2 days ago

Machine Learning Engineer, Brand Ads

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Build and optimize brand ads delivery and inventory systems that enable guaranteed delivery products. Own end-to-end work across pacing, allocation, traffic strategy, and delivery controls—turning business goals into scalable system designs. Collaborate with Product, Strategy, Data Science, and engineering partners to drive concepts to launch, and use data and experiments to diagnose issues and iterate quickly at global scale.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and optimize the delivery stack across pacing, allocation, traffic strategy, and delivery controls.
•Drive products from concept to launch with Product, Strategy, and cross-functional partners.
•Turn business goals into scalable delivery strategies and system designs.
•Own technical design, implementation, experimentation, launch, and iteration.
•Use data and experiments to diagnose problems and drive fast iteration.

Key Requirements

•BS/MS in Computer Science (or equivalent practical experience).
•Strong coding, debugging, and system design fundamentals.
•Proficiency in Go, C/C++, Java, Python, or similar languages.
•Comfort with ambiguity and the judgment to make engineering trade-offs.
•Experience with large-scale backend, recommendation, or advertising systems.

Experience:AdvertisingRecommendation systemsBackend systems

Education:Bachelor's in Computer Science

Skills:CodingDebuggingSystem designCross-functional communicationCollaboration

Tech Stack:GoC/C++JavaPython

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

2 days ago

Machine Learning Engineer, Brand Ads

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and optimize the delivery stack across pacing, allocation, traffic strategy, and delivery controls.
•Drive products from concept to launch with Product, Strategy, and cross-functional partners.
•Turn business goals into scalable delivery strategies and system designs.
•Own technical design, implementation, experimentation, launch, and iteration.
•Use data and experiments to diagnose problems and drive fast iteration.

Key Requirements

•BS/MS in Computer Science (or equivalent practical experience).
•Strong coding, debugging, and system design fundamentals.
•Proficiency in Go, C/C++, Java, Python, or similar languages.
•Comfort with ambiguity and the judgment to make engineering trade-offs.
•Experience with large-scale backend, recommendation, or advertising systems.

Experience:AdvertisingRecommendation systemsBackend systems

Education:Bachelor's in Computer Science

Skills:CodingDebuggingSystem designCross-functional communicationCollaboration

Tech Stack:GoC/C++JavaPython

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn