Principal ML Systems Engineer (Life Sciences)

Lilasciences; San Francisco (CA); On-site; USD 252,000 - 374,000; Full time

Benefits offered by this job

Comprehensive benefits program

Flexible time off

Paid parental leave

Job summary

Lilasciences in San Francisco is seeking a Principal ML Engineer to design, build, and scale their machine learning infrastructure for groundbreaking projects. This high-impact role requires collaboration with AI scientists to integrate automation into scientific workflows and push the envelope of ML applications.

The ideal candidate will possess over 10 years of experience in building production ML systems and a strong background in distributed training infrastructure. The comprehensive benefits package includes medical coverage and flexible time off.

Qualifications

• Master's degree or higher in Computer Science, Machine Learning, or a related field.
• 10+ years of experience building and operating production ML systems at scale.
• Expertise in distributed training infrastructure with large-scale GPU clusters.

Responsibilities

• Design and optimize large-scale training pipelines for generative models.
• Own production ML systems end to end: model deployment and monitoring.
• Collaborate with AI scientists to translate research prototypes into robust systems.

Skills

Distributed training infrastructure

Production ML systems

Software engineering fundamentals

ML frameworks (PyTorch, JAX, TensorFlow)

Education

Master's degree or higher in Computer Science or Machine Learning

Tools

AWS

GCP

Job description

Lilasciences in San Francisco is seeking a Principal ML Engineer to design, build, and scale their machine learning infrastructure for groundbreaking projects. This high-impact role requires collaboration with AI scientists to integrate automation into scientific workflows and push the envelope of ML applications.

The ideal candidate will possess over 10 years of experience in building production ML systems and a strong background in distributed training infrastructure. The comprehensive benefits package includes medical coverage and flexible time off.