Machine Learning Engineer Graduate

Team Introduction :The E-Commerce Risk Control (ECRC) team's mission is : - To protect TikTok e-commerce users, including and beyond buyer, seller, creator; - To make Tiktok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform; - Through building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders. The ECRC team works to prevent and detect any risk attempts in Tiktok e-commerce platforms (. TikTok Shop) and to mitigate the negative impact on our customers and Selling Partners (Sps), covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage etc. We achieve our mission by a) developing state-of-art Machine Learning (ML) solutions to prevent customers, SPs, and Tiktok from being impacted by bad actors’ actions and practices to gain unfair business advantages; b) empowering Tiktok teams, both internal to GNE and external, to reduce risk attempts by utilizing our mechanisms. We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok Successful candidates must be able to commit to an onboarding date by end of year 2025. We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally. Online Assessment Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank. Responsibilities: - Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms. - Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams. - Collaborate with multidisciplinary teams to enhance current automation processes. - Build efficient data querying infrastructure for real-time and offline analysis. Identify opportunities to strengthen risk defense solutions. - Define risk control metrics and promote data-driven practices. Align teams and stakeholders on numeric goals for risk control. - Document technical processes and effectively communicate results through writing, visualizations, and presentations. - Master's degree in Computer Science, Engineering, Operations Research, or related fields. - Final year or recent graduate with a background in Computer Science, Computer Engineering, or a related technical discipline - Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning. - Experience with Python, SQL/Hive, and Hadoop - Strong understanding of data structures and algorithms, with excellent problem-solving ability - Detail oriented, effective time management, and strong analytical skills Preferred Qualifications: - Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications - Internship experience or research experience, especially in e-commerce, risk control domian - Curiosity towards new technologies and entrepreneurship - High levels of creativity and quick problem-solving capabilities