics

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