Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 241 days ago

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

genpeach4 open roles

Where
Zurich
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowFounding Member of Technical Staff – AI Research Scientist (Image/Video Foundation Models)genpeach · Zurich

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on genpeach's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 241 days ago

The posting

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

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against genpeach's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on genpeach's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    genpeach's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.