Intern: AI Red Teaming (Fall 2026)

Realm Labs
  • Sunnyvale, California
    30+ days ago

    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.

    Numbers & Facts

    LocationSunnyvale, California

    Skills

    • Amazon Web Services (AWS)unmatched
    • Artificial Intelligence (AI)unmatched
    • Cloud Computingunmatched
    • Data Modelingunmatched
    • Functional Programming Languagesunmatched
    • GCP (Good Clinical Practices)unmatched
    • Gitunmatched
    • Injectionsunmatched
    • Machine Learningunmatched
    • Machine Toolunmatched
    • Memory Hardwareunmatched
    • Natural Language Processing (NLP)unmatched
    • Programming Languagesunmatched
    • Python Programming/Scripting Languageunmatched
    • Safety Systemsunmatched
    • Stress Modelingunmatched
    • Stress Testingunmatched
    • Testingunmatched
    • Training Data Setsunmatched
    • Unix Operating Systemsunmatched

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