← 返回岗位列表美国IT/互联网fulltime

机器学习工程师,内容理解

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

Develop large-scale Ads systems and state-of-the-art machine learning projects, owning key targeting

岗位职责

TikTok's immersive experience, global presence, and high engagement makes it the ideal destination for brands, big and small, to showcase their unique identity, connect with their consumers, and build strong lasting relationships over time.
Our Brand Ads team focuses on enabling brands to grow and succeed on TikTok by creating cutting-edge monetization products that empowers users, creators, and advertisers.
The Brand Ads Team builds technologies that unlock business growth potential.
This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals.
We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting.
We are looking for seasoned engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability.
You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment.
What You'll Do:
- Participate in the development of a large-scale Ads system.
- Responsible for the development of state-of-the-art applied machine learning projects.
- Own key targeting components or strategies in the TikTok ads monetization ecosystem.
- Work with product and business teams on product vision.

申请条件

Seasoned engineers with strong problem-solving skills and algorithm understanding.
Ability to build and manage systems with high performance, scalability, and availability.
Experience working in a high-impact and fast-paced environment.

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