ML Research Engineer Intern – Dynamo Guard /… at Dynamo AI · San…

Summary: Dynamo AI is seeking an ML Research Engineer Intern to work at the intersection of machine learning research and production systems. The intern will design, prototype, and deploy advanced evaluation, guardrailing, and agent security mechanisms across various platforms, blending hands-on engineering with applied ML experimentation. 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 - Translate research prototypes into production-grade systems with strong performance and observability - 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 Required 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 - Strong problem-solving mindset and eagerness to build production-quality ML systems Preferred Qualifications: - Experience with cloud environments, APIs, or containerized systems (Docker/Kubernetes) is a plus Required Skills: Python, Machine Learning, Kubernetes Important Skills: PyTorch, TensorFlow, LLMs, Cloud environments Nice-to-Have Skills: Problem-solving