ML Engineer - E‑commerce Recommendations & Personalization

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Paid time off

Job summary

TikTok Inc. in Seattle is seeking a seasoned ML Engineer to build and optimize large-scale algorithms that model real-time creator interests to boost conversion.

You will help optimize product recommendation ranking and recall for creators’ items, aiming to lift the platform’s GMV and provide a personalized shopping experience. This role involves deep data analysis of creator and merchant behavior, developing targeted algorithm strategies, and supporting rapid growth of TikTok's e-commerce

Qualifications

• 3+ years of industry experience with solid theoretical foundation of machine learning.
• Familiar with common algorithms such as matrix factorization, GBDT, LTR, Word2vec, DIN, Deep&Wide.
• Proficient in Python and C++ languages.
• Preferred: XGBoost, TensorFlow, Caffe.

Responsibilities

• Build and design large-scale machine learning algorithms to model real-time creator interests to improve conversion efficiency.
• Optimize TikTok's commodity relationship mining, ranking and recall of creators' product recommendations to improve GMV.
• Deeply analyze creator and merchant behavior to build targeted algorithm strategies to empower creators and merchants and boost monetization efficiency.
• Support rapid development of TikTok's e-commerce business, serve millions of merchants, and promote healthy ecological development.

Skills

ML theory

Algorithms

Python/C++

Tools

XGBoost

TensorFlow

Caffe

Job description

TikTok Inc. in Seattle is seeking a seasoned ML Engineer to build and optimize large-scale algorithms that model real-time creator interests to boost conversion.

You will help optimize product recommendation ranking and recall for creators’ items, aiming to lift the platform’s GMV and provide a personalized shopping experience. This role involves deep data analysis of creator and merchant behavior, developing targeted algorithm strategies, and supporting rapid growth of TikTok's e-commerce