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Realm Labs

Intern: AI Red Teaming (Fall 2026)

  • California
  • onsite
  • Intern
  • Internship

Posted

Free to apply. You’ll finish on the employer’s own site.

Skills mentioned
  • Penetration Testing
  • Machine Learning
  • PyTorch
  • Deep Learning
  • NLP
  • UNIX
+3 more
  • AWS
  • Google Cloud
  • Python

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.

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Intern: AI Red Teaming (Fall 2026)Realm Labs
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