Machine Learning Engineer Graduate

Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, User Growth & Intelligent Marketing) – 2026 Start (BS/MS) at TikTok The team is responsible for algorithm and big data work on e-commerce innovation projects. Leveraging our products, the team helps users discover and acquire great products, enriching their lives. We use recommendation and search algorithms to help users find items they are interested in, and we employ risk control and intelligent platform governance algorithms to detect violations, ensuring a secure shopping experience. We build intelligent customer service technologies and large-scale product knowledge graphs to improve the efficiency of various transaction processes. Additionally, we develop logistics and operations research algorithms to enhance supply chain efficiency and apply AI to help merchants improve their operational capabilities. Our mission: To make high‑quality products easily accessible, enabling everyone to enjoy a better life. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by the end of 2026. 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. Responsibilities Participate in optimizing TikTok e‑commerce growth and marketing algorithms, including core capabilities such as user value modelling, personalized messaging, recommendations, and intelligent marketing. Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth. Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase e‑commerce DAU and penetration rates. Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations. Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e‑commerce GMV growth. Qualifications Minimum Qualifications Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Mathematics, or a related technical discipline. Strong foundation in algorithms and data structures, with excellent coding skills. Strong learning ability, curiosity, and good communication and teamwork skills. Preferred Qualifications Preference given to candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/ML competitions. Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi‑scenario modelling optimization is a plus. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: If you have any questions, please reach out to us at #J-18808-Ljbffr