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This includes data strategy and reward modeling, preference optimization, distillation, and safety tuning across image, editing, and video.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Own the full post-training pipeline end to end , from data curation and reward modeling through fine-tuning, preference optimization, distillation, safety tuning, evaluation, and deployment</li>\n<li>Advance techniques across the post-training stack: SFT, RLHF, RLAIF, DPO, preference learning, and reward modeling to align models with human intent and aesthetic judgment</li>\n<li>Work across modalities: text-to-image, image editing, multi-reference, and video post-training</li>\n<li>Build personalization and customization capabilities that let users adapt our models to their own creative style</li>\n<li>Design and maintain high-throughput fine-tuning and evaluation infrastructure to support rapid iteration across the research team</li>\n<li>Identify quality and alignment gaps through rigorous evaluation, then close them through targeted research and engineering</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>You&#39;ve owned post-training for a frontier generative model through release (SFT, preference optimization (DPO or RLHF), distillation, safety tuning) with measurable quality wins on human prefs or standard benchmarks</li>\n<li>Deep experience across the post-training stack, not just one slice: reward modeling, preference learning, RLHF/RLAIF, and personalization</li>\n<li>Comfortable working across modalities: text-to-image, image editing, multi-reference, and ideally video</li>\n<li>Strong PyTorch fluency; you write research code that others can build on</li>\n<li>Experience with distillation (LADD, DMD, consistency models, or similar) or with building high-throughput eval pipelines is a strong plus</li>\n<li>Bias toward shipping: measurable model-quality improvements that reach users, not just papers</li>\n</ul>\n<h4>How We Work Together</h4>\n<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>","enriched_at":1777043956089},{"id":"job_556f5f38-c43","title":"Member of Technical Staff - VLM","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5193513008","location":"Freiburg (Germany)","job_type":"full-time","experience_level":null,"work_arrangement":"hybrid","category":"Engineering","description":"<h4>About This Role</h4>\n<p>We&#39;re seeking a Member of Technical Staff to pioneer the integration of vision-language models (VLMs) into our FLUX stack. As a key member of our team, you&#39;ll develop novel approaches, innovate on architectures, and answer questions that haven&#39;t been solved yet.</p>\n<h4>What You&#39;ll Work On</h4>\n<ul>\n<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>\n<li>Design fine-tuning strategies that adapt VLMs to specialized creative use cases (captioning, editing instructions, prompt enhancement) that general-purpose models can&#39;t handle</li>\n<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>\n<li>Evaluate emerging multimodal architectures, translating the best of recent research into practical improvements</li>\n</ul>\n<h4>What We&#39;re Looking For</h4>\n<ul>\n<li>You&#39;ve pretrained or significantly advanced a VLM (not just SFT&#39;d or LoRA&#39;d one) that was deployed in a production system or released publicly</li>\n<li>Strong publication record or unambiguous production track record showing you push the frontier on multimodal architectures</li>\n<li>Deep understanding of how vision and language representations interact: tokenization, alignment, grounding, cross-modal attention, and the failure modes of each</li>\n<li>Experience with distributed training at multi-node scale</li>\n<li>Comfortable at the research/production boundary , you care whether the work ships and generalizes, not just whether it reads well</li>\n<li>Experience with diffusion or flow-based generative models is a strong plus , especially if you&#39;ve thought about how autoregressive and diffusion paradigms can compose</li>\n</ul>\n<h4>How We Work Together</h4>\n<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.</p>","enriched_at":1777043878225},{"id":"job_0cc07454-b0f","title":"Member of Technical Staff - Pretraining","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5193508008","location":"Freiburg (Germany)","job_type":"full-time","experience_level":null,"work_arrangement":"hybrid","category":"Engineering","description":"<h3>About the Role</h3>\n<p>We&#39;re building the foundation models that power the next wave of visual intelligence, and pretraining is where that work begins. This role sits at the center of our research effort, shaping training objectives, architectures, data strategies, and systems behind our joint image, video, and audio foundation models.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Lead large-scale pretraining experiments for our multimodal (image, video, audio) foundation models (architecture, objective functions, scaling strategies)</li>\n<li>Develop and evaluate novel ideas across architecture, optimizers, and training algorithms</li>\n<li>Contribute across the full stack: low-level GPU and systems optimizations, research code, and high-level model design</li>\n<li>Lead focused research projects independently and drive larger cross-team initiatives</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>You&#39;ve led or co-owned pretraining for a foundation model (image, video, LLM, or multimodal) that shipped to production or a major release</li>\n<li>Own architectural calls that move the model: attention patterns, modulation schemes, loss formulations, tokenization strategies</li>\n<li>Deep experience with large-scale distributed training: FSDP/TP/PP, multi-node runs at 500+ GPUs, debugging loss spikes, NaNs, throughput regressions, and silent correctness issues at scale</li>\n<li>Strong intuition for architecture and objective design , you&#39;ve made calls on attention patterns, modulation schemes, or loss formulations that moved a real model</li>\n<li>Track record of shipping: top-venue publications (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV) paired with production impact, or unambiguous production wins at a frontier lab</li>\n<li>Deep Python and PyTorch proficiency; comfortable reading and modifying low-level training code</li>\n<li>Familiarity with visual generative models is a must</li>\n</ul>\n<h3>How We Work Together</h3>\n<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>","enriched_at":1777043856420},{"id":"job_9cac404c-fb9","title":"Senior Solutions Architect","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/4642947008","location":"San Francisco (USA)","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"We're seeking a Senior Solutions Architect to bridge our research frontier and customer reality. As a key member of our team, you'll onboard customers to our suite of models, providing hands-on guidance on prompting strategies, inference optimization, evaluation frameworks, and finetuning approaches. You'll work alongside our Sales and BD teams on complex customer projects, act as a central internal hub connecting go-to-market, engineering, and applied research teams, and create reusable technical enablement resources. You'll also translate customer technical feedback into actionable product insights and collaborate with engineering and research teams to implement required updates and new features.\n\nYou should have a deep understanding of generative AI, hands-on experience serving generative deep learning models in production settings, and a track record of working directly with customers, iterating on solutions, and providing tailored support. Proficiency in Python and intuitive understanding of API integrations are also essential. Excellent communication skills, honed through collaborating with non-technical stakeholders, are necessary to adapt your message depending on who's in the room.\n\nPrior experience finetuning diffusion models, working with customization tools like ComfyUI, and contributing to open-source projects in the diffusion model space are highly valued. Deploying models on cloud platforms using state-of-the-art serving infrastructure is also desirable.","enriched_at":1776428877237},{"id":"job_b7fac85b-12f","title":"Senior Account Executive","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5014658008","location":"San Francisco (USA), Freiburg (Germany)","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Sales","description":"We're seeking a Senior Account Executive to join our commercial team. As a key member of our team, you will own the end-to-end commercial journey, working closely with research, engineering, and leadership to help customers move confidently from evaluation to production. You will run complex, multi-stakeholder deals involving technical buyers, executives, and legal teams, and design and execute sales motions across APIs, on-prem deployments, and custom licensing.\n\nKey responsibilities include:\n\n* Owning the full sales cycle from discovery through close and expansion across startups, scaleups, and enterprises\n* Running complex, multi-stakeholder deals involving technical buyers, executives, and legal teams\n* Designing and executing sales motions across APIs, on-prem deployments, and custom licensing\n* Building durable customer relationships that drive retention and long-term expansion\n* Partnering closely with solutions engineering, forward-deployed engineers, product, research, and legal on bespoke deals\n* Translating customer needs and market signals into actionable feedback for product and research\n\nThe ideal candidate will have experience selling technical products to tech executives, ML teams, and enterprise stakeholders, and a proven track record of managing long, multi-stakeholder sales cycles and closing strategic landmark deals.\n\nAs a Senior Account Executive, you will be part of a distributed team with real offices that people actually use. Depending on your role, you will 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.\n\nWe are a frontier research lab and we value obsessions, low ego, boldness, and kindness. If this sounds like work you'd enjoy, we'd love to hear from you.","enriched_at":1776428868803},{"id":"job_6e0e451e-837","title":"Account Executive","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5142062008","location":"Freiburg (Germany)","job_type":"full-time","experience_level":"mid","work_arrangement":"hybrid","category":"Sales","description":"We're looking for an Account Executive to join our team. As an Account Executive, you will own the full sales cycle from qualification through close for SMB, startup, AI-native, and enterprise customers. You will manage a book of 30-50+ accounts, driving retention, adoption, and expansion. You will qualify inbound leads and run outbound prospecting into target segments. You will execute sales campaigns in collaboration with sales leadership. You will handle deals across API access and weight licensing. You will translate customer needs and usage patterns into expansion opportunities. You will collaborate with solutions engineering and product on technical questions.\n\nThis is a full-cycle role, and you will be responsible for everything from first touch to close to renewal and upsell. You will work with a variety of accounts, including fast-moving AI startups and household-name enterprises. You will need to be able to land deals, prove value, and grow accounts into strategic relationships.\n\nIf you're already closing deals and want to be at the forefront of the generative AI wave, this is the role for you.