About the Role
Join an early-stage AI/ML team building data-driven solutions for retail supply chains. This role is suited to a technically strong, quantitatively minded builder who can turn ambiguous problems into practical, production-ready work.
What You'll Do
Develop and deploy machine learning and data science solutions for operational problems.
Work with complex data to build forecasting, optimization, or other quantitative models.
Use agentic AI coding tools in your day-to-day technical work and contribute in a fast-moving startup environment.
What We're Looking For
5 to 10+ years of technical experience, with an engineering, machine learning, or quantitative background; a data science title is not required.
Strong quantitative foundations, such as a rigorous mathematics or other quantitative degree from a highly selective university, or equivalent depth.
Daily experience with agentic AI coding tools such as Claude Code, Cursor, or similar.
Experience as an early startup hire, ideally among the first 15 employees, and the ability to build in a zero-to-one environment.
Production-focused technical skills and comfort working with ambiguity and evolving data. Retail or fresh produce experience is not required.
Based in Berlin or willing to relocate, and comfortable with a highly demanding startup environment.
Compensation & Benefits
Base salary: €70,000 to €110,000 annually. Visa sponsorship is available.
Location
Hybrid in Berlin, Germany. Relocation support is available.