9 hours ago

Senior Machine Learning Engineer, Search engine, E-Commerce Alliance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Build and optimize large-scale machine learning algorithms for TikTok’s e-commerce search, including ranking, query analysis, and correlation features. Develop ML solutions and strategies by mining user queries to improve merchant-side matching and empower merchants and creators. Analyze creator and merchant behavior to create targeted strategies that improve monetization efficiency and support TikTok’s e-commerce growth. Collaborate to deliver high-quality, personalized shopping experiences.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and build large-scale machine learning algorithms to optimize e-commerce search engines, including ranking, query analysis, and correlation calculation.
•Build ML solutions and algorithm strategies from analysis and mining of large volumes of user queries to improve platform matching.
•Analyze large-scale data to understand behavior of creators and merchants and develop targeted algorithm strategies.
•Develop strategies to empower creators and merchants, improve merchants' monetization efficiency, and support industry upgrading.
•Support rapid development of TikTok’s e-commerce business, serving millions of merchants and exploring efficient business models.

Key Requirements

•Proficient in at least one programming language (C++, Python, Shell) with strong programming fundamentals and style.
•Experience in algorithm development and familiarity applying/optimizing Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data.
•Familiar with at least one mainstream deep learning framework (TensorFlow/Caffe/MXNet) and common deep learning algorithms.
•Solve problems independently with good teamwork and communication skills.
•Experience in search engines, recommendation systems, and computational advertising-related fields is preferred.

Experience:Search enginesRecommendation systemsE-commerceComputational advertising

Skills:Problem-solvingTeamworkCommunication

Tech Stack:C++PythonShellSparse LRDFFMDeep&WideDSSMTensorFlowCaffeMXNet

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

9 hours ago

Senior Machine Learning Engineer, Search engine, E-Commerce Alliance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and build large-scale machine learning algorithms to optimize e-commerce search engines, including ranking, query analysis, and correlation calculation.
•Build ML solutions and algorithm strategies from analysis and mining of large volumes of user queries to improve platform matching.
•Analyze large-scale data to understand behavior of creators and merchants and develop targeted algorithm strategies.
•Develop strategies to empower creators and merchants, improve merchants' monetization efficiency, and support industry upgrading.
•Support rapid development of TikTok’s e-commerce business, serving millions of merchants and exploring efficient business models.

Key Requirements

•Proficient in at least one programming language (C++, Python, Shell) with strong programming fundamentals and style.
•Experience in algorithm development and familiarity applying/optimizing Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data.
•Familiar with at least one mainstream deep learning framework (TensorFlow/Caffe/MXNet) and common deep learning algorithms.
•Solve problems independently with good teamwork and communication skills.
•Experience in search engines, recommendation systems, and computational advertising-related fields is preferred.

Experience:Search enginesRecommendation systemsE-commerceComputational advertising

Skills:Problem-solvingTeamworkCommunication

Tech Stack:C++PythonShellSparse LRDFFMDeep&WideDSSMTensorFlowCaffeMXNet

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn