---
title: 'Intern: AI Red Teaming (Fall 2026) at Realm Labs'
canonical: 'https://feeny.ai/job/intern-ai-red-teaming-fall-2026-realm-labs-sunnyvale-cc16r5a6pk2v'
type: 'job'
last_seen: '2026-11-03'
---

# Intern: AI Red Teaming (Fall 2026) at Realm Labs

- **Company:** Realm Labs
- **Location:** Sunnyvale, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-23
- **Last confirmed live:** 2026-11-03
- **Apply:** https://jobs.gem.com/realm-labs/am9icG9zdDqk-lOxyC8b29uTMW5N72ri

## 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

- MUST HAVE prior red-teaming or pen-testing experience like DefCon CTFs or bugbounties. General SWE experience is not suitable for this role.
- MUST HAVE Familiarity with agentic systems and their attack surface — tool calls, retrieval, memory, multi-agent orchestration.
- 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.

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.

## About Realm Labs

## Company Overview
- **One-liner**: Realm Labs provides enterprise AI security and monitoring solutions that detect and prevent failures in LLM applications using deep neural inspection.
- **Entity Type**: Private (early stage startup)
- **Headquarters**: United States (specific city not disclosed)
- **Founded**: 2023
- **Founders**: Saurabh Shintre (CEO & Founder), Akash Mukherjee (Head of Engineering), Piotr Mardziel (Head of AI)

## Core Business
- Primary industry: AI Security / Cybersecurity
- Target customers: B2B Enterprise (companies deploying large language models in production)
- Mission: “We exist to ensure that progress doesn’t come at the cost of control, clarity, or accountability.”

## Products & Services
- **Realm Labs Platform**: AI-native SaaS/API that monitors every LLM interaction in real time. Uses patented Deep Neural Inspection (DNI) to read a model’s internal representations and catch hallucinations, prompt injections, jailbreaks, data leakage, and unsafe behavior at the source. Three modules: *Detect* (surface failures), *Respond* (block, rewrite, or route problematic outputs), *Improve* (feedback loop to correct drift and prevent repeat incidents).

## Market Standing
- **Valuation**: Not disclosed (no reported funding rounds)
- **Key Metric**: Headcount ~7 employees (as of late 2025/early 2026)
- **Notable Investors/Partners**: Not publicly listed
- **Growth Signals**: Early-stage research-driven company with a clear product and a team holding 20+ patents and 5,000+ academic citations across adversarial ML, AI safety, and system security.

## Competitive Advantages
- **Deep Neural Inspection** – only inspection point inside an LLM’s hidden representations that the model itself cannot forge, unlike surface-level output analysis.
- Founding team brings decades of combined expertise from Symantec, Splunk, Google, Apple, Snowflake, and leading universities (CMU, Stanford, USC).
- Focus on both detection and automated response creates a closed-loop security posture for enterprise AI.

## Strategic Focus
- Current priorities: Building trust and accountability in AI systems by providing guardrails, monitoring, and incident response. Growth direction: expanding from LLM security to a broader AI security platform that covers multi-modal models and agentic workflows.

## Why Work Here
- **Culture**: Small, agile, research-first environment where engineers and researchers solve hard AI safety problems.
- **Work Model**: Hybrid (remote + on-site in the US) based on Built In profile.
- **Notable Highlights**: Opportunity to work at the intersection of cutting-edge AI and security, influence product direction from day one, and collaborate with founders who are recognised experts in the field.

## Sources
1. [builtin.com](https://builtin.com/company/realm-labs) – Company overview, headcount, hybrid work, founding year
2. [realmlabs.ai/company](https://www.realmlabs.ai/company) – Founding team, mission, expertise
3. [realmlabs.ai](https://www.realmlabs.ai/) – Product details (Detect, Respond, Improve) and Deep Neural Inspection

## Other roles at Realm Labs

- [Machine Learning Research Intern (Winter/Spring 2027)](https://feeny.ai/job/machine-learning-research-intern-winter-spring-2027-realm-labs-sunnyvale-qfv0hsht8cgm) — Sunnyvale, CA
- [Marketing Lead](https://feeny.ai/job/marketing-lead-realm-labs-united-states-7kbp1qe6tzxp) — United States
- [ML Research Engineer, Trust & Safety](https://feeny.ai/job/ml-research-engineer-trust-safety-realm-labs-sunnyvale-js9kd2qfaq4s) — Sunnyvale, CA
- [Software Engineer, ML Infrastructure](https://feeny.ai/job/software-engineer-ml-infrastructure-realm-labs-sunnyvale-820mmna8cyxn) — Sunnyvale, CA