Machine Learning Engineer (Search) - E-commerce - San Jose

San Jose, California


Employer: TikTok
Industry: R&D
Salary: Competitive
Job type: Full-Time

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.

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 search. We are a group of applied machine learning engineers and data scientists that focus on E-commerce search engine. 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 about applying large scale machine learning to solve various real-world problems in E-commerce.

What You Will Do
1. 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.
2. 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
3. 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
4. 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

1. Proficient in at least one programming language: c++, python, shell, and other programming skills, with a solid programming foundation and good programming style
2. Experience in algorithm development, familiar with the application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data
3. Familiar with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet), familiar with commonly used deep learning algorithms
4. Able to solve problems independently, good sense of teamwork and communication skills;
5. Experience in search engines, recommendation systems, and computational advertising-related fields is preferred.

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.

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 reasonable accommodation, please reach out to us at dataecommerce.accommodations@tiktok.com.

Created: 2024-06-05
Reference: A162279
Country: United States
State: California
City: San Jose
ZIP: 95118


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