Machine Learning Engineer Graduate (Tech and Product) - 2027 Start (PhD)

TikTok USDS Joint Venture - San Jose, CA

Hiring: Machine Learning Engineer Graduate (Tech and Product) - 2027 Start (PhD) Company: TikTok USDS Joint Venture Location: San Jose, CA Job Posted Time: 2026-09-16 13:25:20 Employment Type: Internship / Hybrid Target Skills & Keywords : A/B Testing, Machine Learning, Microservices, User Experience About the job Required Skills: •The Tech and Product team of TikTok USDS is missioned to empower TikTok US users to have a great user experience with strong data security and privacy protections, focusing on compliance, reliability, business and product support, and efficiency improvement. •As part of this team, you will build and scale high-impact Machine Learning solutions—including recommendation engines, search relevance, and e-commerce systems—designed specifically to deliver personalized, high-performing experiences while ensuring world-class data governance, privacy compliance, and system security for US users. •Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. •Design, build, train, and evaluate machine learning models for recommendation systems, search ranking, query understanding, or conversion prediction. •Implement efficient pipelines for feature extraction, model training, evaluation, offline-to-online deployment, and A/B testing. •Process and analyze massive user behavior data and catalog logs using distributed systems to construct real-time and offline features. •Optimize online inference latency and system throughput for high-QPS production microservices. •Conduct continuous A/B testing, analyze online metrics, identify bottleneck areas, and iterate on models to drive business goals. Qualifications: •Individuals who are completing or have recently completed a PhD's degree in Computer Science, Engineering, Math, Statistics, or a related discipline. •Solid background in Data Structures, Algorithms, Computer Systems, and Software Design. •Strong theoretical understanding and practical knowledge of machine learning concepts. •Prior internship or project experience in Recommendation Systems, Search Engine, Computational Advertising, or E-Commerce AI •The base salary range for this position in the selected city is $136800 - $259200 annually. •The Company reserves the right to modify or change these benefits programs at any time, with or without notice. •For Los Angeles County (unincorporated) Candidates •Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!