ML Research Scientist Intern – Dynamo Guard / Dynamo Eval / AgentWarden
San Francisco, CA, New York, NY, London, UK, Hybrid (Remote (EU))InternPosted 8mo ago
About the role
Internship role focused on advancing AI evaluation, adversarial robustness, and agent security across DynamoGuard, DynamoEval, and AgentWarden. Conduct research on LLM evaluation, hallucination detection, red-teaming, and runtime guardrails to enable secure, production-grade enterprise Gen AI models.
Responsibilities
- Conduct research on LLM evaluation methodologies, adversarial attack generation, and model robustness.
- Develop novel techniques for detecting hallucinations, policy violations, prompt injection, and agent misalignment.
- Design experiments to evaluate AI systems under real-world enterprise constraints.
- Contribute to research artifacts, including internal technical reports, benchmarking frameworks, and potentially publications.
- Collaborate with engineering teams to transition research innovations into deployable guardrails and runtime protections.
- Analyze large-scale model behavior data to uncover systematic vulnerabilities and improvement opportunities.
Qualifications
- Currently pursuing a Master’s or PhD in Machine Learning, Artificial Intelligence, Computer Science, or related field.
- Strong theoretical foundation in ML, NLP, or deep learning.
- Experience working with large language models or generative AI systems.
- Familiarity with adversarial ML, AI safety, or model evaluation frameworks is a strong plus.
- Demonstrated ability to design rigorous experiments and analyze results critically.
- Passion for advancing secure and production-grade AI systems.
Skills
Required:Machine LearningLarge Language Models / Generative AI
Last updated Oct 7, 2026. Interested? Apply on the company site.
About Dynamo AI
Compliant-Ready AI for the Enterprise
End-to-end privacy, security, and compliance solutions to prepare your organization for emerging AI regulations.
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