AI Infrastructure Intern — Scale ML Systems (Summer 2027)

DatologyAI; San Mateo; On-site; PHP 2,103,000 - 3,505,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Unlimited PTO

Parental Leave

Wellness stipend

Learning stipend

Lunches provided

Relocation assistance

Job summary

DatologyAI is seeking a Software Engineer Intern for Summer 2027 to join the Infrastructure team in San Mateo. You will work on large-scale data curation and model training systems, learning to design reliable, scalable AI infrastructure across multi-cloud environments.

You’ll take ownership of meaningful projects, collaborate with senior engineers, and gain hands-on experience with distributed systems, Docker/Kubernetes, and cloud platforms while contributing to production tooling and

Qualifications

• Pursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field
• Strong programming skills in Python, Go, or C++
• Familiar with Linux systems, Docker, Kubernetes, or similar technologies
• Curious about cloud computing (AWS, Azure, or GCP) and large-scale distributed systems
• Excited to learn how infrastructure enables ML research and model deployment at scale
• Collaborative, detail-oriented, and eager to take on complex technical problems

Responsibilities

• Build and improve internal tools that accelerate developer productivity and system reliability
• Design and prototype components of DatologyAI’s distributed training and data infrastructure
• Contribute to automation, deployment, and observability systems across multi-cloud and on-prem environments
• Collaborate with engineers and researchers to bring new ML infrastructure capabilities to production
• Participate in code reviews, technical discussions, and learn best practices for scalable infrastructure development

Skills

Python

Go

C++

Linux

Docker

Kubernetes

Distributed systems

Education

BS/MS/PhD in CS/EE or related field

Tools

AWS

GCP

Azure

Job description

DatologyAI is seeking a Software Engineer Intern for Summer 2027 to join the Infrastructure team in San Mateo. You will work on large-scale data curation and model training systems, learning to design reliable, scalable AI infrastructure across multi-cloud environments.

You’ll take ownership of meaningful projects, collaborate with senior engineers, and gain hands-on experience with distributed systems, Docker/Kubernetes, and cloud platforms while contributing to production tooling and