Founding Member of Technical Staff – AI Research Scientist (Image/Video Foundation Models)

We’re looking for an exceptional AI Research Scientist to help lead the next generation of GenPeach AI foundation models. This is a Leadership IC role: you’ll shape research direction through hands-on experimentation, guide technical decisions across the stack, and mentor a small group of researchers while working closely with the founders.

This isn’t “fine-tuning an open-source checkpoint.” It’s building new capabilities through architecture work, training systems, and post-training recipes—then deploying them into production.

• Co-design and train large-scale diffusion models for image and video generation
• Build and iterate on training recipes (pretraining, post-training, control, preference/tuning where relevant) to unlock new model capabilities
• Run rigorous ablations: isolate what works, why it works, and communicate outcomes clearly to drive roadmap decisions
• Reason about speed/quality/cost tradeoffs and make technical choices that materially affect training efficiency and production quality
• Influence and contribute to dataset strategy: curation signals, filtering, evaluations, and feedback loops from product
• Collaborate with engineering/product to productionize research (serving constraints, stability, monitoring, fast iteration)
• Mentor and raise the bar for a small team of researchers through code, reviews, and research hygiene

You might thrive in this role if you

• Have 5+ years of deep learning / applied AI research experience (or equivalent research impact)
• Are strong in Python and PyTorch, and comfortable owning research code that becomes production-critical
• Have hands-on experience training and debugging foundation models (not “black-box use”): you’ve dealt with instability, collapse, data issues, scaling pathologies, and know how to fix them
• Can move fast with good taste: you prioritize the experiments that matter and make decisions with incomplete information
• Communicate research clearly – through writing, plots, ablations, and crisp takeaways
• Take ownership beyond your job description when needed (startup reality)

Minimum qualifications

• 5+ years of experience in AI research / deep learning (industry or academia)
• Excellent grasp of modern generative modeling (e.g., diffusion/flow, GANs, VLMs or adjacent modalities)
• Strong software skills: Python + PyTorch, solid engineering hygiene for experimentation and reproducibility
• Proven ability to drive projects end-to-end with high autonomy

• Experience training large diffusion/flow models for image/video, or adjacent large-scale generative work (LLM/VLM/speech) with transferable scaling and post-training expertise
• Experience training at scale (multi-node, hundreds of GPUs), and understanding distributed training failure modes
• Experience designing model architectures or core training components (losses, conditioners, schedulers, sampling, distillation, etc.)
• Publications at top venues (NeurIPS/ICML/ICLR/CVPR/ICCV/ECCV/ACL) or equivalent research impact
• Experience leading technically (as an IC): mentoring, setting research direction, improving team execution

• Build frontier image/video models end-to-end: data → architecture → training → post-training → production
• High ownership and fast iteration in a lean team—your work directly shapes what we ship
• Collaboration across research and engineering with minimal process overhead
• A chance to compete on the global stage of foundation model quality—and ship results publicly

• Location: Zurich (Switzerland) or Warsaw (Poland) — onsite or hybrid. If you’re elsewhere, we’re open to remote (team/timezone fit considered).
• Compensation: competitive salary + meaningful equity (level-dependent)
• Interview process: quick screen → research round → technical round (practical + systems) → team fit/values

• Visa sponsorship (where applicable); we’ll make a strong effort to relocate you to Switzerland or Poland if desired
• Remote-friendly: work fully remote, hybrid, or on-site from our hubs
• Regular offsites and in-person events to collaborate and connect
• Flexible PTO

About GenPeach AI

GenPeach AI is a product-driven research lab building vertical multimodal foundation models for hyper-realistic human generation in image and video – designed for emotionally resonant, human-centered AI experiences. Our goal is to create tools that supercharge human creativity rather than replace it.

We train models from scratch: proprietary datasets at massive scale, novel architectures and training recipes, large GPU clusters, and tight product integration so research ships to users quickly.

We are a deeply technical team of around 10 people. We’re advised by Directors from Google DeepMind and backed by leading AI-focused funds and angels from OpenAI, Meta AI, Microsoft AI, Project Prometheus, and Fal. Collectively, our team, advisors, and angels have contributed to models including Meta’s Imagine/MovieGen and foundation-model work behind OpenAI’s Sora, plus Google’s Veo and Gemini.

How we work

• High ownership and accountability
• Direct, low-ego communication
• Bias toward impact: measure → iterate → ship
• Strong technical standards and research discipline