Founding AI Research Scientist - Leadership IC

Sarah Smith Fund; Zürich; Híbrido; CHF 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Visa sponsorship (where applicable)

Remote-friendly/hybrid/onsite options

Regular offsites and in-person events

Flexible PTO

Descripción de la vacante

GenPeach AI in Zurich, Switzerland, is seeking an exceptional AI Research Scientist in a Leadership IC role: you will shape research direction, architect core capabilities, and mentor a small research team while collaborating with founders.

You’ll work on building large-scale diffusion and related models, design training recipes, balance speed, quality and cost, and deploy research to production with practical impact in a lean startup environment.

Formación

• 5+ years of AI research experience (industry or academia).
• Strong grasp of modern generative modeling (diffusion/flow, GANs, VLMs).
• Proficient in Python and PyTorch with production-grade code hygiene.
• Ability to drive projects end-to-end with high autonomy.

Responsabilidades

• Co-design and train large-scale diffusion models for image/video generation.
• Develop training recipes (pretraining, post-training, tuning) to unlock model capabilities.
• Run rigorous ablations and report outcomes to guide roadmap decisions.
• Balance speed, quality and cost in training and production.
• Contribute to dataset strategy with curation signals and feedback loops.
• Collaborate with engineering to productionize research and ensure stability.

Conocimientos

5+ years of AI research experience

Python

PyTorch

Research code production-grade

Fast iteration

Clear research communication

Herramientas

Python

PyTorch

Descripción del empleo

GenPeach AI in Zurich, Switzerland, is seeking an exceptional AI Research Scientist in a Leadership IC role: you will shape research direction, architect core capabilities, and mentor a small research team while collaborating with founders.

You’ll work on building large-scale diffusion and related models, design training recipes, balance speed, quality and cost, and deploy research to production with practical impact in a lean startup environment.