9 hours ago

Algorithm Engineer, Global Live - Operation Intelligence - Singapore

✓ 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 deploy model-driven and data-driven solutions that improve TT Live operations, including LIVE revenue, LIVE content quality, and ongoing platform health. Apply state-of-the-art machine learning and deep learning techniques to optimize business metrics and help detect inappropriate user behavior and anomalies. Collaborate in product and business discussions, analyze user behavior patterns, and propose optimization directions. Work with large-scale data systems such as Flink, Spark, or Hive.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Build models for automated and intelligent operations to improve TT Live supply end efficiency and effectiveness.
•Discover and handle inappropriate user behavior and business anomalies to keep TT Live running steadily.
•Adopt cutting-edge machine learning models to improve LIVE revenue and LIVE content quality.
•Participate in optimization of LIVE business and improve the experience for billions of global users.
•Analyze user behavior patterns and provide optimization directions in product/business discussions.

Key Requirements

•Master’s degree or above in Computer Science, or equivalent practical experience.
•Experience with machine learning and deep learning algorithms (e.g., DNN, NLP, CV).
•Experience with at least one of Flink, Spark, or Hive, including big data parallel processing.
•Excellent problem-solving and critical thinking skills with strong math foundation (probability, statistics, numerical optimization).
•Preferred experience in large-scale recommend/advertising systems, risk control systems, or LLM.

Education:Master's in Computer Science

Skills:Problem-solvingCritical thinkingAnalytical thinking

Tech Stack:FlinkSparkHiveDNNNLPCVMachine learningDeep learningLLM

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

Algorithm Engineer, Global Live - Operation Intelligence - Singapore

✓ 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: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Build models for automated and intelligent operations to improve TT Live supply end efficiency and effectiveness.
•Discover and handle inappropriate user behavior and business anomalies to keep TT Live running steadily.
•Adopt cutting-edge machine learning models to improve LIVE revenue and LIVE content quality.
•Participate in optimization of LIVE business and improve the experience for billions of global users.
•Analyze user behavior patterns and provide optimization directions in product/business discussions.

Key Requirements

•Master’s degree or above in Computer Science, or equivalent practical experience.
•Experience with machine learning and deep learning algorithms (e.g., DNN, NLP, CV).
•Experience with at least one of Flink, Spark, or Hive, including big data parallel processing.
•Excellent problem-solving and critical thinking skills with strong math foundation (probability, statistics, numerical optimization).
•Preferred experience in large-scale recommend/advertising systems, risk control systems, or LLM.

Education:Master's in Computer Science

Skills:Problem-solvingCritical thinkingAnalytical thinking

Tech Stack:FlinkSparkHiveDNNNLPCVMachine learningDeep learningLLM

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn