Software Engineer Intern, Infrastructure

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Software Engineer Intern, Infrastructure in USA new

DatologyAI
Full time
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USA
09/20/2026
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San Mateo, CA

Responsibilities

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

Requirements

Pursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field.
Strong programming skills in Python, Go, or C++.
Familiarity with Linux systems, Docker, Kubernetes, or similar technologies.
Curiosity about cloud computing, including AWS, Azure, or GCP, and large-scale distributed systems.
Interest in infrastructure supporting machine learning research and model deployment at scale.
Collaborative, detail-oriented, and eager to take on complex technical problems.

Benefits

Paid internship lasting three months sometime between May and August 2027.
Based in San Mateo, California, with four days per week in the office.
Relocation stipend and assistance for interns moving to the Bay Area.
100% covered medical, vision, and dental benefits.
401(k) plan with a 4% company match.
Unlimited PTO.
12 weeks of paid parental leave plus six months of work-from-home flexibility.
Annual $2,000 wellness stipend.
Annual $1,000 learning and development stipend.
Daily lunches and snacks provided in the office.

DatologyAI

DatologyAI builds tools to automatically select the best data on which to train deep learning models. Our tools leverage cutting-edge research—much of which we perform ourselves—to identify redundant, noisy, or otherwise harmful data points. The algorithms that power our tools are modality-agnost...

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