AI Platform Engineer - Oncology Imaging (Flexible Hours)

Nucleo (YC F25)

San Francisco (CA)

On-site

USD 150,000 - 230,000

Full time

6 days ago
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Benefits offered by this job

Flexible hours
Travel budget
Product ownership
Professional development budget

Job summary

Nucleo is seeking a platform engineer to advance our AI-driven oncology platform in a fast-moving startup environment in San Francisco. You will own features end-to-end, ship ML models to production, and improve release pipelines while ensuring regulatory alignment and on-site customer integrations.

You will collaborate across time zones, travel for customer work, and help scale our product with hands-on coding in Python and TypeScript, using AI coding tools to accelerate development.

Qualifications

  • Experience in a technical field such as computer science, math or bioengineering, ideally related to AI or healthcare
  • Proven end-to-end product ownership; non-commercial projects or open-source contributions welcomed
  • Strong hands-on coding experience without LLM assistance, in Python or TypeScript

Responsibilities

  • Build and test features across Nucleo's products
  • Ship ML models and ensure accurate and optimized behavior in production
  • Own and improve our release pipeline
  • Enforce regulatory policies and track sign-offs
  • Travel to customer sites for on-site integrations when needed
  • Support our customers and help onboard new users

Skills

End-to-end ownership
Python
TypeScript
AI coding tools

Education

BS in CS/Math/Bioengineering

Tools

Git
Docker
Kubernetes

Job description

Nucleo is seeking a platform engineer to advance our AI-driven oncology platform in a fast-moving startup environment in San Francisco. You will own features end-to-end, ship ML models to production, and improve release pipelines while ensuring regulatory alignment and on-site customer integrations.

You will collaborate across time zones, travel for customer work, and help scale our product with hands-on coding in Python and TypeScript, using AI coding tools to accelerate development.

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