Software Engineer Intern (Applied Machine Learning-Engine) - 2025 Summer/Fall (PhD)

ResponsibilitiesFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, 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 UsCreation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity;

to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together.

That's how we drive impact - for ourselves, our company, and the users we serve. Join us. 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 on core businesses of the company. We are looking for talented individuals to join us for an internship in 2025.

Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance.

Applications will be reviewed on a rolling basis. We encourage you to apply early. 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 ByteDance (select one) and its affiliates' jobs globally. Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths.

A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.

It runs for 12-24 weeks and begins in May / June 2025 or August / September 2025. Successful candidates must be able to commit to one of the following start dates below : (Select below options for Summer)- Monday, May 12- Monday, May 19- Tuesday May 27 (Memorial Day May 27)- Monday, June 9- Monday, June 23 (Select below options for Fall)- Monday, August 11- Monday, August 25- Monday, September 8- Monday, September 22Please state your availability clearly in your resume (Start date, End date).

Candidates who pass resume evaluation will be invited to participate in ByteDance's technical online assessment through HackerRank.

• 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 multi-tenancy machine learning systems;
• Responsible for designing and developing components of ML infrastructure.QualificationsMinimum Qualifications : - Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline;
• Proficient in C / C++ / Python / Golang, and have solid programming skills( algorithms and data structures);- Familiar with deep learning frameworks (TensorFlow / Pytorch);
• 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 on improving core machine learning infrastructure.

Experience in big data frameworks (, K8s / Spark / Hadoop / Flink), experience in resource management and task scheduling for large scale distributed systems, experience in building solutions with AWS, GCP, Azures, OCI, AliCloud or other cloud services.

Scheduling - Strong background in one of the following fields : Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (, GPU / TPU / RDMA) or ML for Systems.

Experience in developing and deploying large-scale systems( Monitoring, Analyzing, Troubleshooting, and Notification systems), strong understanding of code optimizing, routine task automation and failure self-healing, familiar with IaC technologies like Terraform / Ansible.

EffeciencyTool 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 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. ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.

If you need assistance or a reasonable accommodation,