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Software Engineer Intern, Infrastructure

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Software Engineer Intern, Infrastructure in USA

  • DatologyAI
  • Full time
  • Email
  • 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 how infrastructure enables machine learning research and model deployment at scale.
  • Collaborative, detail-oriented, and eager to take on complex technical problems.

Benefits

  • Paid three-month internship based on-site at the San Mateo office, scheduled sometime between January and April 2027.
  • Relocation stipend and assistance for interns moving to the Bay Area.
  • 100% covered medical, vision, and dental benefits.
  • 401(k) plan with a company match.
  • Unlimited PTO.
  • Paid parental leave and WFH flexibility.
  • Annual wellness and learning and development stipends.
  • Daily office lunches and snacks.

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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