AI/ML Research Engineer for Scalable Protein Design

Manifold Bio; San Francisco, Boston (CA, MA); On-site; USD 120,000 - 160,000; Full time

Job summary

A biotechnology company in San Francisco is looking for a Machine Learning Research Engineer to develop and optimize machine learning models for protein design. You will work closely with research scientists to build scalable ML infrastructure that drives breakthroughs in therapeutic discovery. The ideal candidate has experience with deep learning, distributed computing, and a strong background in Python. This is an on-site role, with preference for candidates based in San Francisco or willing to relocate.

Qualifications

• 2+ years of hands-on experience with deep learning applications.
• Experience with distributed computing and GPU optimization.
• Strong proficiency in the Python scientific computing stack.

Responsibilities

• Implement and optimize machine learning models for protein design.
• Build and maintain scalable data processing pipelines.
• Develop ML infrastructure for distributed training and inference.

Skills

PyTorch

JAX

Python scientific computing stack

Cloud computing platforms

Version control (Git)

Strong problem-solving skills

Education

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Computational Biology or related field

Tools

Docker

Kubernetes

Job description

A biotechnology company in San Francisco is looking for a Machine Learning Research Engineer to develop and optimize machine learning models for protein design. You will work closely with research scientists to build scalable ML infrastructure that drives breakthroughs in therapeutic discovery. The ideal candidate has experience with deep learning, distributed computing, and a strong background in Python. This is an on-site role, with preference for candidates based in San Francisco or willing to relocate.