Member Of Technical Staff - Vlm

bfl.ai

Freiburg, Germany
Hybrid (2 days onsite in freiburg or sf, with remote work options)
Pretrained or significantly advanced vlm
Production system deployment or public release
Deep understanding of vision/language representations
Black Forest Labs is seeking a Member of Technical Staff to develop and integrate vision-language models (VLMs) into their advanced generative system, FLUX. The role emphasizes innovation in multimodal architectures and requires a strong background in VLMs, with an emphasis on research that translates into production

Job Summary

  • This role is about pioneering the integration of vision-language models directly into FLUX to make generative AI models more powerful, controllable, and aligned with creator needs.
  • You will lead development and training of state-of-the-art multimodal vision-language models, innovating on architectures and designing fine-tuning strategies for specialized creative use cases.
  • Black Forest Labs is a frontier research lab focused on research excellence, open science, and building technology that expands human creativity, with a strong emphasis on collaboration and bold innovation.

Matching Summary

Match Score: 85

Black Forest Labs is seeking a Member of Technical Staff to develop and integrate vision-language models (VLMs) into their advanced generative system, FLUX. The role emphasizes innovation in multimodal architectures and requires a strong background in VLMs, with an emphasis on research that translates into production.

Skills & Requirements

Must-have

  • Pretrained or significantly advanced VLM
  • Production system deployment or public release
  • Deep understanding of vision/language representations
  • Distributed training at multi-node scale

Nice-to-have

  • Diffusion or flow-based generative models
  • Composing autoregressive and diffusion paradigms
  • Research excellence and open science

Key Requirements

  • Pretrained VLM deployed in production or public release
  • Strong publication or production track record
  • Experience with distributed training at scale

Work Rights

Not specified

Tailored Resume

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