Dynamo AI Verified
Artificial Intelligence, Defense & Space, Government Technology, Machine Learning, Computer Vision
ML Research Scientist Intern – Dynamo Guard / Dynamo Eval / AgentWarden
San Francisco, California, United StatesRemoteInternshipJunior / Entry-level$3,500–$6,500 /yrPosted 2 months agoVisa sponsorship availableHidden Gem · YC Startup
Role summary
Dynamo AI is seeking an ML Research Scientist Intern to advance AI evaluation, adversarial robustness, and agent security. The intern will research LLM evaluation, adversarial attacks, and model robustness, developing techniques for detecting issues like hallucinations and prompt injection. Responsibilities include designing experiments, analyzing model behavior data, and collaborating with engineering teams to integrate research into production guardrails. This role requires a strong theoretical foundation in ML, NLP, or deep learning, with experience in large language models or generative AI systems. Familiarity with adversarial ML, AI safety, or model evaluation frameworks is a plus.
At Dynamo AI, an ML Research Scientist Intern will focus on advancing the state of AI evaluation, adversarial robustness, and agent security. You will contribute to novel research in model safety, hallucination detection, red-teaming, runtime guardrails, and AI risk remediation across DynamoGuard, DynamoEval, and 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.
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### 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.
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