Intern: AI Red Teaming (Fall 2026)
Company: Realm Labs
Role summary
Intern: AI Red Teaming (Fall 2026) is a full-time role at Realm Labs in Sunnyvale, California, United States (on-site). Posted 2026-08-23. Experience level: 0-2. No degree required.
- Job title
- Intern: AI Red Teaming (Fall 2026)
- Company
- Realm Labs
- Location
- Sunnyvale, California, United States
- Work arrangement
- on-site
- Employment type
- full-time
- Category
- AI & Machine Learning
- Experience level
- 0-2
- Degree required
- No
- Date posted
- 2026-08-23
Realm Labs is looking for a curious mind to join their AI red teaming team, where you'll get to break models and test their safety boundaries in a hands-on environment. Since no degree is required, this is a fantastic way to break into the tech industry and gain real-world experience at the cutting edge of AI security.
Job description
Role Overview
You will try to break the systems we build and the models we protect, and turn what you find into something the team can act on: a reproducible attack, an evaluation that catches it, and a written account of why it works.
Expect some mix of: eliciting unsafe behaviour from aligned LLMs and multi-modal models; prompt injection and tool-use abuse against agentic systems; automating attack generation and evaluation rather than hand-crafting one-off prompts; and measuring whether guardrails hold under pressure. Where RealmLabs' interpretability work gives you access to a model's internals, use it.
We aim for a paper or public technical report out of every internship, plus attacks that stay in our evaluation suite after you leave.
Expected Background: Adversarial ML and Red Teaming
Hands-on experience attacking or stress-testing models, from any direction: jailbreaks, prompt injection, adversarial examples, data poisoning, model extraction, or evaluating safety and moderation systems.
Able to read a paper and implement its attack.
(nice to have) Offensive security background outside ML: CTFs, vulnerability research, penetration testing.
(nice to have) Familiarity with agentic systems and their attack surface — tool calls, retrieval, memory, multi-agent orchestration.
Expected Background: ML
Machine learning tools: pytorch, huggingface, transformers, datasets.
Applied deep learning and LLM experience. Training and evaluating deep models.
(nice to have) finetuning LLMs, multi-modal LLMs.
(nice to have) Familiarity with ML[NLP,LLM,Vision] interpretability methods, sparse autoencoders, linear probes — as a way of locating failure modes, not as an end in itself.
Expected Background: Software Engineering
Development environments and tools: unix , git , basic clouds usage on AWS and/or GCP
jupyter
Programming: python
(nice to have) “programming languages well-roundedness”
experience in statically-typed and functional languages
Compensation & Benefits
Market aligned compensation for interns in the bay area.
Requirements
Must be authorized to work in the USA or must be able to obtain CPT (Curricular Practical Training) approval from host university.