Machine Learning Engineer Graduate (AML Algorithm) - 2025 Start (BS/MS)

$144,000 - $153,600/Yr

Bytedance - San Jose, CA

Full-time - Entry Level

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 Applied Machine Learning (AML) team at ByteDance is dedicated to pushing the boundaries of machine learning algorithms and platforms, particularly in the areas of recommendation systems, ads ranking, and search ranking. This team plays a crucial role in driving substantial impact for the core businesses of the company. We are currently seeking talented individuals to join our team in 2025, providing an unparalleled opportunity for graduates to kickstart their careers, pursue bold ideas, and explore limitless growth opportunities. Successful candidates must be able to commit to an onboarding date by the end of 2025, and we encourage applicants to clearly state their availability and graduation date in their resumes. Applications will be reviewed on a rolling basis, and candidates can apply for a maximum of two positions, with consideration given in the order of application. Candidates who pass the resume evaluation will be invited to participate in ByteDance's technical online assessment through HackerRank.

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 an Undergraduate/Graduate/Master 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, Azure, 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

• 100% premium coverage for employee medical insurance
• Approximately 75% premium coverage for dependents
• Health Savings Account (HSA) with a company match
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care
• 10 paid holidays per year
• 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure)
• 10 paid sick days per year
• 12 weeks of paid Parental leave
• 8 weeks of paid Supplemental Disability
• Mental and emotional health benefits through EAP and Lyra
• 401K company match
• Gym and cellphone service reimbursements