Graduate Backend Engineer – Live Recommendation Architecture (2026 start)

About the role

We are seeking a graduate Backend Engineer to join our Live Recommendation Architecture team. The role starts in 2026 and offers the chance to work on high‑performance systems that power live broadcast recommendations for millions of users.

Key responsibilities

• Design, build and maintain high‑performance online services for the Live Recommendation System.
• Develop efficient and reliable data pipelines for candidate generation, profile creation, training example generation and real‑time online training.
• Construct large‑scale, globally distributed recommendation infrastructure.
• Create high‑performance computing frameworks and storage solutions.
• Research, design and implement specialized computer and network software utilities.
• Collaborate with hardware engineers to integrate hardware and software components.

Required profile

• Currently completing or recently graduated with a Bachelor’s or Master’s degree in Computer Science, Software Development, Computer Engineering or a related field.
• Strong communication skills, ownership mindset and drive.
• Experience or interest in areas such as personalized recommendations, search, machine learning, distributed storage or big‑data frameworks is a plus.

Required skills

• Proficiency in at least one programming language: C, C++, Java or Go (Golang).