New Bay Area tech internships
Several fresh role postings surfaced this week: Zscaler is hiring an on‑site AI/ML intern in San Jose, Ripple listed a Software Engineer II in Data & AI in San Francisco, and a six‑month data‑intern role focused on pipelines, SQL and Python was advertised as well. ( ). Each listing highlights hands‑on data work that could feed into product or strategy roles. (x.com)
Bay Area employers posted a fresh cluster of data-heavy tech roles this week, with openings tied to artificial intelligence, machine learning and data engineering work in San Jose, San Francisco and the East Bay. (zscaler.com) Zscaler listed an artificial intelligence and machine learning intern role in San Jose, California, described as a hybrid position tied to its Zscaler Private Access team and reporting to a senior director of software development engineering. The posting says the intern would build and deploy machine learning models for segmentation and policy enforcement inside Zscaler’s zero trust security platform. (zscaler.com) Ripple posted a Software Engineer II, Data & Artificial Intelligence role in San Francisco, saying the engineer would sit inside central data engineering and handle data ingestion and transformation for analytics, machine learning and business functions. The listing says the job calls for three to six years of experience, fluency in a language such as Python or Scala, and comfort with Structured Query Language and platforms such as Databricks. (ripple.com) A separate Bay Area internship posting from Alo Yoga advertises a data engineering intern in San Ramon for a program that runs from June 8 to July 31, 2026, at 40 hours a week. The job centers on building data pipelines, cleaning data from internal and third-party sources, and supporting personalization, recommendation and loyalty analytics with Python and Structured Query Language skills. (greenhouse.io) These postings point to the same kind of work: moving raw information into usable systems. In practice, that means building pipelines — the software plumbing that collects, cleans and routes data so product teams, analysts and machine learning models can use it. (ripple.com) The roles also show how data work is spreading across different parts of the Bay Area economy. Zscaler’s opening ties machine learning to cybersecurity controls, Ripple’s role links data engineering to crypto and financial software, and Alo’s internship connects pipelines to retail, inventory and customer analytics. (zscaler.com) (ripple.com) (greenhouse.io) Zscaler said in a September 23, 2025 post about its internship program that interns “contribute from day one” and had shipped code that became part of the company’s platform. That language matches the current San Jose listing, which describes work on production security systems rather than classroom-style projects. (zscaler.com) Ripple’s San Francisco posting goes a step further by describing artificial intelligence tools for nontechnical staff. The company says the engineer would help create artificial intelligence agents and conversational tools so business users can get insights from data without needing technical skills. (ripple.com) Compensation details were not visible in Ripple’s listing, but Alo’s posting gives a California base pay range of $45 to $50 an hour for its intern role. Zscaler’s direct posting did not show pay in the search result, though a third-party repost on April 9, 2026 estimated $17.50 to $23.50 an hour for the San Jose internship. (greenhouse.io) (ziprecruiter.com) For students and early-career engineers, the common thread is not a single industry but a single skill set: Python, Structured Query Language, data pipelines and the ability to turn messy operational data into tools other teams can use. The latest Bay Area postings show employers still hiring for that work across security, finance and consumer tech. (zscaler.com) (ripple.com) (greenhouse.io)