Senior ML Engineer – Global E-commerce Recommendations

TikTok; Seattle (WA); On-site; USD 242,000 - 456,000; Full time

Job summary

TikTok is seeking a Senior Machine Learning Engineer for the Global E-Commerce – Recommendation team in the Seattle area with regular/full-time employment. The role focuses on building and optimizing large-scale recommendation systems powering TikTok's global shopping ecosystem.

Responsibilities include developing ML models, conducting experiments, and collaborating with cross-functional teams to align product strategy with engineering solutions. Travel up to 25% may be required.

Qualifications

• Master’s degree or foreign equivalent in a quantitative field with 2 years of related experience, OR a Bachelor’s with 5 years of post-bachelor’s experience.
• 2 years in Python or C++, ML model training/deployment, Linux development, data-driven prediction models, and Spark/Hadoop/Flink usage.

Responsibilities

• Design and optimize advanced recommendation systems for global e-commerce.
• Balance user experience, ecosystem health, and business goals via algorithmic solutions.
• Formulate and test real-world data models and run significance analyses.
• Research ML models to improve systems, features, and product strategies.
• Mentor junior ML engineers and interns.

Skills

Python

C++

PyTorch

TensorFlow

Linux

Big data

Education

Master’s degree in CS/Engineering/Data Science

Bachelor’s degree with 5 years experience

Tools

Spark

Hadoop

Flink

Job description

TikTok is seeking a Senior Machine Learning Engineer for the Global E-Commerce – Recommendation team in the Seattle area with regular/full-time employment. The role focuses on building and optimizing large-scale recommendation systems powering TikTok's global shopping ecosystem.

Responsibilities include developing ML models, conducting experiments, and collaborating with cross-functional teams to align product strategy with engineering solutions. Travel up to 25% may be required.