Remote Senior ML Engineer for Medical Imaging Platform

Centile Bio; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity

Medical, dental, vision

401(k)

Paid time off

Job summary

Centile Bioscience Inc. is a fully remote company in the United States seeking a Senior Machine Learning Engineer to lead imaging and ML workflow development for a quantitative neuroimaging platform.

You will own end-to-end components from MRI preprocessing to ML inference, collaborating with ML scientists and software engineers to deliver robust, scalable software in a cloud/on-premise environment. This role emphasizes production-ready solutions and platform reliability.

Qualifications

• Bachelor's or higher in a quantitative field with 5+ years in medical imaging or related areas.
• Hands-on experience translating research software into production systems.
• Strong Python and production-grade software development experience.

Responsibilities

• Lead end-to-end imaging and ML engineering workflows from preprocessing to inference.
• Collaborate with ML scientists to productionize research algorithms.
• Design scalable, reproducible pipelines and robust QC practices.
• Provide technical guidance and mentorship without direct reports.

Skills

Python programming

Production software

PyTorch

TensorFlow

Docker

AWS

Education

Bachelor's degree in CS/related quantitative field

Master's or Doctoral degree with relevant experience

Tools

Linux

Git

CI/CD

Job description

Centile Bioscience Inc. is a fully remote company in the United States seeking a Senior Machine Learning Engineer to lead imaging and ML workflow development for a quantitative neuroimaging platform.

You will own end-to-end components from MRI preprocessing to ML inference, collaborating with ML scientists and software engineers to deliver robust, scalable software in a cloud/on-premise environment. This role emphasizes production-ready solutions and platform reliability.