Jobs / United States / Scale AI INC
Software Engineering Intern (Summer 2027)
Scale AI INC · 🇺🇸 San Francisco, CA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 74 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Scale AI INC paid sponsored hires in similar roles29 certified filings for “Software Engineer” (Software Developers) in CA: $210k–$235k, median $216k. Most were filed at wage level II (34%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Scale AI INC
The US Department of Labor certified 74 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Scale AI INC →
About the role
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Scale's internship is not a side project. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking. Many of our interns return as full-time Scaliens. Example Projects • Build reinforcement learning and post-training data pipelines that power frontier model development • Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers • Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy • Ship tools that accelerate the growth of new qualified contributors on Scale's platform • Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted • Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale • Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy • Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks • Develop new AI infrastructure products to visualize, query, and explore Scale data Requirements • A graduation date in Fall 2027 or Spring 2028 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) • Available for a Summer 2027 internship (May/June start dates) in San Francisco • Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating • Previous Computer Science/Software Engineering internship experience • Track record of shipping high-quality products and features • Experience building systems that process large volumes of data • Experience with Python, Typescript, React, and/or MongoDB Nice to Have • Hands-on experience with LLMs, evaluations, or agentic systems — whether from coursework, research, or personal projects • Open source contributions or a portfolio of shipped side projects How We Work Our credos shape how we make decisions and work as a team: • Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve • Team Flow — ideas, energy, and support move freely across teams; optimize for the whole • Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage • Find the 20% — find the inputs that drive the outcomes and execute them completely • Write the Market — our research puts us at the frontier, and we bring our partners there first • Three Moves Ahead — consider the consequences of consequences, and plan accordingly PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and ov