ML Research Engineer — Recommender Systems

ByteDance; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

ByteDance is seeking a highly skilled PhD holder to join the Research & Development team focused on cutting‑edge recommendation systems for a leading short‑video platform. You will tackle challenges in real‑time scoring, personalization, and scalable architecture, contributing to research and production systems that serve hundreds of millions of users. You will work in a collaborative, fast‑paced environment.

Qualifications

• PhD or equivalent in AI, CS, mathematics, or related field.
• Strong programming fundamentals and software design abilities.
• Excellent problem‑solving, analytical skills and team collaboration.
• Experience with ML, NLP, data mining; recommender systems or search engines is a plus.

Responsibilities

• Collaborate with R&D team to advance short‑video platform recommendations.
• Work on scalable systems, service architecture, and infrastructure for global users.
• Contribute to research on LLMs, GNNs, and end‑to‑end modeling for better recommendations.

Skills

Strong programming

Analytical skills

Teamwork & communication

ML/NLP/Datascience familiarity

Education

PhD in AI/CS/Math

Job description

ByteDance is seeking a highly skilled PhD holder to join the Research & Development team focused on cutting‑edge recommendation systems for a leading short‑video platform. You will tackle challenges in real‑time scoring, personalization, and scalable architecture, contributing to research and production systems that serve hundreds of millions of users. You will work in a collaborative, fast‑paced environment.