20 beste Stellen als researcher in glattbrugg zh – aktuell auf Personalsuche

Founding Member of Technical Staff – AI Research Scientist (Image/Video Foundation Models)
GenPeach AI —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Forschungserfahrung
- Master
- Python
Direkt bewerben
Senior Research Engineer - Video Foundation Models (Pre - Training)
Synthesia —Zürich, ZH
- 100%
- Hybrides Arbeiten
- AWS
- Kommunikationsfähigkeit
- Python
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Universität Zürich —Zürich, ZH
- 100%
- Forschungserfahrung
- Master
- Softwareentwicklung
- Weiterbildungen
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ETH Zürich —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Forschungserfahrung
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ETH Zürich —Zürich, ZH
- 100%
- Doktorat
- Forschungserfahrung
- Master
Professorship in Gender Economics
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- 100%
- Doktorat
- Englisch
- Weiterbildungen
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LatticeFlow AI —Zürich, ZH
- 100%
- Master
- Bachelor
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Direkt bewerben
Scientist - Reliability Engineering (f/m/d)
Hitachi —Baden, AG
- 100%
- Homeoffice
- Doktorat
- Englisch
- Forschungserfahrung
10 Std.
Tech Lead: Manufacturing Intelligence
SAEKI Robotics AG —Kloten, ZH
- 100%
- Doktorat
- Master
- Mentoring
Direkt bewerben
Senior Software Engineer – Software as a Medical Device (w/m/d) 80–100 %
Universitätsklinik Balgrist —Zürich, ZH
- 100%
- Doktorat
- Master
- Softwareentwicklung
Product Marketing Manager (Zurich)
Legartis Technology AG —Zürich, ZH
- 100%
- Englisch
- Führungserfahrung
- Kommunikationsfähigkeit
Direkt bewerben
Research Scientist – Physics of Failure & Reliability (f/m/d)
Hitachi —Baden, AG
- 100%
- Homeoffice
- Doktorat
- Englisch
- Forschungserfahrung
Postdoc Position in Experimental Quantum Engineering (EQE) Group
ETH Zürich —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Kommunikationsfähigkeit
Member of Technical Staff (Backend & Infrastructure)
Jua —Zürich, ZH
- CHF 125’000 - CHF 160’000 pro Jahr
- 100%
- Hybrides Arbeiten
- Microsoft Excel
- Datenbanken
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Member of the technical staff (Software Engineer)
Jua —Zürich, ZH
- CHF 125’000 - CHF 160’000 pro Jahr
- 100%
- Hybrides Arbeiten
- Microsoft Excel
- AWS
- Bachelor
Member of the technical staff (Frontend Engineer)
Jua —Zürich, ZH
- CHF 125’000 - CHF 160’000 pro Jahr
- 100%
- Hybrides Arbeiten
- SQL
- JavaScript
- Python
Senior HPC and AI Network Software Architect
NVIDIA —Zürich, ZH
- CHF 221’250 - CHF 507’000 pro Jahr
- 100%
- Informatik
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- C++
Lead Kernel Engineer/Architect
EPAM Systems, Inc. —Zürich, ZH
- C++
- Bachelor
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CISO / Head of IT Security - Fulltime Hybrid
RetinAI Medical —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
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Direkt bewerben
Senior Software Engineer - Mission Control (m/w/d)
Consulteer —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
- C++
- Bachelor
Direkt bewerben

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

GenPeach AI
Zürich, ZH

Direkt bewerben

Details zur Stelle

100%

Qualifikationen

Forschungserfahrung
Master
Microsoft Project
Python
Debugging

Vollständige Stellenbeschreibung

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

Direkt bewerben

Erweiterte Suche

researcher Jobs in glattbrugg zh

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

Senior Research Engineer - Video Foundation Models (Pre - Training)

AI Software Engineer

Postdoctoral Position in Machine Learning for Automated Plant Phenotyping (PhenoMix Project)

Senior NLP Data Scientist

Professorship in Gender Economics

Full-Stack Engineer

Scientist - Reliability Engineering (f/m/d)

Tech Lead: Manufacturing Intelligence

Senior Software Engineer – Software as a Medical Device (w/m/d) 80–100 %

Product Marketing Manager (Zurich)

Research Scientist – Physics of Failure & Reliability (f/m/d)

Postdoc Position in Experimental Quantum Engineering (EQE) Group

Member of Technical Staff (Backend & Infrastructure)

Member of the technical staff (Software Engineer)

Member of the technical staff (Frontend Engineer)

Senior HPC and AI Network Software Architect

Lead Kernel Engineer/Architect

CISO / Head of IT Security - Fulltime Hybrid

Senior Software Engineer - Mission Control (m/w/d)