ML & Cloud Infrastructure Engineer Intern

About the role

The role involves building and operating training, data, or evaluation infrastructure used daily by the wider software team. It includes working with GPU clusters, orchestration, and data pipelines at scale. Interns will also instrument, monitor, and harden the pipeline they ship, test their work on real robots at the office, and have the opportunity to publish (for PhD interns).

Interns will attend Tier-1 industry conferences and participate in mission-critical projects with significant climate impact.

Responsibilities

• Build and operate training, data, or evaluation infrastructure used daily by the wider SW team.
• Work with GPU clusters, orchestration, and data pipelines at scale.
• Instrument, monitor, and harden the pipeline you ship.
• Test your work on real robots at the office.
• Opportunity to publish (for PhD interns).
• Attend Tier-1 industry conferences.

Requirements

• Pursuing BS/MS/PhD in CS or related field.
• Strong Python; familiarity with cloud services (AWS/GCP), containers, and CI/CD.
• Evidence of building infrastructure or data systems.
• Comfortable taking ownership of tasks with light supervision.
• Excellent problem-solving skills.

Qualifications

• Nice to have: Kubernetes, Ray, Spark, Terraform, observability stacks, or ML experiment tooling.

Skills

• Python
• Familiarity with cloud services (AWS/GCP)
• Containers
• CI/CD

Benefits

• Competitive salary
• Opportunity to work on a mission with tremendous climate impact

Pay

Competitive salary

Schedule

Full-time internship for either 3 months or 6 months