Data & ML Platform Engineering Intern (AI)

Location: Mountain View, CA; San Francisco, CA; or Pittsburgh, PA, United States. Remote work is listed, but in-person work is expected at least 3 days per week, with some roles requiring up to 5 days per week in the office.

Hourly pay: $52 for bachelor's interns and $58 for master's interns in Mountain View or San Francisco; $47 for bachelor's interns and $52 for master's interns in Pittsburgh.

Company

hirify.global develops self-driving technology for mobility and logistics, including the hirify.global Driver.

What you will do

• Build and maintain data pipelines and workflow automation that transform raw fleet and sensor data into model-ready datasets.
• Design and extend ML platform tooling, including labeling systems, data engines, and distributed compute used by autonomy teams.
• Use AWS or GCP to scale data ingestion, storage, and processing workloads.
• Partner with ML engineers to translate downstream model requirements into pipeline and platform design decisions.
• Instrument systems for observability and harden prototypes for production use.

Requirements

• Currently pursuing a bachelor's or master's degree in Computer Science, Data Engineering, or a related field.
• Strong programming skills in Python and/or Golang.
• Working knowledge of data pipeline and ETL concepts and basic distributed-systems tradeoffs, such as the CAP theorem.
• Experience with AWS or GCP.
• Applied exposure to ML, robotics, maps/geospatial systems, or a comparable domain.
• Hands-on experience building or extending a backend system or pipeline with real scale-up or scale-out requirements.

Nice to have

• Experience with parallel-execution or distributed-processing frameworks such as Spark, Ray, or Dask.
• Fluency with AI or agentic coding tooling.
• Prior internship or industry experience with production data infrastructure.

Culture & Benefits

• Work alongside experienced engineering teams on complex self-driving technology.
• In-person collaboration is expected at least 3 days per week, with some roles requiring more frequent office presence.
• Work is guided by integrity, ambitious goals, collaboration, safety, and inclusion.
• Reasonable accommodations are available for qualified applicants with disabilities and disabled veterans.