Machine Learning Engineer, Search engine, E-Commerce Alliance

The Machine Learning Engineer will design, build, and optimize large-scale ML systems for TikTok's E-Commerce Alliance, focusing on search and matching to enhance ranking, query analysis, and monetization for merchants and creators.

Summary

Role involves developing and refining large-scale machine learning algorithms to enhance e-commerce search and matching on the platform, optimizing ranking signals, query interpretation, and monetization strategies for merchants and creators.

Responsibilities

• Design and deploy scalable ML algorithms to deeply optimize e-commerce search, covering ranking, query analysis, correlation calculations, and key business indicators across sorting scenarios such as relevance, click-through rate, and conversion rate.
• Develop ML solutions and strategic approaches through analysis and mining of extensive user queries to empower the merchant side and improve the platform's overall matching capability.
• Leverage large-scale data to study creator and merchant behaviors and craft targeted algorithm strategies to empower both groups, enhance monetization efficiency, and drive industry upgrading.
• Support rapid growth of TikTok's e-commerce business by serving millions of merchants, exploring efficient business models, delivering an optimal shopping experience, and promoting a healthy ecosystem.

Requirements

• Proficiency in at least one programming language (C++, Python, Shell) with solid fundamentals and clean coding practices.
• Experience in algorithm development, including application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data.
• Familiarity with at least one mainstream deep learning framework (TensorFlow, Caffe, MXNet) and knowledge of common deep learning algorithms.
• Ability to work independently while maintaining strong teamwork and communication skills.
• Experience in search engines, recommender systems, or computational advertising is preferred.

Technologies

• C++
• Python
• Shell
• Sparse LR
• DFFM
• Deep&Wide
• DSSM
• TensorFlow
• Caffe
• MXNet

Benefits

• Medical, dental, and vision insurance from day one
• 401(k) savings plan with company match
• Paid parental leave
• Short-term disability
• Long-term disability
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time, prorated at hire with tenure-based accruals

Location

Seattle, WA (onsite)

Employment Type

Regular

Job Code

O2281

Los Angeles County (Unincorporated) Candidate Disclosures

• Interacting with internal or external clients and colleagues may occur, including instances of unsupervised contact.
• Appropriate handling and management of confidential information, including proprietary and trade secret material, and access to information technology systems.
• Exercising sound judgment in relevant professional scenarios.