---
title: 'Chief Science Officer at Sereact'
canonical: 'https://feeny.ai/job/chief-science-officer-sereact-stuttgart-jcxrqsj7pzcy'
type: 'job'
last_seen: '2026-11-02'
---

# Chief Science Officer at Sereact

- **Company:** Sereact
- **Location:** Stuttgart, Germany
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-22
- **Last confirmed live:** 2026-11-02
- **Apply:** https://jobs.ashbyhq.com/sereact/1c0d95eb-62a4-4b65-8047-b4ff36d0c13e

## Job description

Chief Science Officer @ Sereact 🦾 Chief Science Officer (m/f/d) · Zurich or Stuttgart, Boston possible · Reports to the CEO · Full-time

## Who we are

Sereact builds the robot brain for physical work. Cortex, our vision-language-action foundation model, is hardware-agnostic: the same model runs single-arm and dual-arm systems, mobile manipulators and humanoids that pick, sort and handle returns in live production across Europe and the US. Customers include Zalando, IKEA, BMW, Rohlik and DHL. Founded in 2021 in Stuttgart, with an R&D hub in Zurich and a US office in Boston. We have raised more than $145 million, most recently a $116 million Series B led by Headline, with Zalando as a strategic investor. We work in small, senior teams with a flat structure; execution counts more than titles.

## Why this role, why now

Our robots produce data no lab can stage. Our fleet has recorded more than 500 million manipulation interactions in live warehouse operations; Cortex 2.0 was trained on a curated 10 million of them and added a world model that plans before it acts ([arXiv 2604.20246](https://arxiv.org/abs/2604.20246)). [Cortex 2.5](https://sereact.ai/posts/cortex-2-5) learns a new task from a few demonstrations instead of a training run. Deployments are growing from single robots to fleets, and the research team is growing with them. We now want one scientific leader who owns the research behind Cortex end to end and turns what our fleet experiences every day into the next step change in what robots can do.

The Real-World Learning Loop is your system Sereact is a frontier research lab and a production-grade robotics company in one. Our bet: general-purpose robotic intelligence “must be learned from live deployments” ([The Real-World Learning Loop](https://sereact.ai/posts/real-world-learning-loop), Feb 2026). Every stage of that loop is yours to raise:

- In-Situ Policy Execution. Every robot in production runs the current policy, and every shift is an experiment. You decide what the policies expose for learning.
- Continuous Data Acquisition. Robots annotate their own interactions while they work. You decide what is worth recording and which situations the fleet should go and find.
- Data Curation and Learning. Novelty, uncertainty, failures and distribution shift decide what we learn from. You own the curation and the training recipe.
- Evaluation and Policy Redeployment. Updated policies pass validation gates before they return to the fleet. You set the bar, and how fast we can clear it safely.

Every deployment teaches the next one. Your job is to make that loop turn faster and teach more each time.

## Responsibilities

- Set the research agenda for Cortex: vision-language-action models, world models and planning, learning from interaction on real robots, and generalization across tasks and embodiments.
- Make the big bets: which directions get people and compute, and which ones we stop.
- Own the data strategy: the mix of deployment, teleoperation, open-source and synthetic data, and what the fleet collects next.
- Own the compute strategy, from large-scale training to real-time inference on the robot.
- Build the evaluation science: benchmarks that predict performance in a customer’s operation, not only on a leaderboard.
- Build and lead the research organisation in Zurich and Stuttgart: structure, leads, rhythm.
- Set the hiring bar and make Sereact the place the best people in robot learning want to join.
- Take research into production with engineering, so results reach the fleet in weeks and hold up in 24/7 operation.
- Decide with the founders what we publish, open-source or patent, and build our standing at CoRL, RSS, ICRA, NeurIPS and ICML.
- Be Sereact’s scientific voice with customers, partners, universities and investors, and build academic partnerships.
- Partner with the CTO, product and operations, so research, engineering and deployment pull in one direction.

Not in scope, by design

- Software platform, hardware and field deployment engineering. They stay with the CTO and operations: the CTO owns how we build and ship, you own what we learn next.
- A research lab beside the business. Research at Sereact ends on a robot, ideally at a customer.
- Product roadmap and pricing.

What makes this role hard

- Research and production compete for the same robots, people and compute. You make that trade-off every week, in the open.
- Cortex is not a blank page. It already runs in customer operations, and our founders are deeply technical. You raise the ceiling of a running system.
- A result counts when it holds up in a customer’s operation, not when the paper is accepted.

## Your first 12 months

- First 90 days: know the fleet, the data and the team; agree the research roadmap with the founders; one evaluation standard everyone uses.
- By month 6: a research organisation with clear ownership and a release rhythm from experiment to fleet.
- By month 12: a new generation of Cortex in customer operations with measurable gains, key senior hires made, and work that puts Sereact on the map of robot learning.

## What you bring

- You have led research in robot learning or embodied AI (VLA models, imitation or reinforcement learning, world models) and built a team around it.
- Your work runs on real robots, ideally outside the lab and for long stretches. You know what breaks first.
- Scientific standing: a strong record at the top venues and a network that great researchers want to join.
- You have made real calls on research bets, data and compute, and stopped what did not work.
- You explain science to engineers, customers and investors alike, and you enjoy it.
- PhD in machine learning, robotics or a related field, or an equivalent track record.

Nice to have: large-scale pretraining of foundation models · fleet learning or data engines · industrial manipulation · experience in both academia and industry.

Three questions we will ask you

- Tell us about a model you took from a paper to a robot that ran for weeks without you. What broke first?
- If you had our deployment data tomorrow, which bet would you make first, and what would you stop?
- How do you decide what to publish and what to keep?

## What we offer

- Robots in live production that learn every day, and the data that comes with them.
- A seat in the leadership team of a company scaling from Europe into the US, with meaningful equity.
- Large-scale compute and the freedom to build the research organisation you would want to work in.
- Teams in Stuttgart, Zurich and Boston; relocation support.

## How we hire

Conversations with both founders, a research deep dive with the team, and a working session on a real problem from our deployments. We move fast.

## About Sereact

## Company Overview
- **One-liner**: Sereact provides an embodied AI software layer that enables autonomous robotic picking, sorting, and inspection in industrial warehousing and logistics.
- **Entity Type**: Private (Series B – $110M raised in May 2026)
- **Headquarters**: Stuttgart, Germany (with additional offices in Mason, Ohio, USA and Boston, Massachusetts, USA)
- **Founded**: 2021
- **Founders**: Not publicly listed (the company was founded by a team of engineers from the University of Stuttgart / ARENA2036 ecosystem)

## Core Business
- **Primary industry**: Industrial robotics / AI software for logistics and supply chain
- **Target customers**: B2B – 3PLs, e‑commerce fulfillment centers, manufacturing, and retail enterprises
- **Mission**: “Bridging the gap between artificial intelligence and physical execution” – building the foundational software layer for the next era of industrial robotics.

## Products & Services
- **Cortex (VLAM – Vision Language Action Model)**: The core AI brain that enables zero-shot adaptation across standard 6‑axis and humanoid robot arms. Handles picking, placing, sorting, and inspection without retraining or tuning.
- **Robotic Picking**: Autonomous pick‑and‑place with 98% first‑attempt success and peak speeds >650 UPH.
- **Putwall Automation**: Batch picking and sortation for high‑throughput fulfillment.
- **Return Handling**: Automated inspection, sorting, and routing of returned items.
- **Embodied AI for Humanoids**: Dexterity module for changing tasks and mixed‑SKU environments.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric – Total Funding**: $140.78M (including $110M Series B led by Headline, closed ~May 2026)
- **Notable Investors/Partners**: Headline (lead Series B); customers include Daimler Truck, Material Bank, Ludwig Meister
- **Growth Signals**:
  - 50+ deployments across five continents
  - 500M+ real production picks processed
  - 99.9% uptime in live environments
  - 1 robot replaces 3–4.5 FTE, saving customers up to €111,000/month
  - Expansion into US market (offices in Ohio and Boston)

