AI/ML intern roles target 0–1 yrs experience
An SF‑hybrid, paid AI/ML Engineer Intern role was posted targeting candidates with 0–1 years of data science or ML experience — a hiring signal that some startups are actively building junior pipelines this spring. These early‑level postings are useful entry points for grads who can pair project proof with strong storytelling. (x.com)
Planet Labs posted an Intern, AI/ML Engineer opening that centers on geospatial analytics and computer-vision work for its imaging-satellite product teams. (job-boards.greenhouse.io) The role is framed as a 12‑week summer internship with two session windows listed: June 1–August 21 and June 22–September 11, 2026. (job-boards.greenhouse.io) Required academic backgrounds in the posting include candidates currently pursuing a BS, MS, or PhD in Computer Science, Machine Learning, Engineering, Applied Math, Physics, or related fields. (theladders.com) Responsibilities in the description call for developing machine‑learning methods to transform large‑scale imagery and sensor data and for moving prototypes toward scalable production software. (job-boards.greenhouse.io) Compensation estimates surfaced on aggregators: ZipRecruiter lists an hourly range of $35–$60, while Ladders shows an estimated annualized range of about $72,800–$124,800 for the same posting. (ziprecruiter.com) The opening was indexed across multiple job boards in late March 2026, appearing on Greenhouse, Built In San Francisco, The Muse and ZipRecruiter within the same multi‑day window. (job-boards.greenhouse.io)
