Senior Research Scientist

YOUR RESPONSIBILITIES:

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.

QUALIFICATIONS:

Academic Excellence:

• 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.

WHAT WE OFFER:

• Free meals at the workplace.
• 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