Chief Science Officer

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 ). 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 , 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 dep