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Staff Software Engineer / Tech Lead, ML Infrastructure

San Francisco💼 Full-time💰 $190,000–$250,000🗓 2026-06-11 → 2026-07-31

Core

Building data and ML infrastructure to support large-scale machine learning applied to precision healthcare, specifically for medical imaging datasets.

Role type

Staff Software Engineer / Tech Lead (ML Infrastructure)

Builds

Data systems for curation/analytics and core ML environments for training and inference

Domain

Healthcare / Medical Imaging / AI

Deliverable

infrastructure

Required skills

Python, distributed systems, MLOps, cloud architecture (AWS/GCP/Azure), infrastructure as code, Kubernetes, Ray, C++/Python bindings

Preferred skills

Healthcare domain experience, regulated environments, image-based algorithms

Technologies

Ray, Kubernetes, Apache Iceberg, CDK, Terraform

Responsibilities

Act as technical lead and mentor for a small team; write high-performance Python code for distributed computing platforms; deploy complex ML algorithms to scalable cloud environments; design and integrate robust cloud-data systems for medical datasets; collaborate with researchers to solve ML training and serving needs; utilize AI-powered development tools to accelerate workflows

Seniority

Staff, hands-on IC with technical leadership

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