Machine Learning Engineer Graduate

About TikTok TikTok is the leading destination for short‑form mobile video. At TikTok, our mission is to inspire creativity and bring joy. Our 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. Job highlights Yoga and fitness Stock options Positive team atmosphere Career growth opportunity Paid leave Flat organization 100+ million users Industry experts Competitive compensation Flexible hours Responsibilities Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales. Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long‑term and sustainable growth of GMV. 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 PhD graduates in Computer Science, engineering or quantitative field. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem solving, and can see the essence of problems from complex data. Industry work experience in machine learning. Good product sense with a focus on user experience. Preferred Qualifications Self‑driven, able to deeply understand the business, adapt to rapid business changes, have good personal expression and communication skills, and be able to promote project implementation. Publication records in top journals or conferences will be a plus. Experience winning ACM‑ICPC medals will be 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