Forward Deployed Machine Learning Engineer

Black Forest Labs

San Francisco, California, United States
Base: $180,000–$300,000 usd; bonus/equity: not spe...
On-site
Direct experience with generative ai deployment
Hands-on expertise in diffusion model optimization
Proven track record shipping ml models to production
You will live at the intersection of cutting-edge research and brutal production reality, ensuring models perform optimally in diverse customer environments

Job Summary

  • You will live at the intersection of cutting-edge research and brutal production reality, ensuring models perform optimally in diverse customer environments.
  • The role involves architecting deep product integrations that go far beyond standard API endpoints to solve unique customer use cases.
  • We are a distributed team grounded in values like being obsessed with science, low ego, boldness, and kindness.

Matching Summary

You will live at the intersection of cutting-edge research and brutal production reality, ensuring models perform optimally in diverse customer environments.

Salary

Base: $180,000–$300,000 USD; Bonus/Equity: Not specified; Benefits: Travel costs covered

Skills & Requirements

Must-have

  • Direct experience with generative AI deployment
  • Hands-on expertise in diffusion model optimization
  • Proven track record shipping ML models to production
  • Strong Python skills and API design intuition

Nice-to-have

  • Deep knowledge of flow matching techniques
  • Intimate familiarity with FLUX ecosystem tools
  • Experience optimizing transformer inference
  • Open-source contributions in diffusion space

Key Requirements

  • Experience debugging and serving deep learning models at scale
  • Ability to diagnose infrastructure vs. model performance issues
  • Demonstrated success in enterprise-level model deployment

Work Rights

Not specified

Tailored Resume

Cover Letter