Black Forest Labs · 3 hours ago
Forward Deployed Machine Learning Engineer
San Francisco (USA)
Full-time
Onsite
Senior Level
$180K/yr - $300K/yr
5+ years expBlackforestlabs is a pioneering company in generative AI, known for their FLUX models that enhance creative tools and design workflows. The Forward Deployed Machine Learning Engineer will optimize FLUX models for customer environments, ensuring performance and integration while addressing unique use cases and challenges in production.
Computer Software
Responsibilities
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)
Discovers where generative visual AI should go next by understanding what industries are struggling with problems we could solve
Qualification
Required
Direct experience working with customers on generative AI deployment—the kind where you're iterating on solutions in real-time, not just following a playbook
Hands-on expertise with generative modeling approaches, particularly finetuning, optimizing, and serving deep learning models in production environments
A proven track record as an ML engineer who's shipped models that real systems depend on
Strong Python skills and intuitive understanding of API design (because demos and prototypes are how you communicate what's possible)
The ability to explain why a diffusion model is slow to an executive and how to fix it to an engineer—in the same meeting
Preferred
Have deep knowledge of diffusion models and/or flow matching, including finetuning and distillation techniques that go beyond standard tutorials
Know the FLUX ecosystem intimately—ComfyUI, common training frameworks, the tools practitioners actually use
Have battle-tested experience optimizing inference for transformer-based models (and the scars to prove it)
Can architect solutions in complex enterprise environments where 'just add more GPUs' isn't an option
Contribute to open-source projects in the diffusion model space and understand the community
Have deployed models on cloud platforms using state-of-the-art serving infrastructure
Company
Black Forest Labs
We’re the leading frontier AI research lab, continuously building the most advanced technology that shapes the visual understanding of the world.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase