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

Capitolis; United States; Hybrid; USD 39,060 - 55,800; Full time

Job summary

Capitolis seeks a motivated ML Research Engineer Intern to work on machine learning projects, where you will design and implement innovative features in Dynamo Guard and Dynamo Eval. Your role includes building evaluation pipelines, developing scalable solutions on Kubernetes, and translating research into production systems. Ideal candidates are pursuing a degree in Computer Science or related fields with strong Python skills and an interest in real-world ML applications. Locations include New York, San Francisco, and remote options.

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 such as PyTorch and TensorFlow.
• Understanding of LLMs, agentic systems, or model evaluation techniques.

Responsibilities

• Design and implement ML-driven features across Dynamo Guard, Dynamo Eval, and AgentWarden.
• Build and optimize evaluation pipelines for LLMs and agentic systems.
• Develop scalable components within our Kubernetes-based infrastructure for secure ML deployment.
• Translate research prototypes into production-grade systems.
• Implement automated testing, benchmarking, and monitoring workflows.
• Collaborate closely with research and product teams.
• Contribute to internal tooling for model validation and monitoring.

Skills

Python

Machine Learning frameworks (e.g., PyTorch, TensorFlow)

Problem-solving

Cloud environments

Containerized systems (Docker/Kubernetes)

Education

Currently pursuing or recently completed a degree in Computer Science, Machine Learning, AI, or related field

Job description

Dynamo AI

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

$3.5K - $5K / monthly | New York, NY, US / San Francisco, CA, US / Remote (Amsterdam, NH, NL; Amsterdam, North Holland, NL; Paris, IDF, FR; Paris, Île-de-France, FR)

Job type: Internship

Role: Engineering, Machine learning

School year: Senior and above

Visa: US citizen/visa only

About the role

At Dynamo AI, an ML Research Engineer Intern will work at the intersection of machine learning research and production systems. You will help design, prototype, and deploy advanced evaluation, guardrailing, and agent security mechanisms across Dynamo Guard, Dynamo Eval, and AgentWarden. This role blends hands‑on engineering with applied ML experimentation in real-world enterprise environments.

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.

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.

About Dynamo AI

The enterprise platform for enabling private, secure, and regulation-compliant Gen AI models.