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Machine Learning Engineer (Senior-Principal) – Hybrid working / San Francisco Bay Area ($180-280k)

Job title Machine Learning Engineer (Senior-Principal) – Hybrid working / San Francisco Bay Area ($180-280k)
Contract type: Permanent
Location United States of America
Workplace type: Hybrid
Reference: 7443
Contact name: David Robinson
City: san francisco
Contact email:
Published: October 11, 2023 5:25

Job Description

Machine Learning Engineer (Senior to Principal) – Hybrid working San Francisco Bay Area ($180-280k)

Signify Technology are partnered with an established and well-funded startup in the cellular health sector. They are utilizing computer science and machine learning to develop therapies for a broad range of diseases, injuries and disabilities.   

What you will do:
  • Design and implement large-scale Machine learning algorithms.
  • Train and optimize machine learning models on large, complex biological datasets.
  • Deploy & optimize new statistical and machine learning-based methods for analyzing biological data in collaboration with world-class data scientists and engineers.
  • Research and stay up to date with the latest trends in the AI sector.

What you will bring to the team:
  • PHD or MS in data science or engineering
  • Minimum of 2+ years’ commercial / industry experience solving real life
  • Must have some previous experience in the healthcare, biotech, life sciences sector.
  • Strong experience with Large Language Models, specifically training and fine tuning
  • Strong experience with ML frameworks like PyTorch or TensorFlow  

If you would like to apply for this position or would like more information, please send your resume to