\n\nWe're looking for someone who has closed real deals, moves fast, and is hungry to have outsized impact at a company where your work directly drives revenue. You should have 2-4 years of experience in a closing sales role, ideally with a BDR-to-AE progression. You should be comfortable discussing model capabilities, API integration, and deployment with technical buyers. You should have a track record of managing a high volume of accounts and deals in parallel without dropping balls. You should be organized, disciplined, and self-directed.","enriched_at":1776428793616},{"id":"job_4075c787-328","title":"Member of Technical Staff - Large Scale Data Infrastructure","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5019171008","location":"Freiburg (Germany), San Francisco (USA)","job_type":"full-time","experience_level":"staff","work_arrangement":"hybrid","category":"Engineering","description":"<p>We&#39;re looking for infrastructure engineers to work at peta-to-exabyte scale. You&#39;ll build data systems behind the largest training runs on thousands of GPUs, where fixing one bottleneck lets researchers train the next breakthrough model.</p>\n<p><strong>What You&#39;ll Work On:</strong></p>\n<ul>\n<li>Scalable data loaders for training runs across thousands of GPUs</li>\n<li>Efficient storage and retrieval systems for petabyte-scale datasets</li>\n<li>Multi-cloud object storage abstraction</li>\n<li>Execute large-scale data migrations across storage systems and providers</li>\n<li>Debug and resolve performance bottlenecks in distributed data loading</li>\n</ul>\n<p><strong>Technical Focus:</strong></p>\n<ul>\n<li>Python, PyTorch DataLoader internals</li>\n<li>Object storage (e.g. S3, Azure Blob, GCS)</li>\n<li>Parquet for metadata</li>\n<li>Video: ffmpeg, PyAV, codec fundamentals</li>\n</ul>\n<p><strong>What We&#39;re Looking For:</strong></p>\n<ul>\n<li>Built and operated data pipelines at petabyte scale</li>\n<li>Optimized data loading</li>\n<li>Worked with petabyte-scale video and image datasets</li>\n<li>Written processing jobs operating on millions of files</li>\n<li>Debugged distributed system bottlenecks across large fleets of machines</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience streaming dataset formats (e.g. WebDataset)</li>\n<li>Video codec internals and frame-accurate seeking</li>\n<li>Distributed systems experience</li>\n<li>Slurm and Kubernetes for job orchestration</li>\n<li>Experience with object storage performance tuning across providers</li>\n</ul>\n<p><strong>How We Work Together:</strong></p>\n<ul>\n<li>We&#39;re a distributed team with real offices that people actually use. Depending on your role, you&#39;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&#39;ll cover reasonable travel costs to make this possible. We think in-person time matters, and we&#39;ve structured things to make it accessible to all. We&#39;ll discuss what this will look like for the role during our interview process.</li>\n</ul>\n<p><strong>Everything we do is grounded in four values:</strong></p>\n<ul>\n<li>Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.</li>\n<li>Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.</li>\n<li>Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.</li>\n<li>Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.</li>\n</ul>","enriched_at":1776428788781},{"id":"job_c1dcea75-d5a","title":"Member of Technical Staff - Infrastructure Engineer","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/4925659008","location":"Freiburg (Germany), San Francisco (USA)","job_type":"full-time","experience_level":"staff","work_arrangement":"hybrid","category":"Engineering","description":"We're looking for an experienced engineer to join our team in Freiburg, Germany or San Francisco, USA. As a Member of Technical Staff - Infrastructure Engineer, you will be responsible for maintaining and scaling our research infrastructure, ensuring health and optimizing components to extract peak performance from the system. You will also collaborate with research teams to deeply understand their infrastructure needs and design solutions that balance performance with cost efficiency.\n\nKey responsibilities include:\n\n* Maintaining research infrastructure, ensuring health, and optimizing components to extract peak performance from the system (both on application and infrastructure side)\n* Scaling infrastructure to meet growing research demands while maintaining reliability and performance\n* Collaborating with research teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency\n* Identifying and resolving performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale\n* Building and evolving telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilization, and costs across our cloud and datacenter fleets\n* Participating in on-call rotations and incident response to maintain system reliability\n\nTechnical focus includes:\n\n* Python, Bash, Go\n* Kubernetes\n* Nvidia GPU drivers and operators\n* OTel, Prometheus\n\nRequirements include:\n\n* Experience building or operating large-scale training platforms\n* Worked with large-scale compute clusters (GPUs)\n* Proven ability to debug performance and reliability issues across large distributed fleets\n* Strong problem-solving skills and ability to work independently\n* Strong communication skills and the ability to work effectively with both internal and external partners\n* Deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP\n* Experience with SLURM\n\nWe offer a competitive base annual salary of $180,000-$300,000 USD and a hybrid work model with a meaningful in-person presence.","enriched_at":1776428755745},{"id":"job_5c28c97d-fc5","title":"Member of Technical Staff - Image / Video Generation","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/4132217008","location":"Freiburg (Germany)","job_type":"full-time","experience_level":"staff","work_arrangement":"hybrid","category":"Engineering","description":"<h4>Job Title</h4>\n<p>Member of Technical Staff - Image / Video Generation</p>\n<h4>Job Description</h4>\n<p>We&#39;re the team behind Latent Diffusion, Stable Diffusion, and FLUX,foundational technologies that changed how the world creates images and video. We&#39;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.