VLA Researcher
Role details
Job location
Tech stack
Job description
We are looking for a world-class VLA Researcher to join our R&D hub in the Zurich area. In this role, you will be at the forefront of developing Vision-Language-Action (VLA) models that enable robots to understand and interact with the world with unprecedented generalization. You will work on the intersection of large-scale foundation models and real-world robotic execution, bridging the gap between state-of-the-art research and deployed embodied intelligence., Research & Development:
- Design, implement, and scale VLA models and foundation architectures for robotic manipulation and navigation.
Scaling Laws & Data:
- Develop strategies for multi-modal data collection, synthetic data generation, and efficient fine-tuning of large-scale models.
Algorithm Optimization:
- Optimize model inference for real-time robotic applications without compromising reasoning capabilities.
Publication & Visibility:
- Contribute to the global research community by publishing high-impact papers at top-tier conferences (NeurIPS, CVPR, ICRA, CoRL, etc.).
Collaboration:
- Work closely with the Core Robotics and Hardware teams to integrate AI models into our physical platforms.
Requirements
Do you have experience in Research?, Do you have a Master's degree?, * PhD or Master's degree in Computer Science, Machine Learning, Robotics, or a related field, with a focus on Deep Learning and Computer Vision.
Proven Research Track Record:
- Significant publications and citations at major conferences such as NeurIPS, CVPR, ICCV, ICRA, IROS, or CoRL.
Professional Background:
- Experience working in leading AI research environments
Technical Mastery:
- Deep expertise in PyTorch or JAX, experience with Transformers, Diffusion Models, and Large Language Models (LLMs).
Domain Knowledge:
- Strong understanding of Vision-Language models and their application to Action/Control loops in robotics.
Benefits & conditions
- Flexible working hours and the option to work from home when needed.
- Direct collaboration with founders and world-leading AI experts.
- Access to large-scale compute clusters and proprietary robotic datasets.
- A key role in shaping the future of embodied AI.
- Competitive compensation and a relocation package for the Zurich area