Product Security Applied AI Intern, Summer 2026

Crusoe•San Francisco, CA

1d•Onsite

About The Position

We are seeking a motivated Summer Intern to help build and experiment with custom agents, large language models, and next-generation cloud technologies. This is a learning-first role—you’ll gain hands-on experience in AI development, cloud workflows, and security tradecraft while contributing to meaningful projects. This is a 12-week in-person program based in our Bay Area offices. While we have two locations- Sunnyvale and San Francisco, most events and programming will take place in San Francisco. You must be available to work during one of the following date ranges: May 18, 2026 - August 7, 2026 June 1, 2026-August 21, 2026 June 15, 2026- September 4, 2026

Requirements

Educational Background: Currently pursuing a Bachelor’s or Master’s Degree in Computer Science, Machine Learning or Related Field graduating by Fall 2026 or Spring 2027.
Programming: You are familiar with coding in a language such as Python, Rust, Go, etc., experience with PyTorch and TensorFlow is a plus
Foundational Knowledge: You're familiar with computer science fundamentals, including data structures and algorithm design as well as familiarity with the AI/ML stack.
Collaborative Mindset: You are a proactive communicator who enjoys working closely with a team to solve challenging problems.
Problem-Solving Skills: You have a curious and analytical mindset with a talent for troubleshooting and optimizing complex systems.
Familiarity with NLP data processing, transformer architectures, and fine-tuning
Curiosity about security, privacy, and threat modeling, building systems, experimenting, and safely “breaking” things to understand and secure them

Nice To Haves

Experience with virtualization (VMs), containerization (Docker), and cloud platforms (AWS, GCP, Azure) is a plus!
Understanding of modular and workflow design; OOP and algorithms are a plus!
Knowledge of state and memory management for agents
Experience with LLM APIs (OpenAI, Hugging Face, etc.)
Basic familiarity with concurrency / async programming and data structures

Responsibilities

Assist in designing and implementing custom LLMs and fine-tuning models for specific tasks.
Build and experiment with agent libraries and workflow orchestration frameworks.
Explore neo-cloud technologies, containerized environments, and virtualized infrastructure.
Learn and apply security and privacy best practices in AI pipelines and deployments.
Collaborate with the team to document, test, and optimize agent behaviors and models.
Participate in knowledge sharing and mentorship sessions, gaining exposure to AI, cloud, and security tradecraft.