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

at TikTok.

About the Team
The mission of our Applied Machine learning (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 Research Interns to join our team to support and advance that mission.

We are looking for talented individuals to join us for an internship in 2024. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.

Successful candidates must be able to commit to one of the following internship cycles below: -
(Note: Please edit the time period accordingly)

1. Summer Internship - 06 May 2024 to 26 July 2024 (12 weeks)
2. Off cycle / Credit bearing - Starting 08 January 2024 or 12 August 2024

We will prioritize candidates who are able to commit in either internship period. Please state your availability clearly in your resume (Start date, End date).

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

• Build new features that touch hundreds of millions of people around the world
• Solve unique, large-scale, highly complex technical problems
• Build the next-generation monetization platform to help millions of customers grow their businesses
• Work with your mentor to deliver product features and make engineering improvements;
• Build world-class web applications that combine usability, accessibility, elegance, performance, and maintainability.

Qualifications

• Undergraduate or Postgraduate currently pursuing a Degree/Master/PhD 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.

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.
• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
• High levels of creativity and quick problem-solving capabilities

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 [email protected].