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广告数据应用软件工程师

雇主

TikTok

地点

California · San Jose · 美国

待遇

$面议

工作模式

线下

截止日期

1月8日

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岗位摘要

Backend Engineer role building and optimizing large-scale data systems for ads data applications, fo

岗位职责

Our ads data team work closely with our product managers and data analysts by building state of the art streaming and batch data processing solution.
The entire data pipeline is supporting both the Tiktok ads platform and our internal business intelligence platform.
In this role, you will see a direct link between your work, and the company's business success.
You will have opportunities to deal with Petabyte-level data warehouse.
Some of the world's most challenging technical and business problems are waiting for you to solve.
We are looking for a passionate Backend Engineer to join our Ads Data team.
In this role, you will build and optimize large-scale data systems that empower our global monetization business.
You will have the opportunity to design robust and scalable architectures, drive AI applications in real-world scenarios, and directly influence how millions of users and businesses connect.
Responsibilities:
1. Lead the server-side development of data products, delivering new features and optimizing existing functionalities to support business needs.
2. Build the core data service capabilities of the commercialization platform by designing flexible, robust, and scalable architectures.
3. Develop backend solutions for AI-driven data processing and intelligent applications, bringing advanced AI capabilities into commercialization use cases.

申请条件

Passionate Backend Engineer.
Experience building and optimizing large-scale data systems.
Ability to design robust and scalable architectures.
Experience with AI applications in real-world scenarios.
Experience with streaming and batch data processing.
Experience with large-scale data warehouses.

雇主简介

TikTok is a leading short-form video platform that develops core training and serving infrastructure for large-scale recommendation systems and AI infrastructure for foundation models and LLMs.

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数据来源:TikTok

岗位信息来源于公开渠道,版权归原作者所有