---
title: 'Founding Member of Technical Staff – AI Research Scientist (Image/Video Foundation Models) at GenPeach AI'
canonical: 'https://feeny.ai/job/founding-member-of-technical-staff-ai-research-scientist-image-video-foundation-bddkqn1yjtxp'
type: 'job'
last_seen: '2026-09-05'
---

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

- **Company:** GenPeach AI
- **Location:** Zurich, Switzerland
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-02-04
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/genpeach/b4061342-7902-4cb3-9e66-2430b36b3843

## Job description

## 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.

## ABOUT THE ROLE

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.

## IN THIS ROLE, YOU WILL

- 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

## PREFERRED QUALIFICATIONS

- 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

## WHAT MAKES THIS ROLE UNIQUE

- 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

## HOW WE WORK

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

## LOGISTICS

- 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

## WHAT WE OFFER

- 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

## Company Overview
- **One-liner**: GenPeach AI is a product-driven research lab building vertical foundation models for hyper-realistic, emotionally resonant human image and video generation.
- **Entity Type**: Private (Seed/Angel stage – backed by notable angels and founders from leading AI organizations)
- **Headquarters**: Zurich, Switzerland (with a second hub in Warsaw, Poland)
- **Founded**: 2025
- **Founders**: Not publicly named individually, but described as proven AI research and engineering leaders who built and shipped SOTA GenAI products at Meta AI and Wanna.

## Core Business
- **Primary industry**: Generative AI / Multimodal Foundation Models
- **Target customers**: B2B (developers, content creators, enterprises via API and user interfaces) and B2C (creative professionals seeking human-centered AI tools)
- **Mission**: "Supercharge human creativity instead of replacing it" – building AI that offers unmatched creative freedom and human-centered experiences.

## Products & Services
- **GenPeach Platform (in development)**: A suite of multimodal AI models and interfaces for generating photorealistic images and videos of humans. The stack includes large-scale diffusion models trained on proprietary datasets, accessible via API, web UI, and digital platforms. The company is currently in stealth/early-access waitlist mode.

## Market Standing
- **Valuation / Funding**: Not publicly disclosed. The company is backed by angels and founders from OpenAI, Meta AI, Microsoft AI, Project Prometheus, and Fal.
- **Key Metric**: Total employees ≈ 10 (as of early 2026), with 435 LinkedIn followers and 16.7% monthly headcount growth.
- **Notable Investors/Partners**: Unnamed angels/founders from OpenAI, Meta AI, Microsoft AI, Project Prometheus, Fal. Advisors include Directors from Google DeepMind.
- **Growth Signals**: Company emerged from stealth in late 2025; actively hiring for founding-member-level research and engineering roles; plans to expand presence in Switzerland, Poland, and Dubai.

## Competitive Advantages
- **Specialized vertical foundation models**: Focus exclusively on generating hyper-realistic humans (image/video), differentiating from general-purpose models (e.g., Sora, Runway).
- **Emotionally resonant AI**: Emphasis on multimodal, emotionally aware outputs built on proprietary datasets and novel architectures.
- **Elite founding team**: Deep technical expertise from Meta AI, Google DeepMind, Wanna, and top AI startups, giving credibility and research velocity.

## Strategic Focus
- **Current priorities**: Scaling the core research team, training next-generation diffusion models on proprietary human-centric data, and launching an integrated product that allows creative freedom without replacing human creators.
- **Direction**: Continue pushing the frontier of visual GenAI while building a lean, fast-moving research lab that turns frontier ideas into real products.

## Why Work Here
- **Culture**: "Lean, highly ambitious, fast-moving" – values speed, ownership, and a builder’s mindset over hierarchy.
- **Remote/Hybrid/On-site**: Hybrid workspace with hubs in Zurich and Warsaw; remote-friendly globally (team members in US, Switzerland, Poland); visa sponsorship available for Switzerland, Poland, or Dubai.
- **Perks**: Flexible PTO, regular team offsites, opportunity to work on bleeding-edge research (visual foundation models), direct impact on product and research direction.
- **Engineering culture**: Emphasis on designing and training large-scale models (not just finetuning), high autonomy, and collaboration between research and product.

## Sources
1. [genpeach.ai](https://genpeach.ai/)
2. [genpeach.ai/careers](https://genpeach.ai/careers)
3. [builtin.com](https://builtin.com/company/genpeach-ai)
4. [LinkedIn](https://www.linkedin.com/company/genpeach-ai/)
5. [northdata.com (Swiss Commercial Register)](https://www.northdata.com/GenPeach%20AI%20AG,%20Z%C3%BCrich/CHE-380.073.622)

## Other roles at GenPeach AI

- [Founder's Associate (Generalist)](https://feeny.ai/job/founder-s-associate-generalist-genpeach-ai-munich-z1x01ze48fs0) — Munich, Germany / Zürich, Switzerland
- [Founding GTM Lead](https://feeny.ai/job/founding-gtm-lead-genpeach-ai-new-york-hspy65rtaqhs) — New York, NY
- [Member of Technical Staff – AI Research Engineer (Image/Video Foundation Models)](https://feeny.ai/job/member-of-technical-staff-ai-research-engineer-image-video-foundation-models-wh2r2dx6teq5) — Zurich, Switzerland
- [Wildcard (Exceptional Talent)](https://feeny.ai/job/wildcard-exceptional-talent-genpeach-ai-warsaw-ev46a7syvcqb) — Warsaw, Poland