Member of Technical Staff

You will develop Vision-Language-Action models and foundation architectures for robotic manipulation and navigation. You will create strategies for multimodal data collection, synthetic data generation, and efficient fine-tuning. You will optimize real-time model inference, publish research, and integrate AI models into physical robotic platforms.

Responsibilities

• Design, implement, and scale Vision-Language-Action models and foundation architectures for robotic manipulation and navigation.
• Develop strategies for multimodal data collection, synthetic data generation, and efficient fine-tuning of large-scale models.
• Optimize model inference for real-time robotic applications without compromising reasoning capabilities.
• Publish high-impact papers at top-tier conferences.
• Collaborate with robotics and hardware teams to integrate AI models into physical platforms.

Requirements

• PhD or Master’s degree in Computer Science, Machine Learning, Robotics, or a related field with a focus on Deep Learning and Computer Vision.
• Significant publications and citations at major conferences including NeurIPS, CVPR, ICCV, ICRA, IROS, or CoRL.
• Experience working in leading AI research environments.
• Deep expertise in PyTorch or JAX.
• Experience with Transformers, Diffusion Models, and Large Language Models.
• Strong understanding of Vision-Language models and their application to action and control loops in robotics.

Benefits

• Free meals at the workplace.
• Flexible working hours.
• Option to work from home when needed.
• Access to large-scale compute clusters and proprietary robotic datasets.
• Relocation package for the Zurich area.