Black Forest Labs

Black Forest Labs

Member of Technical Staff - Research Engineer

San Francisco · Staff+

Sponsorship not specifiedEUR 130k-EUR 240kDetected 22 days ago
Distributed SystemsPyTorchLLMsResearchCommunication

About the role

  • We're creating the generative models that power how people make images and video-tools used by millions of creators, developers, and businesses worldwide.
  • Our FLUX models are among the most advanced in the world, and we're just getting started.
  • You will work directly with researchers, but your output will often be code, measurements, kernels, debugging tools, and training-system changes that make better research possible.

Responsibilities

  • Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.

Requirements

  • Experience with distributed training concepts such as FSDP, tensor/model/context/sequence parallelism, activation checkpointing, NCCL, and overlapping compute and communication
  • Experience profiling GPU workloads with tools like Nsight Systems, Nsight Compute, torch profiler, trace viewers, or custom telemetry
  • Have written or substantially improved forward/backward GPU kernels, or have shown you can make progress on kernel-level work with strong measurement and validation discipline
  • Have experience with diffusion, flow matching, DiT, and multimodal generative model training
  • if your deepest background is autoregressive or LLM training systems, you are excited to learn the diffusion and multimodal modeling stack quickly

Skills

  • Headquartered in Freiburg, Germany with a growing presence in
  • Help the training team move quickly when an urgent bottleneck appears, while turning repeated failures into better abstractions and tools

Compensation

  • EU €130,000 - €240,000 + Equity
  • US $180,000 - $290,000 + equity

Company info

  • Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.

This listing is sourced directly from Black Forest Labs's careers page and normalized into a canonical job model.