ByteDance

2 days ago

Machine Learning Engineer (LLM & Personalized Search), Vertical Search

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 33 minutes agoStatus: Live

Job Summary

Build and own a personalized photo-text search experience by designing and implementing personalization algorithms and scenario-adaptable retrieval. Integrate visual, text, and user behavior data to improve information acquisition efficiency and power user-centric recommendations using large model technology. Drive iteration, effect review, and cross-team algorithm strategy, while optimizing stability, performance, and cost through monitoring and improved training/inference efficiency for the personalization link.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead the personalization direction for photo-text search and implement personalized algorithms for this vertical.
•Integrate photo-text visual, text, and user behavior data to build scenario-adaptable personalized retrieval.
•Use large model technology to enable model scaling, improve performance and generalization, and explore generative recommendation for photo-text scenarios.
•Improve photo-text information acquisition efficiency and address user interest mining through personalized linking.
•Ensure stability, optimize performance and cost by monitoring the personalization link and partnering with architecture teams to improve training and inference efficiency.

Key Requirements

•Bachelor's degree or above in a computer-related major with strong coding ability and a foundation in data structures and algorithms.
•Proficiency in programming languages such as C++ and Python, and familiarity with common data structures and algorithms.
•Strong machine learning coding ability with in-depth research experience in areas such as NLP and computer vision.
•Ability to design algorithms and analyze/solve problems, with good initiative, curiosity, communication, and collaboration skills.
•Preferred: experience building recommendation systems for advertising/search engines, including R&D or implementation related to model scaling and generative recommendation.

Experience:Recommendation systemsAdvertisingSearch enginesNLPComputer visionMultimodal

Education:Bachelor's in computer-related major

Skills:Problem-solvingInitiativeCuriosityCommunicationCollaboration

Tech Stack:C++PythonNLPComputer VisionMultimodalRecommender SystemsLarge modelGenerative recommendation

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

2 days ago

Machine Learning Engineer (LLM & Personalized Search), Vertical Search

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 33 minutes agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead the personalization direction for photo-text search and implement personalized algorithms for this vertical.
•Integrate photo-text visual, text, and user behavior data to build scenario-adaptable personalized retrieval.
•Use large model technology to enable model scaling, improve performance and generalization, and explore generative recommendation for photo-text scenarios.
•Improve photo-text information acquisition efficiency and address user interest mining through personalized linking.
•Ensure stability, optimize performance and cost by monitoring the personalization link and partnering with architecture teams to improve training and inference efficiency.

Key Requirements

•Bachelor's degree or above in a computer-related major with strong coding ability and a foundation in data structures and algorithms.
•Proficiency in programming languages such as C++ and Python, and familiarity with common data structures and algorithms.
•Strong machine learning coding ability with in-depth research experience in areas such as NLP and computer vision.
•Ability to design algorithms and analyze/solve problems, with good initiative, curiosity, communication, and collaboration skills.
•Preferred: experience building recommendation systems for advertising/search engines, including R&D or implementation related to model scaling and generative recommendation.

Experience:Recommendation systemsAdvertisingSearch enginesNLPComputer visionMultimodal

Education:Bachelor's in computer-related major

Skills:Problem-solvingInitiativeCuriosityCommunicationCollaboration

Tech Stack:C++PythonNLPComputer VisionMultimodalRecommender SystemsLarge modelGenerative recommendation

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn