ML Engineer: Real-Time E‑Commerce Recommendations

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

Job summary

TikTok is hiring for a role focused on developing large-scale ML models to personalize creator experiences and boost e-commerce performance. You will work on real-time interest modeling, ranking, and recommendations to drive conversions and GMV. Strong Python and C++ skills are essential, with hands-on experience in popular ML tools.

The role involves collaboration across product and engineering teams to ship scalable solutions that serve millions of merchants and creators on the platform.

Qualifications

• 3+ years of industry experience with solid ML foundation.
• Familiar with matrix factorization, GBDT, LTR, Word2Vec, DIN, DeepWide.
• Proficient in Python and C++.

Responsibilities

• Build and design large-scale ML algorithms to model real-time creator interests to boost conversion.
• Optimize TikTok's commodity relationship mining, ranking and recall for creators’ product recommendations to improve GMV.
• Analyze behavior of creators and merchants to craft targeted algorithm strategies and monetization.
• Support rapid development of TikTok's e-commerce business for millions of merchants.

Skills

Matrix Factorization

GBDT

LTR

Word2Vec

DIN

DeepWide

Python

C++

Tools

XGBoost

TensorFlow

Caffe

Job description

TikTok is hiring for a role focused on developing large-scale ML models to personalize creator experiences and boost e-commerce performance. You will work on real-time interest modeling, ranking, and recommendations to drive conversions and GMV. Strong Python and C++ skills are essential, with hands-on experience in popular ML tools.

The role involves collaboration across product and engineering teams to ship scalable solutions that serve millions of merchants and creators on the platform.