Hiring: Machine Learning Engineer Graduate (Tech and Product, USDS) - 2027 Start Company: TikTok USDS Joint Venture Location: Seattle, WA Job Posted Time: 2026-09-16 11:50:14 Employment Type: Internship Target Skills & Keywords : A/B Testing, Compliance, HBase, Machine Learning, Microservices, Plaid, TestNG, jQuery About the job Required Skills: •About the team •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. •We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. •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. •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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. •Depending on the team that you'll be considered for, you can expect to: •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: •Minimum Qualification(s): •Individuals who are completing or have recently completed a Bachelor's/ Master'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. •Preferred Qualification(s) •Prior internship or project experience in Recommendation Systems, Search Engine, Computational Advertising, or E-Commerce AI •Experience with distributed computing frameworks •Job Information •The base salary range for this position in the selected city is $100320 - $177840 annually. •Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. •Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire Compensation: •$100320 - $177840 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!