</p>\n<h4>Why This Role</h4>\n<p>You&#39;ll train large-scale diffusion models for image and video generation, exploring new approaches while maintaining the rigor that helps us distinguish meaningful progress from incremental tweaks. This isn&#39;t about following established recipes,it&#39;s about running the experiments that clarify which architectural choices matter and which are less impactful.</p>\n<h4>What You’ll Work On</h4>\n<ul>\n<li>Trains large-scale diffusion transformer models for image and video data, working at the scale where intuitions break and empirical evidence matters</li>\n<li>Rigorously ablates design choices,running experiments that isolate variables, control for confounds, and produce insights you can actually trust,then communicating those results to shape our research direction</li>\n<li>Reasons about the speed-quality tradeoffs of neural network architectures in production settings where both constraints matter simultaneously</li>\n<li>Fine-tunes diffusion models for specialized applications like image and video upscalers, inpainting/outpainting models, and other tasks where general-purpose models aren&#39;t enough</li>\n</ul>\n<h4>What We’re Looking For</h4>\n<ul>\n<li>You&#39;ve trained large-scale diffusion models and developed strong intuitions about what matters. You know that at research scale, every design choice has tradeoffs, and the only way to know which ones are worth making is through careful ablation. You&#39;re comfortable debugging distributed training issues and presenting research findings to the team.</li>\n</ul>\n<h4>Required Skills</h4>\n<ul>\n<li>Hands-on experience training large-scale diffusion models for image and video data, with practical knowledge of common failure modes and what matters most in training</li>\n<li>Experience fine-tuning diffusion models for specialized applications,upscalers, inpainting, outpainting, or other tasks where understanding the domain matters as much as understanding the architecture</li>\n<li>Deep understanding of how to effectively evaluate image and video generative models,knowing which metrics correlate with quality and which are just convenient proxies</li>\n<li>Strong proficiency in PyTorch, transformer architectures, and the full ecosystem of modern deep learning</li>\n<li>Solid understanding of distributed training techniques,FSDP, low precision training, model parallelism,because our models don&#39;t fit on one GPU and training decisions impact research outcomes</li>\n</ul>\n<h4>Preferred Skills</h4>\n<ul>\n<li>Experience writing forward and backward Triton kernels and ensuring their correctness while considering floating point errors</li>\n<li>Proficiency with profiling, debugging, and optimizing single and multi-GPU operations using tools like Nsight or stack trace viewers</li>\n<li>Know the performance characteristics of different architectural choices at scale</li>\n<li>Have published research that contributed to how people think about generative models</li>\n</ul>\n<h4>How We Work Together</h4>\n<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>","enriched_at":1776428733116},{"id":"job_f77e7c3f-c88","title":"Senior Partnerships Manager","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5014558008","location":"Freiburg (Germany), San Francisco (USA)","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Sales","description":"We're hiring a Senior Partnerships Manager to drive business growth through strategic partnerships and custom deal development. You'll work directly with our technical team to translate research breakthroughs into market opportunities, often before the market knows it needs them. Your role will involve negotiating custom enterprise agreements, developing pricing strategies for capabilities that may not have existed six months ago, and collaborating with Research, Engineering, Finance, and Legal to lead complex product, data, and distribution deals.\n\nYou'll need to have deep technical fluency, either in image/video generation or a technical background such as engineering or solutions architecture. You'll also need to have a proven track record in business development and partnerships in AI, cloud, or technical infrastructure. Strong analytical rigor and market research capabilities are essential, as well as the ability to hold technical conversations with engineers and translate them into commercial strategy.\n\nThis is a remote-friendly role with a base annual salary of $160,000 - $225,000 USD for the San Francisco-based position.","enriched_at":1776428682335}],"category_normalised":[{"category":"engineering","count":8},{"category":"sales","count":3}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":8},{"week_start":"2026-04-20","count":3}],"trend":"stable","wow_pct":-62},"momentum":{"recent_14d":3,"prior_14d":8,"growth_pct":-62,"classification":"decelerating"},"salary_vs_industry":{"company_median":null,"industry_median":null,"percentile":null,"sample_size":0,"by_region":[],"transparency_pct":0,"industry_transparency_pct":0,"transparency_warning":true},"market_share":{"company_jobs":11,"industry_total":11,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.253,"skill_weighted_score":0.275,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"PyTorch","count":4,"score":0.288},{"skill":"Python","count":3,"score":0.258}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":6,"share_pct":54.5},{"region":"EU","count":5,"share_pct":45.5}],"emerging":[{"region":"United States","recent_30d":6,"prior_30d":0,"growth_pct":100},{"region":"EU","recent_30d":5,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":8}}}}