ML & Cloud Infrastructure Engineer Intern

About the role

The ML & Cloud Infrastructure Engineer Intern will build and operate training, data, or evaluation infrastructure used daily by the wider software team. They will work with GPU clusters, orchestration, and data pipelines at scale, instrument, monitor, and harden the pipeline they ship. They will test their work on real robots at the office and have the opportunity to publish (for PhD interns) and attend Tier-1 industry conferences.

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.

Benefits

Competitive salaries, and the opportunity to work on a mission with tremendous climate impact.

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time, On-site.

Skills

• Python
• Familiarity with cloud services (AWS/GCP)
• Containers
• CI/CD
• Kubernetes
• Ray
• Terraform
• Observability stacks
• ML experiment tooling

Benefits

Competitive salaries, opportunities to publish and attend industry conferences, and the chance to work on a mission with tremendous climate impact.