Machine Learning Engineer Graduate (E-Commerce User Growth) – 2027 Start (PhD)

Role Overview

Join the TikTok e-Commerce Recommendation and Marketing Algorithm team to work on algorithm and big data work on e-Commerce innovation projects. The team helps users discover and acquire great products, enriching their lives. Responsibilities include optimizing e-Commerce growth and marketing algorithms, establishing a user lifecycle data and value system, and contributing to the implementation of product and technical solutions for user growth engines.

What You Will Do

Participate in optimizing 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, optimize algorithms related to recall/sorting for new user recommendations, and optimize intelligent marketing algorithms.

Why It Might Be a Fit

Successful candidates must be able to commit to an onboarding date by the end of the year. The team is looking for talented individuals who can pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Requirements

• PhD degree in Computer Science, Electrical Engineering or related technical fields
• experience in C++ and Python
• proficiency in at least one of the Big Data tools (e.g. Hive SQL/Spark/MapReduce) and 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, and good communication and teamwork skills

Benefits

• Opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth
• Competitive salary and benefits
• Opportunities for professional growth and development