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Sereact

Member of Technical Staff (m/f/d)

  • Seen live on Sereact's site today
  • Senior
Pay
Not stated
Location
Zurich
Open for
11+ days
First seen
Oct 24, 2026
Apply on Sereact's site (opens in a new tab)

Posting record

No flags

Open 11+ days

The posting's record, oldest first
  1. Sereact's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Sereact, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

PhD asked for
“PhD or Master’s degree in Computer Science, Machine Learning, Robotics, or a related field, with a focus on Deep Learning and Computer Vision.” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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

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