Machine Learning System Engineer Graduate (AML) - 2026 Start (PhD)

ByteDance; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

ByteDance is seeking recent graduates to join their team in 2026. This role involves research on large-scale recommendation systems and other engineering projects. Candidates must hold a doctoral degree, preferably in Computer Science or Software Engineering, and have proficiency in programming languages such as C/C++/Go/Python/Java.

The position requires strong logical analysis skills, collaboration spirit, and responsibility. Good habits in technical documentation are also necessary. Apply now to join our innovative teams!

Qualifications

• Doctoral degree, preferably in Computer Science, Software Engineering or related fields.
• Proficiency in one or more programming languages (C/C++/Go/Python/Java) in a Linux environment.
• Deep understanding of distributed system principles and experience designing, developing and maintaining large-scale distributed systems.
• Excellent logical analysis skills, able to abstract and decompose complex business logic, with a collaborative team spirit.
• Strong sense of responsibility, good learning ability, communication skills and self-motivation.
• Good habits in technical documentation, including timely writing and updating of work processes and technical documents as required.

Responsibilities

• Research project on large-scale recommendation systems.
• Other engineering research directions such as multimodal, high-performance inference engine/training framework.
• Algorithmic research directions such as search, recommendation, ranking.

Skills

Proficiency in C/C++/Go/Python/Java

Logical analysis skills

Collaboration

Communication skills

Self-motivation

Education

Doctoral degree in Computer Science, Software Engineering or related fields

Job description

We are looking for recent graduates to join our team in 2026. Candidates must be able to commit to an onboarding date by the end of year 2026.

Responsibilities

• Research project on large-scale recommendation systems.
• Other engineering research directions such as multimodal, high-performance inference engine/training framework.
• Algorithmic research directions such as search, recommendation, ranking.

Qualifications

• Doctoral degree, preferably in Computer Science, Software Engineering or related fields.
• Proficiency in one or more programming languages (C/C++/Go/Python/Java) in a Linux environment.
• Deep understanding of distributed system principles and experience designing, developing and maintaining large-scale distributed systems.
• Excellent logical analysis skills, able to abstract and decompose complex business logic, with a collaborative team spirit.
• Strong sense of responsibility, good learning ability, communication skills and self-motivation.
• Good habits in technical documentation, including timely writing and updating of work processes and technical documents as required.