Machine Learning Engineer Graduate

Join to apply for the Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, Recommendation) - 2026 Start (BS/MS)role at TikTok 6 days ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, Recommendation) - 2026 Start (BS/MS)role at TikTok Get AI-powered advice on this job and more exclusive features. Responsibilities Team Introduction E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce. 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 building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok. Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently. Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. Design and build supporting/debugging tools as needed. Support the production of scalable and optimised AI/machine learning (ML) models. Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models. Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process. Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm. Work with the relevant software platforms in which the models are deployed. Qualifications Minimum Qualifications Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Strong programming and problem-solving ability. Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Experience in Deep Learning Tools such as tensorflow/pytorch. Experience with at least one programming language like C++/Python or equivalent. Preferred Qualifications Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields. Publications at KDD, NeurlPS, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc. 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 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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