Machine Learning Engineers

Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination 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. Join us.

What You Will Do

• Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as ranking, query analysis, and correlation calculation and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, etc.

• Build machine learning solutions and algorithm strategies by the analysis and mining of a large number of user queries to empower the merchant side and improve the overall matching ability of the platform

• Use the large scale of data to deeply analyze the behavior of creators and merchants 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 great ecological development

Qualifications

• Proficient in at least one programming language: c++, python, shell, and other programming skills, with a solid programming foundation and good programming style

• 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), familiar with commonly used deep learning algorithms

• Able to solve problems independently, good sense of teamwork and communication skills

• Experience in search engines, recommendation systems, and computational advertising-related fields is preferred

Job Information

【For Pay Transparency】Compensation Description (annually) The base salary range for this position in the selected city is $136,800 - $280,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and 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.