Chief Science Officer

present of AI; Stuttgart; Hybrid; EUR 180,000 - 240,000; Full time

Job summary

Sereact is seeking a Chief Science Officer to steer research in robot learning and perception and to translate breakthroughs into products that operate in real warehouses and factories. This leadership role focuses on aligning science bets with industrial feasibility and delivering value on the factory floor.

The candidate should have deep expertise in computer vision, manipulation or robot learning, and a track record of leading teams and shipping applied AI systems.

Qualifications

• Deep research depth in computer vision, manipulation or robot learning.
• Experience leading research teams and shipping applied systems.
• Ability to translate research advances into production-ready robot software.

Responsibilities

• Set the research direction and translate advances into products for warehouses and factories.
• Lead research teams and drive production deployments at scale.
• Balance industrial feasibility with novel AI bets on the factory floor.

Skills

Robot learning

Research leadership

Applied AI shipping

Industrial deployment

Job description

A chief science officer at a robotics software company typically sets the research direction and turns advances in robot learning and perception into products that work in real warehouses and factories. A strong candidate brings deep research depth in computer vision, manipulation or robot learning, plus a record of leading research teams and shipping applied systems. Clear thinking about which science bets pay off in messy industrial settings matters more than publication count alone.

How it fits the AI era

This role sits at the center of the AI era, since the company's product is AI that lets robots see and act. AI tools speed up experimentation, simulation and model iteration, but choosing the right problems, judging what will hold up on a factory floor and guiding a research team stay human. The job is less about building one model and more about setting direction where AI meets physical work.

How it builds AI experience

The role offers experience in applied robot learning, from perception to grasping, tested against real industrial tasks rather than benchmarks. Building that background means hands-on work with vision and manipulation models, simulation to real transfer, and evaluating systems under warehouse conditions. Leading research that reaches production is the strongest proof of readiness.

Worth showing

• Robot learning research
• Research team leadership
• Sim to real transfer
• Applied AI shipping record

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Sereact

Sereact builds AI software that gives robots the intelligence to pick, sort, and inspect objects in warehouses and manufacturing, per the company.