Machine Learning Engineer Intern (Applied Machine Learning-Algorithm) - 2025 Summer/Fall (MS)

$124,800 - $124,800/Yr

Bytedance - San Jose, CA

Full-time - Intern

San Jose, CA

Professional, Scientific, and Technical Services

About the position

Founded 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. The mission of our Applied Machine Learning (AML) team is to push next-generation machine learning algorithms and platforms 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 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. 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 22 Please state your availability clearly in your resume (Start date, End date).

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

Requirements

• Currently pursuing a MS degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline
• Proficient in C/C++/Python/Golang, and have solid programming skills (e.g. 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

Nice-to-haves

• Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch), experience on improving core machine learning infrastructure
• Experience in big data frameworks (e.g., 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
• 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
• Experience in developing and deploying large-scale systems(e.g. 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

Benefits

• Hourly rate range for this position is $60- $60
• 100% premium coverage for Full-Time intern medical insurance after 90 days from the date of hire
• Paid holidays and paid sick leave
• Mental and emotional health benefits through our Employee Assistance Program
• Reimbursements for mobile phone expenses