Member of Technical Staff (m/f/d)

Sereact
Zürich, Switzerland
On-site

Who this role is best for

Best suited to robotics researchers with a focus on AI and computer vision, working in a collaborative, full-time setting in Zurich.

Best fit for

  • Candidates with strong academic research backgrounds in computer vision and robotics
    — “PhD or Master’s degree in Computer Science, Machine Learning, Robotics, or a related field, with a focus on Deep Learning and Computer Vision.”
  • Individuals experienced in developing and publishing high-impact AI research papers
    — “Significant publications and citations at major conferences such as NeurIPS, CVPR, ICCV, ICRA, IROS, or CoRL.”
  • Professionals comfortable with both theoretical AI models and real-world robotic deployment
    — “Bridging the gap between state-of-the-art research and deployed embodied intelligence.”

Things to consider

  • Requires relocation to Zurich, despite the option to work from home occasionally
    — “Competitive compensation and a relocation package for the Zurich area”
  • Strong emphasis on multi-modal data strategies and model scaling
    — “Develop strategies for multi-modal data collection, synthetic data generation, and efficient fine-tuning of large-scale models.”

How to stand out

  • Highlight experience with VLA models and their implementation in robotic systems
    — “Design, implement, and scale VLA models and foundation architectures for robotic manipulation and navigation.”
  • Demonstrate ability to optimize AI models for real-time robotic performance
    — “Optimize model inference for real-time robotic applications without compromising reasoning capabilities.”
  • Emphasize track record in publishing at top-tier AI and robotics conferences
    — “Contribute to the global research community by publishing high-impact papers at top-tier conferences (NeurIPS, CVPR, ICRA, CoRL, etc.).”
Pace · SteadyCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed and scaled VLA models and foundation architectures
  • Optimized model inference for real-time robotic applications
  • Published high-impact papers at top-tier conferences
Typical background
PhD or Master’s degree in Computer Science, Machine Learning, Robotics, or a related fieldExperience working in leading AI research environments

Skills & requirements

Required

Vision-language-action (vla) ModelsLarge-scale Foundation ModelsRobotic Manipulation And NavigationMulti-modal Data CollectionSynthetic Data GenerationEfficient Fine-tuning Of Large-scale ModelsModel Inference OptimizationPublications At Major Conferences

Preferred

Experience With Hardware ComponentsExperience With Real-time Robotic Applications

Stack & domain

PyTorchJAXTransformersDiffusion ModelsLarge Language Models (llms)ResearchCollaborationRoboticsAIComputer Vision

About the role

Original posting from Sereact via Ashby

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 robotics professionals 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:

  • 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

Source: Sereact careers (Ashby)

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