Senior ML Infrastructure Engineer – Global Scale Systems

ByteDance; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance seeks a seasoned ML infrastructure engineer to advance a global-scale machine learning stack for feeds, ads and search ranking. You will design, implement and scale core ML services powering a multi-tenant platform.

We expect strong programming skills (C/C++/CUDA/Python), hands-on experience with TensorFlow or PyTorch, and a proven track record deploying large-scale ML systems. Join a team that values innovation, collaboration, and impact.

Qualifications

• 5+ years of experience in developing and deploying large-scale systems.
• Proficient in C/C++/CUDA/Python with strong programming skills.
• Familiar with TensorFlow/PyTorch (and related frameworks).
• Experience improving core ML infrastructure (TensorFlow, PyTorch, Jax).

Responsibilities

• Design and implement a global-scale ML system for feeds, ads and search ranking models.
• Improve usability and flexibility of ML infrastructure.
• Enhance data pipelines, storage, and resource management for multi-tenant ML systems.
• Design and develop key ML infrastructure components and mentor interns.

Skills

Large-scale systems

C/C++/CUDA/Python

Deep learning frameworks

ML infrastructure

Open source contributions

Job description

ByteDance seeks a seasoned ML infrastructure engineer to advance a global-scale machine learning stack for feeds, ads and search ranking. You will design, implement and scale core ML services powering a multi-tenant platform.

We expect strong programming skills (C/C++/CUDA/Python), hands-on experience with TensorFlow or PyTorch, and a proven track record deploying large-scale ML systems. Join a team that values innovation, collaboration, and impact.