Backend Engineer - Model Training Infra (Singapore) Technology - Backend Singapore Regular

ByteDance

Singapore

On-site

SGD 90,000 - 120,000

Full time

14 days+
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Job summary

A leading tech company in Singapore is seeking an experienced professional to join their AML team. You will design and implement global-scale machine learning systems for ads and search ranking. The ideal candidate has at least 5 years of experience in large-scale system development and is proficient in C/C++, CUDA, and Python. You will also enhance the machine learning infrastructure and mentor interns, working in a creative and inclusive environment. This role offers an exciting chance to impact core business operations.

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 like TensorFlow or PyTorch.
  • Experience in improving core machine learning infrastructure.

Responsibilities

  • Responsible for designing and implementing global-scale machine learning systems.
  • Improve usability and flexibility of machine learning infrastructure.
  • Enhance workflow of model training and data management.
  • Mentor interns and develop key components of ML infrastructure.

Skills

C/C++
Python
CUDA
Deep learning frameworks

Job description

Responsibilities

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
  • 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 in improving core machine learning infrastructure (TensorFlow, Pytorch, and Jax).
  • Preferred: Experience contributing to an open‑source 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.

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