Machine Learning Engineer Graduate (E-Commerce User Growth)

Role Overview

The TikTok e-Commerce Recommendation and Marketing Algorithm team is responsible for algorithm and big data work on e-Commerce innovation projects. The team helps users discover and acquire great products, enriching their lives. We build intelligent customer service technologies and large-scale product knowledge graphs to improve the efficiency of various transaction processes.

What You Will Do

As a graduate, you will participate in optimizing TikTok e-Commerce growth and marketing algorithms, establish a user lifecycle data and value system, contribute to the implementation of product and technical solutions for user growth engines, and optimize algorithms related to recall/sorting for new user recommendations.

Why It Might Be a Fit

Successful candidates must be able to commit to an onboarding date by the end of the year. You will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Requirements

• Bachelor’s degree in Software Development, Computer Science, Computer Engineering or a related discipline
• Experience in C++ and Python
• Experience in at least one of the Big Data tools (e.g. Hive SQL/Spark/MapReduce)
• Experience in at least one of the Deep Learning tools (e.g. TensorFlow/PyTorch)
• Strong foundation in algorithms and data structures
• Excellent coding skills
• Strong learning ability
• Curiosity
• Good communication and teamwork skills