Member of Technical Staff - VLM
blackforestlabs
Member of Technical Staff - VLM at blackforestlabs is a full time role based in Remote. Listed skills: Research. It was published on 13 August 2026 and was open at last check.
| Role | Member of Technical Staff - VLM |
|---|---|
| Company | blackforestlabs |
| Location | Remote |
| Employment type | Full Time |
| Skills listed | Research |
| Published | 13 August 2026 |
| Status | Open at last check |
<h2><strong>About Black Forest Labs</strong></h2>
<p>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.</p>
<p>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.</p>
<h2><strong>Why This Role</strong></h2>
<p>Vision-language models are becoming foundational to how people interact with generative AI — but most VLM research happens in isolation from the generation stack. At Black Forest Labs, we're integrating VLMs directly into FLUX in ways that make our models more powerful, more controllable, and more aligned with what creators actually want.</p>
<p>This role is about pioneering that integration. You won't be applying off-the-shelf VLMs — you'll develop novel approaches, innovate on architectures, and answer questions that haven't been solved yet: how vision and language representations inform each other, how multimodal understanding improves generation quality, and how to make these capabilities deployable at scale without compromising what makes FLUX exceptional.</p>
<p>This is a Staff / Senior IC role. We're looking for someone who has pretrained or significantly advanced a VLM, not just fine-tuned one.</p>
<h2><strong>What You'll Work On</strong></h2>
<ul>
<li>Lead development and training of state-of-the-art multimodal vision-language models within the FLUX stack — innovating on architectures, not just applying existing ones</li>
<li>Design fine-tuning strategies that adapt VLMs to specialized creative use cases (captioning, editing instructions, prompt enhancement) that general-purpose models can't handle</li>
<li>Research integrations between VLM/LLM capabilities and our diffusion and flow pipelines — finding creative ways to improve generation quality and controllability without computational bottlenecks</li>
<li>Evaluate emerging multimodal architectures, translating the best of recent research into practical improvements</li>
</ul>
<h2><strong>What We're Looking For</strong></h2>
<ul>
<li>You've pretrained or significantly advanced a VLM (not just SFT'd or LoRA'd one) that was deployed in a production system or released publicly</li>
<li>Strong publication record or unambiguous production track record showing you push the frontier on multimodal architectures</li>
<li>Deep understanding of how vision and language representations interact: tokenization, alignment, grounding, cross-modal attention, and the failure modes of each</li>
<li>Experience with distributed training at multi-node scale</li>
<li>Comfortable at the research/production boundary — you care whether the work ships and generalizes, not just whether it reads well</li>
<li>Experience with diffusion or flow-based generative models is a strong plus — especially if you've thought about how autoregressive and diffusion paradigms can compose</li>
</ul>
<h2><strong>How We Work Together</strong></h2>
<p>We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.</p>
<p><strong>Everything we do is grounded in four values:</strong></p>
<ul>
<li><strong>Obsessed.</strong> We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.</li>
<li><strong>Low Ego.</strong> The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.</li>
<li><strong>Bold.</strong> We take the ambitious bet. We ship, we do not wait for conditions to be perfect.</li>
<li><strong>Kind.</strong> People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.</li>
</ul>
<p>If this sounds like work you’d enjoy, we’d love to hear from you.</p>
<p><strong>Base Annual Salary:</strong></p>
<p><span data-sheets-root="1"><strong>EU</strong> €130,000-€340,000 + Equity</span></p>
<p> </p>
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Member of Technical Staff - VLM at blackforestlabs — questions answered
What does the Member of Technical Staff - VLM role at blackforestlabs pay?
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Where is the Member of Technical Staff - VLM role at blackforestlabs based?
blackforestlabs lists this Member of Technical Staff - VLM role in Remote, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with blackforestlabs before you apply.
What skills does the Member of Technical Staff - VLM role at blackforestlabs require?
The Member of Technical Staff - VLM at blackforestlabs listing names Research. Those are the skills the employer put on the posting itself, so they are the ones worth matching in your profile and covering first in an interview.
Is the Member of Technical Staff - VLM role at blackforestlabs still open?
The Member of Technical Staff - VLM posting at blackforestlabs was open at OnJob's last check of the employer's careers page, having been published on 13 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
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