Software Engineer Intern, Infrastructure
Full-time
DatologyAI
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.
Vacancy posted 1 day ago
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