机器学习工程师毕业生 - 2027年入职
internship
美国 · California · San Jose
面议
Industry
Algorithm
Description
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.
Requirements
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.
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Office Hours: Mon-Fri 9:00-18:00
Position Info
- Category
- internship
- Region
- North America
- Location
- 美国 · California · San Jose
- Salary
- 面议