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

Responsibilities

• Design and implement ML-driven features across Dynamo Guard, Dynamo Eval, and AgentWarden.
• Build and optimize evaluation pipelines for LLMs and agentic systems, including attack simulations and red-teaming frameworks.
• Develop scalable components within our Kubernetes-based infrastructure to support secure and reliable ML deployment.
• Implement automated testing, benchmarking, and monitoring workflows for model safety and robustness.
• Collaborate closely with research and product teams to iterate quickly from experimentation to deployment.
• Contribute to internal tooling for model validation, guardrail enforcement, and runtime monitoring.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Machine Learning, AI, or related field.
• Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
• Understanding of LLMs, agentic systems, or model evaluation techniques.
• Experience with cloud environments, APIs, or containerized systems (Docker/Kubernetes) is a plus.
• Strong problem-solving mindset and eagerness to build production-quality ML systems.