ByteDance

Applied Research Intern - AI Safety Security - Global Tech Research Program - 2027 Start (PhD)

San Jose, CA, USPosted 1 month ago

Job Description

Location

:

San Jose

Team

:

Technology

Employment Type

:

Intern

Job Code

:

A28930

Responsibilities

We are looking for talented individuals to join us for an internship in 2027. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.

PhD internships at Our Company provides students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

About the Team

Nestled Flow AI Organization, the Security AI team stands as a beacon of innovation, exploring cutting-edge technology to enhance the security of Large Language Models (LLMs) and their applications serving the company's global products. Tasked with constructing, implementing, and sustaining secure frameworks, the team pioneers a new frontier in AI Security Research, inviting talented individuals with a background in AI to join through the student researcher program. Through collaboration and unwavering commitment, this team ensures a safe and secure digital experience for users worldwide while offering a stimulating environment for LLM enthusiasts to thrive and shape the future of AI security.

Topic Content

While agent-based applications are experiencing explosive growth, they have also introduced new security challenges. The expanded attack surface covering data, decision-making, execution, and supply chains, combined with their intricate interactions and complex infr...

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