Backend Engineer (Machine Learning Infrastructure), AML - 2024 Start

TikTok

Education
Benefits
Qualifications

Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company. Currently we are looking for Software Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.

We are looking for talented individuals to join us in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

  • 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 and resource management for the multi-tenancy machine learning systems.
  • Responsible for designing and developing key components of ML infrastructure and mentoring interns.
  • Research, design, and develop computer and network software or specialised utility programs.
  • Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
  • Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
  • Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

  • Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline
  • Proficient in C/C++/Python, and have solid programming skills.
  • Familiar with deep learning frameworks (TensorFlow/Pytorch).
  • Experience in developing and deploying large-scale systems.
  • Ability to work independently and complete projects from beginning to end and in a timely manner.
  • Good communication and teamwork skills to clearly communicate technical concepts with other teammates.
  • Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).

Preferred Qualifications:

  • Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).
  • Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.
  • Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems.

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.

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Confirmed 9 minutes ago. Posted 30+ days ago.

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