Real Estate AI Systems Intern

Timper; Brussel Hoofdstad; Sur place; EUR 16 000 - 20 000; Plein temps

Avantages offerts par ce poste

Paid internship

Résumé du poste

Timper in Belgium is seeking outstanding Master's students for a paid internship. You will work directly with the founders, with no layers, owning real systems and shipping features across frontend, backend, data, and AI.

You will turn complex real-estate regulations, permits, geospatial layers, and public data into product experiences that users rely on. You will learn how an AI-native company is built from first principles and contribute to fast, end-to-end delivery cycles.

Qualifications

• Must be enrolled in a Master's program in engineering, computer science, data science, mathematics, or related field.
• Strong technical foundation and ability to learn new systems quickly.
• Interest in solving hard, real-world problems and collaborating across product, engineering, and operations.

Responsabilités

• Ship production features across frontend, backend, data, and AI systems with direct mentorship from the founding team.
• Turn complex real-estate regulations, permits, geospatial layers, and public data into product experiences users rely on.
• Contribute to fast end-to-end delivery cycles: from user conversations and prototypes to live releases.
• Build tooling and workflows that improve data quality, model outputs, and engineering velocity.
• Take ownership of scoped projects with clear impact on customers and the business.
• Learn how an AI-native company is built from first principles.

Connaissances

Strong technical foundation

Fast learner

Clear communicator

Ownership mindset

Formation

Master's student in engineering, computer science, data science, mathematics

Description du poste

Timper in Belgium is seeking outstanding Master's students for a paid internship. You will work directly with the founders, with no layers, owning real systems and shipping features across frontend, backend, data, and AI.

You will turn complex real-estate regulations, permits, geospatial layers, and public data into product experiences that users rely on. You will learn how an AI-native company is built from first principles and contribute to fast, end-to-end delivery cycles.