ML & Cloud Infra Engineer Intern — Build AI Pipelines at Scale

Gritt; South San Francisco (CA); On-site; USD 58,000 - 87,000; Full time

Job summary

Gritt in the SF Bay Area is seeking an ML & Cloud Infrastructure Engineer Intern to join a hands-on, mission-driven team. You will own a defined deliverable end-to-end, work with a dedicated mentor, and demo your work to the whole team.

Internships last 3 or 6 months, with competitive salaries and the opportunity to work on climate-impact projects. You’ll build and operate training, data, or evaluation infrastructure, and test on real robots at the office.

Qualifications

• 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.
• Should be comfortable taking ownership of tasks with light supervision.
• Must have excellent problem-solving skills.
• Legally authorized to do an internship in the United States for either 3 months or 6 months.

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.

Skills

Python

Cloud services (AWS/GCP)

Containers

CI/CD

Infrastructure / data systems

Ownership of tasks

Problem-solving

Legal internship in US (3/6 months)

Education

BS/MS/PhD in CS or related field

Tools

Kubernetes

Ray

Spark

Terraform

Observability stacks

ML experiment tooling

Job description

Gritt in the SF Bay Area is seeking an ML & Cloud Infrastructure Engineer Intern to join a hands-on, mission-driven team. You will own a defined deliverable end-to-end, work with a dedicated mentor, and demo your work to the whole team.

Internships last 3 or 6 months, with competitive salaries and the opportunity to work on climate-impact projects. You’ll build and operate training, data, or evaluation infrastructure, and test on real robots at the office.