← 返回岗位列表美国IT/互联网internship

机器学习工程师毕业生 - 2027年入职

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

Join the recommendation algorithm team as a Machine Learning Engineer Graduate to build industry-lea

岗位职责

Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth.
The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact.
The team is fast-pacing, collaborative and impact-driven.
We are looking for talented individuals to join our team.
As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year.
Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.
The application limit is applicable to our Company and its affiliates' jobs globally.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities - What You'II Do
- Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;
- Deliver end-to-end machine learning solution to address critical product challenges;
- Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
- Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.

申请条件

Must be able to commit to an onboarding date by the end of the year.
State availability and graduation date clearly in resume.
Maximum of two positions can be applied to, considered in order of application.
Application limit applies globally to the company and its affiliates.

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