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

BYTEDANCE PTE. LTD.

Singapore, Singapore
Competitive compensation; stock options included; ...
Not specified
Doctoral degree in computer science or related field
Proficiency in c/c++/go/python/java on linux
Deep understanding of distributed system principles
ByteDance is seeking a Machine Learning System Engineer Graduate for a 2026 start date in Singapore. The ideal candidate will hold a PhD in a relevant field and possess programming skills along with experience in distributed systems

Job Summary

  • ByteDance is seeking a PhD graduate to join the Data AML team to research and build ultra-large-scale multimodal recommendation systems.
  • The role involves developing high-performance training frameworks and inference engines using PyTorch while applying heterogeneous hardware solutions.
  • Candidates will work on cutting-edge algorithms including Sparse Mixture of Experts, Memory Networks, and hybrid precision techniques.

Matching Summary

Match Score: 85

ByteDance is seeking a Machine Learning System Engineer Graduate for a 2026 start date in Singapore. The ideal candidate will hold a PhD in a relevant field and possess programming skills along with experience in distributed systems.

Salary

Competitive compensation; Stock options included; Paid leave provided

Skills & Requirements

Must-have

  • Doctoral degree in Computer Science or related field
  • Proficiency in C/C++/Go/Python/Java on Linux
  • Deep understanding of distributed system principles
  • Experience designing large-scale distributed systems
  • Strong logical analysis and decomposition skills

Nice-to-have

  • Collaborative team spirit
  • Good habits in technical documentation
  • Self-motivation and learning ability
  • Interest in AI for Science research

Key Requirements

  • Must hold a doctoral degree (PhD)
  • Graduation date by end of year 2026 required
  • Commitment to onboarding by end of 2026

Work Rights

Not specified

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