Forward Deployed Machine Learning Engineer
Black Forest Labs - San Francisco (USA)
Posted Sep 26, 2025
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Not verified
Was this benefit information wrong? Tell us.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Forward Deployed Machine Learning Engineer San Francisco (USA) About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX - foundational technologies that changed how the world creates images and video. Our models power the tools used by millions of creators, developers, and businesses worldwide, and FLUX is among the most advanced generative systems in the world. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role You'll live at the intersection of cutting-edge research and brutal production reality. Your customers won't just want FLUX to work-they'll need it optimized for their specific hardware, fine-tuned for their unique use cases, and integrated into systems that weren't designed for diffusion models in the first place. What You'll Work On - Ensures FLUX models perform optimally in customer environments-whether that's on-premise GPU clusters or BFL-hosted infrastructure-balancing the eternal tension between latency and output quality - Architects deep product integrations that go far beyond "here's an API endpoint"-helping customers with everything from model hosting and deployment to inference optimization techniques that haven't made it into textbooks yet - Customizes our foundation models for visual media to solve problems customers couldn't articulate until you helped them understand what's possible - Sits in technical deep-dives with customers to diagnose performance bottlenecks, then translates those findings into solutions (and sometimes into research questions for our core team)
Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.
Apply link not verified; last-live date unavailable.
What verified means
Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.
Related jobs
-
Systems Engineer - (Execution) - Level 3/4
Northrop Grumman - United States-Alabama-Huntsville
-
Business Analyst (Top Secret cleared)
ICF International INC - Washington, DC
-
Engineering Project Specialist II (Full Time) - United State
Cisco - San Jose, California, US
-
Automation AI Ops Engineer
Cisco - 2 Locations