ML Engineer – E-commerce Growth & Recommendations

Bytedance; Seattle (WA); On-site; USD 154,000 - 301,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid parental leave

Disability coverage

Paid holidays

Paid sick days

Paid personal time

Job summary

ByteDance's TikTok E-commerce Recommendation and Marketing Algorithm team builds algorithms and big data systems to power shopping experiences, enabling discovery, personalized messaging, and secure platform governance.

The team focuses on recall/sorting, user growth, and marketing optimization to drive engagement and GMV, with a strong emphasis on collaboration and rigorous coding practices.

Qualifications

• Bachelor's degree or higher in Computer Science, Computer Engineering, Mathematics or related technical discipline.
• Experience in C++ and Python; at least one of the Big Data tools (Hive/Spark/MapReduce) and at least one Deep Learning tool (TensorFlow/PyTorch).
• Strong foundation in algorithms and data structures with excellent coding skills.
• Strong learning ability, curiosity, and good communication and teamwork skills.
• At least 3 years of relevant experience in user growth or intelligent marketing.

Responsibilities

• Participate in optimizing TikTok e-commerce growth and marketing algorithms, including core capabilities such as user value modelling, personalized messaging, recommendations, and intelligent marketing.
• Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth.
• Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase e-commerce DAU and penetration rates.
• Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.
• Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-commerce GMV growth.

Skills

C++

Python

Algorithms

Teamwork

Communication

Education

Bachelor's degree in CS/Math/EE

Tools

Hive

Spark

MapReduce

TensorFlow

PyTorch

Job description

ByteDance's TikTok E-commerce Recommendation and Marketing Algorithm team builds algorithms and big data systems to power shopping experiences, enabling discovery, personalized messaging, and secure platform governance.

The team focuses on recall/sorting, user growth, and marketing optimization to drive engagement and GMV, with a strong emphasis on collaboration and rigorous coding practices.