## Competitive Advantages
- **Zero‑shot adaptability**: No retraining or retooling required when SKU mix changes – works out of the box on new items.
- **Production‑proven VLAM**: Trained on millions of real‑world picks; works in brownfield sites, not just lab conditions.
- **High reliability**: 98% first‑attempt pick success, >99% uptime, minimal human intervention (1 intervention per ~53,000 picks).
- **Platform agnostic**: Supports standard 6‑axis and humanoid robot architectures.

## Strategic Focus
- Scale deployments globally, especially in the US and Europe.
- Continue advancing the Vision Language Action Model to handle increasingly complex manipulation tasks (e.g., humanoid dexterity).
- Deepen partnerships with major logistics and manufacturing players.
- Grow engineering and research teams to accelerate product development.

## Why Work Here
- **Culture**: Fast‑paced, collaborative, with a strong emphasis on ownership and end‑to‑end project responsibility. Described as “uncharted territories” – ideal for engineers who want to push boundaries.
- **Flexibility**: Flexible working hours and remote/hybrid options (specific policy not detailed, but “flexible working” is listed as a standard benefit).
- **Perks**: Wellpass (wellness/fitness membership), regular team events, and a modern office in Stuttgart’s ARENA2036 innovation hub.
- **Engineering focus**: Work on cutting‑edge embodied AI, computer vision, and robotics – from research to deployment. Steep learning curve and visible impact.
- **Global exposure**: Opportunities to work across European and US teams.

## Sources
1. [sereact.ai – Homepage](https://sereact.ai/)
2. [sereact.ai – About](https://sereact.ai/about)
3. [sereact.ai – Careers](https://sereact.ai/careers)
4. [jobs.ashbyhq.com – Sereact Job Board](https://jobs.ashbyhq.com/sereact)
5. [cbinsights.com – Sereact Company Profile](https://www.cbinsights.com/company/sereact)

## Other roles at Sereact

- [Field Marketing Manager](https://feeny.ai/job/field-marketing-manager-sereact-stuttgart-vs2b6gxy3dhq) — Stuttgart, Germany
- [Partner Manager (m/f/d)](https://feeny.ai/job/partner-manager-m-f-d-sereact-germany-3vcxd9mgdp4t) — Germany
- [Director Technical Support & Field Service](https://feeny.ai/job/director-technical-support-field-service-sereact-stuttgart-6rgvn8b0khc8) — Stuttgart, Germany
- [Director Supply Chain & Hardware Operations](https://feeny.ai/job/director-supply-chain-hardware-operations-sereact-stuttgart-54cb5rwvzvpj) — Stuttgart, Germany
- [Director NPI & Industrialization](https://feeny.ai/job/director-npi-industrialization-sereact-stuttgart-2n9b5qsy59rw) — Stuttgart, Germany
- [Internship G2M (m/f/d)](https://feeny.ai/job/internship-g2m-m-f-d-sereact-stuttgart-szp64ba16kq1) — Stuttgart, Germany
- [Senior Support Engineer](https://feeny.ai/job/senior-support-engineer-sereact-boston-87rvr3pe58y4) — Boston, MA
- [Member of Technical Staff (m/f/d)](https://feeny.ai/job/member-of-technical-staff-m-f-d-sereact-zurich-kdcnsnp7bq1j) — Zurich, Switzerland
- [Mechanical Design Engineer](https://feeny.ai/job/mechanical-design-engineer-sereact-boston-hafyy6q4wytn) — Boston, MA
- [Electrical Engineer](https://feeny.ai/job/electrical-engineer-sereact-boston-mffg80t4dgqt) — Boston, MA