← 返回岗位列表美国IT/互联网fulltime

广告衡量信号与隐私基础设施 - 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

🤖 AI 简历匹配评估

检测你的简历与该岗位的匹配度,免费

免费评估

岗位摘要

Build graph-based system architecture and Serverless infrastructure for advertising, optimizing thro

岗位职责

Our Ads Measurement Signal and Privacy team (MSP) is missioned to build our security and governance infrastructure and process for the ads system end-to-end while making sure our platform with large volume of various signals and data are constantly compliant with regional regulations across the world.
The team will be responsible for exploring and implementing cutting-edge privacy-enhancing technologies to protect our users while keeping TikTok a free and creative community.
You will be a key player in data privacy, protection, security and managing cross-functional programs to continuously improve the process.
Responsibility
1. Responsible for building a graph-based system architecture in advertising business scenarios, establishing innovative R&D, delivery, and O&M models to achieve intelligent resource orchestration.
2. Participate in developing new capabilities such as graph execution engines, hot updates for operators, and graph-based delivery systems, while driving business abstraction and refactoring of critical modules in advertising systems.
3. Break down long-term goals into actionable implementation paths, organize and lead project teams to build a graph-based Serverless infrastructure foundation.
4. Implement operator-driven computational orchestration for advertising systems using engineering models, continuously optimize system throughput and latency to deliver tangible business benefits.

申请条件

Minimum Qualifications:
• BS/MS Degree in Computer Science, Computer Engineering or relevant technical field, with related working experience.
• Experienced in building backend services for large-scale consumer-facing applications.
• Proficiency in at least one of the following languages: Go, C++, Java, Go, Python.
• Good communication and teamwork skills.
Preferred Qualifications:
• Experience collaborating with compliance and policy teams, government entities, external privacy-focused community members and members of the press.
• Experience with cutting-edge data privacy security technologies, such as differential privacy, homomorphic encryption, federated learning etc. Specific production practices are preferred.
• Experience in Ads domain.

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.

对这个岗位感兴趣?

上传简历,AI 免费评估匹配度,一键发送至雇主

无需注册,上传简历即可投递

申请海外岗位,英文简历符合当地格式规范吗?

AI 自动评估你与该岗位的匹配度,3 分钟出结果

免费评估简历匹配度

数据来源:TikTok

岗位信息来源于公开渠道,版权归原作者所有