Backend Engineer - Model Training Infra (Singapore)

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

Responsibilities

About The Team

The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & e-commerce ranking in our company. We also drive substantial impact on core businesses of the company.

• Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.
• Responsible for improving use-ability and flexibility of the machine learning infrastructure.
• Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems.
• Responsible for designing and developing key components of ML infrastructure and mentoring interns.

Qualifications

Minimum Qualifications

• At least 5 years of experience in developing and deploying large-scale systems.
• Proficient in C/C++/CUDA/Python, and have solid programming skills.
• Familiar with deep learning frameworks (TensorFlow/Pytorch).
• Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).

Preferred Qualifications

• Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.