9 hours ago

Machine Learning Engineer - Search Ads

✓ 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 TikTok’s Search Ads monetization system across large-scale distributed infrastructure. You’ll develop relevance models and ranking strategies, improve NLP and query understanding (classification, seq2seq, NER, knowledge graphs), and work on CTR/CVR modeling and feature engineering. Collaborate with product and strategy teams to iterate ad algorithms and research pacing and traffic-control systems.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Participate in the development of a large-scale Ads system.
•Own relevance model and strategy optimization, including semantic matching, active learning, multi-modal modeling, and ranking strategy.
•Develop and iterate Ads algorithms using machine learning.
•Improve NLP capabilities and query understanding, including query classification, seq2seq, NER, knowledge graph, and bidword optimization.
•Research Ads pacing and traffic-control algorithms and support CTR/CVR model estimation through data analysis and feature engineering.

Key Requirements

•BS degree in Computer Science, Computer Engineering, or related majors.
•Excellent programming, debugging, and optimization skills in general-purpose programming languages.
•Ability to think critically and formulate clear, concise solutions to problems.
•Experience with one or more general-purpose languages such as Go, C/C++, or Python.
•Knowledge of areas such as machine learning, deep learning, backend, large-scale systems, data science, or full-stack.

Experience:Online advertising systems

Education:Bachelor's in Computer Science, Computer Engineering or other relevant majors

Skills:Critical thinkingProblem-solving

Tech Stack:GoC/C++PythonNatural Language Processing (NLP)Seq2seqNamed Entity Recognition (NER)Knowledge graphActive learningRanking strategyCTR/CVR modelingFeature engineering

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

Machine Learning Engineer - Search Ads

✓ 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: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Participate in the development of a large-scale Ads system.
•Own relevance model and strategy optimization, including semantic matching, active learning, multi-modal modeling, and ranking strategy.
•Develop and iterate Ads algorithms using machine learning.
•Improve NLP capabilities and query understanding, including query classification, seq2seq, NER, knowledge graph, and bidword optimization.
•Research Ads pacing and traffic-control algorithms and support CTR/CVR model estimation through data analysis and feature engineering.

Key Requirements

•BS degree in Computer Science, Computer Engineering, or related majors.
•Excellent programming, debugging, and optimization skills in general-purpose programming languages.
•Ability to think critically and formulate clear, concise solutions to problems.
•Experience with one or more general-purpose languages such as Go, C/C++, or Python.
•Knowledge of areas such as machine learning, deep learning, backend, large-scale systems, data science, or full-stack.

Experience:Online advertising systems

Education:Bachelor's in Computer Science, Computer Engineering or other relevant majors

Skills:Critical thinkingProblem-solving

Tech Stack:GoC/C++PythonNatural Language Processing (NLP)Seq2seqNamed Entity Recognition (NER)Knowledge graphActive learningRanking strategyCTR/CVR modelingFeature engineering

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn