TikTok
Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, User Growth & Intelligent Ma[]
Job Location
Singapore, Singapore
Job Description
Join to apply for the Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, User Growth & Intelligent Marketing) - 2026 Start (BS/MS) role at TikTok 2 days ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, User Growth & Intelligent Marketing) - 2026 Start (BS/MS) role at TikTok Responsibilities Team Introduction The team is responsible for algorithm and big data work on e-commerce innovation projects. Leveraging on our products, the team helps users discover and acquire great products, enriching their lives. In this team, we not only use recommendation and search algorithms to help users find items they are interested in but also employ risk control algorithms 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. Furthermore, we develop logistics and operations research algorithms to enhance supply chain efficiency, and we apply artificial intelligence 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 end of year 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. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. 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: https://careers.tiktok.com/legal/privacy If you have any questions, please reach out to us at apac-earlycareers@tiktok.com Job Information About TikTok TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. Diversity & Inclusion TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. Seniority level Seniority level Internship Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Entertainment Providers Referrals increase your chances of interviewing at TikTok by 2x Get notified about new Machine Learning Engineer jobs in Singapore, Singapore . 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Location: Singapore, Singapore, SG
Posted Date: 8/22/2025
Location: Singapore, Singapore, SG
Posted Date: 8/22/2025
Contact Information
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