ML Research Scientist Intern – Dynamo Guard / Dynamo Eval / AgentWarden

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.