Machine Learning Engineer, Search - E-Commerce

ResponsibilitiesTikTok 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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.About the TeamsE-commerce - Recommendation and Marketing: 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 research scientists that focus on E-commerce recommendations. We are responsible for building up and scaling our recommendation system to provide the most stable and best shopping experience for our TikTok users.E-commerce - Alliance: The E-commerce Alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.E-commerce - Search: The Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, cutting-edge NLP, CV, and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience for more than 1 billion monthly active TikTok users around the world.E-commerce - Search Growth: The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry.What You Will DoDesign and build large-scale machine learning algorithms to optimize e-commerce search engines such as query analysis, retrieval, ranking, and correlation calculations, and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, creator add/post product rate, etc.Build machine learning solutions and algorithm strategies by analyzing and mining a large number of user queries to empower the merchant side and improve the overall matching ability of the platform.Analyze the behavior of creators and merchants using large data sets and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading.Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological development.Qualifications3+ years of experience with a solid foundation in data structure and algorithm design, and proficiency in one of the programming languages such as Python, Java, C++, R, etc.Experience in algorithm development, familiar with the application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data.Familiar with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet), and commonly used deep learning algorithms.Able to solve problems independently, with good teamwork and communication skills; experience in search engines, recommendation systems, and computational advertising-related fields is preferred.Preferred QualificationsExperience in recommendation systems, online advertising, ranking, search, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup, etc.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.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

this link .Job Information:For Pay TransparencyThe base salary range for this position in the selected city is $137750 - $337250 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a Health Savings Account (HSA) with a company match.Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year, as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.Mental and emotional health benefits through our EAP and Lyra, a 401K company match, gym and cellphone service reimbursements.The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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