Chief Science Officer
Sereact is a Stuttgart-based physical-AI robotics company whose Cortex software enables autonomous warehouse and manufacturing operations across robot platforms.
Funding history
About Sereact
Sereact GmbH develops embodied-AI software for industrial robotics. Its Cortex system provides vision-language-action intelligence for tasks including robotic picking, returns handling, sorting, and warehouse inspection; the company also offers products such as Sereact Lens and its operational data platform.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own the end-to-end research direction for vision-language-action models, world models, planning, robot learning, data strategy, compute, evaluation, and policy redeployment. You will build and lead the research organisation, make research investment decisions, establish evaluation standards, and bring validated results into live robot deployments. You will also represent the scientific work with customers, partners, universities, investors, and leading research venues.
Requirements
- Leadership experience in robot learning or embodied AI research
- Experience with vision-language-action models, imitation learning or reinforcement learning, or world models
- Experience building a research team
- Experience deploying work on real robots, ideally outside the lab for extended periods
- Strong scientific record at leading research venues
- Experience making research, data, and compute investment decisions
- Ability to explain scientific work to engineers, customers, and investors
- PhD in machine learning, robotics, or a related field, or equivalent track record
Responsibilities
- Set the research agenda for vision-language-action models, world models, planning, robot interaction learning, and generalization
- Make research investment decisions across people, compute, and technical directions
- Own the data strategy across deployment, teleoperation, open-source, and synthetic data
- Own the compute strategy for large-scale training and real-time robot inference
- Build evaluation benchmarks that predict customer-operation performance
- Build and lead the research organisation in Zurich and Stuttgart
- Set the hiring bar for research talent
- Bring research results into production with engineering
- Decide what to publish, open-source, or patent with the founders
- Represent the scientific work with customers, partners, universities, and investors
- Partner with technology, product, and operations leadership on research and deployment
Benefits
- Meaningful equity
- Relocation support
- Large-scale compute
Hiring Process
Conversations with both founders, a research deep dive with the team, and a working session on a real deployment problem.