12 hours ago

Machine Learning Engineering Manager - Global E-commerce (SEA)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Lead a team building data analytics and data-empowered platform capabilities for global e-commerce. Drive merchant and business growth by customizing algorithm strategies tied to GMV, partnering with product and business teams on merchant/platform models, and continuously optimizing data products. Design and develop machine learning techniques for data assets to improve business metrics, including data diagnostics, attribution, and scenario-specific strategy tools.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Customize algorithm strategies to support B-side (merchant-side) operations and drive continuous growth in merchants' GMV through merchant operations, product growth, and major promotions.
•Collaborate with product operations and business teams to define merchant-and-platform business models for scenarios like live streaming, major promotions, and merchant growth, implementing them technically.
•Optimize data products using data-driven insights by coordinating with upstream and downstream teams and developing data strategy products such as data diagnostics and attribution.
•Design and develop strategies, algorithms, and machine learning techniques to increase the impact of data assets on business metrics.

Key Requirements

•Bachelor's or higher degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or a related discipline.
•2+ years managing or leading a software engineering team.
•5+ years of machine learning experience.
•Familiarity with data mining techniques and ML algorithms such as GBDT, XGBoost, FM, and DFM, including principles and application scenarios.
•Proficiency with ML/data mining tools and common frameworks (e.g., TensorFlow, PyTorch) and staying up to date with research.

Education:Bachelor's

Skills:Continuous learning

Tech Stack:TensorFlowPyTorchGBDTXGBoostFMDFM

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

12 hours ago

Machine Learning Engineering Manager - Global E-commerce (SEA)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Customize algorithm strategies to support B-side (merchant-side) operations and drive continuous growth in merchants' GMV through merchant operations, product growth, and major promotions.
•Collaborate with product operations and business teams to define merchant-and-platform business models for scenarios like live streaming, major promotions, and merchant growth, implementing them technically.
•Optimize data products using data-driven insights by coordinating with upstream and downstream teams and developing data strategy products such as data diagnostics and attribution.
•Design and develop strategies, algorithms, and machine learning techniques to increase the impact of data assets on business metrics.

Key Requirements

•Bachelor's or higher degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or a related discipline.
•2+ years managing or leading a software engineering team.
•5+ years of machine learning experience.
•Familiarity with data mining techniques and ML algorithms such as GBDT, XGBoost, FM, and DFM, including principles and application scenarios.
•Proficiency with ML/data mining tools and common frameworks (e.g., TensorFlow, PyTorch) and staying up to date with research.

Education:Bachelor's

Skills:Continuous learning

Tech Stack:TensorFlowPyTorchGBDTXGBoostFMDFM

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn