Software Engineer, Applied Machine Learning

FAL

San Francisco, California, United States
Base: $170,000 - $250,000; bonus/equity: equity in...
On-site
Python programming skills
Pytorch framework experience
Diffusers library knowledge
The role focuses on developing, fine-tuning, and operationalizing machine learning models to enhance user experiences in the generative media space

Job Summary

  • The role focuses on developing, fine-tuning, and operationalizing machine learning models to enhance user experiences in the generative media space.
  • Candidates will have access to a massive GPU cluster for training and inference while working alongside a team dedicated to deploying new AI breakthroughs.
  • The company offers competitive compensation ranging from $170,000 to $250,000 plus equity and relocation assistance to San Francisco.

Matching Summary

The role focuses on developing, fine-tuning, and operationalizing machine learning models to enhance user experiences in the generative media space.

Salary

Base: $170,000 - $250,000; Bonus/Equity: Equity included; Benefits: Comprehensive benefits package including health, dental, vision

Skills & Requirements

Must-have

  • Python programming skills
  • PyTorch framework experience
  • Diffusers library knowledge
  • Generative media domain awareness
  • Model fine-tuning capabilities

Nice-to-have

  • Novel architecture development
  • Product feature identification
  • Rapid iteration mindset
  • Customer problem solving
  • Team collaboration in AI

Key Requirements

  • Broad view of generative media space
  • Awareness of new methods in ML
  • Experience with Python and PyTorch

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter