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安全软件工程师项目实习生 - 2026年入职

雇主

TikTok

地点

California · San Jose · 美国

待遇

$面议

时长

3 months

工作模式

线下

截止日期

1月8日

福利
benefit LLM integration

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岗位摘要

Security Software Engineer Project Intern to participate in security assessments, tooling developmen

岗位职责

About the Team The team is missioned to build infrastructures, platforms and technologies, as well as to support cross-functional teams to protect our users, products and infrastructures.
In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and secure-by-design systems and solutions.
Our challenges are not your regular day-to-day technical problems;
you'll be part of a team that's developing new solutions to new challenges of a kind not previously addressed by big tech.
It's working fast, at scale, and we're making a difference.
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience.
You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period.
Responsibilities:
- Participate in security assessments such as pentests on Web or mobile applications.
- Take part in tooling development projects with a security focus, such as code review and API testing.
Tools developed will benefit LLM integration.
- Assist in building Evals, harnesses and optimisations on existing AI tooling & systems for Security Review.
- Improve the usage of LLM in the SDLC process and enhance the infrastructure security.

申请条件

Successful candidates must be able to commit to at least 3 months long internship period.

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