Senior Research Scientist (m/f/d)
TECHNICAL STACK · 3 TAGS
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 Senior Research Scientist 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
REQUIREMENTS
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.
Zurich Area, Switzerland
- This role is based in our Zurich office, offering a vibrant ecosystem for robotics and AI.
QUESTIONS AND ANSWERS
- Where is this Senior Research Scientist (m/f/d) role based?
- The role is based in Zurich.
- What experience does Sereact expect for this role?
- The posting is tagged as a senior-level role, typically 5+ years of experience. Check the requirements section for specifics.
- Where is Sereact headquartered?
- Sereact is headquartered in Stuttgart, Germany.
- How was this posting sourced?
- This role was pulled directly from Sereact's Ashby careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
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