VLA Researcher

sereact • Switzerland
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AI Summary

Join our R&D hub in the Zurich area to develop Vision-Language-Action (VLA) models for robots. Design, implement, and scale VLA models and foundation architectures for robotic manipulation and navigation. Contribute to the global research community by publishing high-impact papers at top-tier conferences.

Key Highlights
Develop VLA models for robots
Research and development of VLA models
Publish high-impact papers at top-tier conferences
Key Responsibilities
Design, implement, and scale VLA models and foundation architectures for robotic manipulation and navigation
Develop strategies for multi-modal 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
Contribute to the global research community by publishing high-impact papers at top-tier conferences
Technical Skills Required
PyTorch JAX Transformers Diffusion Models Large Language Models (LLMs)
Benefits & Perks
Wellpass (gym membership)
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
Competitive compensation and a relocation package for the Zurich area

Job Description


Who We Are:

We are a rapidly growing embodied AI company revolutionizing human labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across multiple industries—empowering businesses to streamline operations, boost productivity, and unlock new possibilities.

Overview:

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.

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.

Location:

Zurich Area, Switzerland:

  • This role is based in our Zurich office, offering a vibrant ecosystem for robotics and AI.

What we offer:

  • Wellpass (gym membership).
  • 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


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