10 дней назад
AI Research Engineering Lead
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
AI Research Engineering Lead (AI/Robotics): Building and scaling multimodal video-action foundation models for dexterous robots with an accent on generative modeling, distributed pre-training, and real-world deployment. Focus on designing large-scale architectures, managing the data pipeline from human teleoperation to robot evaluations, and leading cross-functional AI research and engineering.
Location: Zurich, Switzerland, with full-time in-person work; San Francisco-based candidates will also be considered. Relocation to Zurich is supported.
Company
is a physical AI and robotics company building general-purpose dexterous manipulation systems, including video-action models and in-house dexterous hand hardware.
What you will do
- Co-lead the AI team and advance multimodal video-action models with stronger generalization for industrial robotics tasks.
- Lead research, architecture design, and training for large-scale multitask foundation models across pre-training and post-training.
- Manage the end-to-end data pipeline from human teleoperation data specification through training, fine-tuning, and real-world robot evaluations.
- Guide AI research engineers and scientists while setting standards for ML engineering, experimental velocity, and empirical evaluation.
- Partner with hardware and robotics teams on data collection, model benchmarking, and stable real-world deployment.
Requirements
- PhD in computer science or machine learning, or equivalent PhD-level industry research experience.
- 3+ years of experience building and scaling generative architectures such as diffusion, flow matching, autoregressive, vision-language, or video models.
- 4+ years of hands-on PyTorch or similar development, including multi-GPU pre-training with FSDP, DeepSpeed, or Megatron and knowledge of scaling laws.
- Proven experience mentoring engineers, supervising PhD interns, or leading collaborative research projects.
- Based in or willing to relocate to Zurich for full-time, in-person work; San Francisco-based candidates will also be considered.
- Deep model-building experience is required; classical control/RL without generative modeling and application-level RAG/API wrapper experience are out of scope.
Culture & Benefits
- Direct ownership of core AI strategy in a flat, fast-moving environment.
- Modern GPU compute and hardware test benches.
- Free gym and sports subscriptions and team meals.
- Full relocation support.
- Close collaboration with founders and robotics specialists.
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