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Scale AI internship · at a glance
Scale AI's Software Engineering Intern (Summer 2027) posting for San Francisco went live September 4, 2026 and was still listed on October 11, 2026. Apply early, and check the portal for every live role.
Before you applyWould your profile get you in?6 questions, under a minute. Compared with real interns who landed similar roles.Check my oddsAlso in this guide
Put real project work on your résumé, with the Wayfair AI Agent Engineering for Business Intelligence Externship or the TruBridge Healthcare Data Analytics Externship.
Explore all externships →All quick facts
| Fact | Detail |
|---|---|
| Where to apply | scale.com/careers/university or the Greenhouse portal |
| Application window (2027–28) | Open now for summer 2027: Scale AI's Software Engineering Intern (Summer 2027) posting for San Francisco went live September 4, 2026 and was still listed on October 11, 2026. No deadline is printed on the posting, and no other US intern track was listed that day. |
| Rolling? | Yes. Scale AI reviews applications as they arrive; the Summer 2026 rolling deadline was September 30 |
| Eligibility | Currently enrolled undergrad or grad in CS, EECS, or related quantitative field; the Software Engineering Intern (Summer 2027) posting for San Francisco requires a graduation date in Fall 2027 or Spring 2028; U.S. work authorization required |
| Duration | 12 weeks (May/June to August/September) |
| Compensation | $60/hr (~$10,400/month) + $7,000 housing stipend + free meals (SF office) |
| Return offers | Not publicly disclosed; NACE industry average is 62% offer rate |
| Primary location | San Francisco (HQ); also New York City (1 World Trade Center) and remote for some tracks |
| # Tracks | 6 intern tracks: SWE, ML Research, Post-training, SEAL, AI Builder, Technical Advisor |
Last updated: October 2026
Scale AI hit a $29 billion valuation after Meta's investment in June 2025, holds a $500 million Pentagon contract for military AI, and was founded by Alexandr Wang, who became the world's youngest self-made billionaire at age 25. And the company isn't slowing down: it's generating $2 billion in annual recurring revenue while powering AI systems for enterprises and US defense agencies. For the next cycle (you apply during 2026, you intern in summer 2027), the Software Engineering Intern (Summer 2027) posting for San Francisco went live on Scale AI's Greenhouse board on September 4, 2026 and was still listed on October 11, 2026, with no deadline printed. But here's the reality: Scale fills positions as applications arrive, so the earlier you submit, the better your odds.
What Is a Scale AI Internship?
A Scale AI internship is a paid, 12-week placement at the company that built the data infrastructure behind most of today's frontier AI models. You won't be doing busywork: SWE interns ship full-stack product features used by labelers and enterprise customers, ML Research interns publish papers on computer vision and NLP, and AI Builder interns design agentic workflows using LangChain and LLM APIs. The company operates from its San Francisco headquarters and a rapidly expanding New York office at 1 World Trade Center. With $2 billion in annual recurring revenue, a $500 million Pentagon contract, and customers that include Google, Microsoft, and OpenAI, Scale AI sits at the center of the AI supply chain. It's a place where you'll move fast, ship real products, and work alongside people who define how AI systems get trained and evaluated.

When Do Scale AI Internship Applications Open for 2027–2028?
Scale AI runs on a rolling calendar that rewards early movers. In the documented previous cycle, SWE Intern postings for summer 2026 appeared in fall 2025 (with early listings as soon as June/July 2025) and carried a rolling deadline of September 30. For the summer 2027 cycle, the Software Engineering Intern (Summer 2027) posting for San Francisco went live on September 4, 2026 and was still listed on October 11, 2026, with no deadline printed. The same title was also listed for London and Doha, and no other US intern track was listed that day. Interviews are expected to flow from September 2026 through February 2027, with offers rolling after that, projected from the prior cycle. The gap from application open to internship start is roughly 8 to 11 months, and the window opened on September 4, so the technical skills you bring to your application need to be on your resume when you submit.
Postings for summer 2027 were expected to appear within roughly 1 to 3 months. This was the build window: what sits on your resume when you apply determines whether rolling review reaches you at all.
This was the prep window: contributing to open-source ML projects, shipping a side project using LLM APIs or agentic frameworks, and competing in hackathons or coding competitions. Scale values a 'track record of shipping high-quality products and features.'
Applications for summer 2027 opened here: Scale AI posted the Software Engineering Intern (Summer 2027) role for San Francisco on September 4, 2026, and it was still listed on October 11, 2026 with no deadline printed. Scale reviews applications as they arrive and positions fill continuously. Apply as early as you can.
Rolling process through fall 2026 into early 2027: HackerRank OA (1-2 medium-hard coding problems, 60 min) within weeks of applying, then final interview loop (coding, system design, behavioral). Some candidates report a condensed 2-week process.
12 weeks as an intern at Scale AI (May to August 2027). Ship products, publish research, or build agentic systems depending on your track.
How to read this page: our dates come from tracking previous recruiting cycles and daily posting data. Treat them as informed estimates based on historical patterns, not confirmed dates. The company's official careers page is always the most current source. If a role is posted there, go by that, even if this page suggests the window hasn't opened yet.
Why You Must Apply the Week Applications Open
Scale AI fills on a rolling basis, and the pattern from prior cycles confirms it. The Summer 2026 SWE Intern posting stated a September 30 deadline, but applications were reviewed continuously from June/July 2025 onward. What does that mean in practice? By the time a nominal deadline arrives, the strongest candidates have already been through the pipeline and accepted offers. And Scale's 90-day cooling period adds urgency: if you're rejected, you can't reapply to the same role for three months. So submitting in week one isn't just strategic, it's your best shot at getting reviewed when the most seats are still open. For summer 2027 that week has passed: the San Francisco SWE Intern posting went live on September 4, 2026, so apply as soon as your materials are ready.
Which Scale AI Internship Programs Should You Target?
Scale AI posts 6 distinct internship tracks, spanning software engineering, machine learning research, AI safety, and part-time advisory roles. Which one you target should match the skills you can already demonstrate, because each track interviews against a different competency profile. Can you ship full-stack products? SWE. Do you have research publications? ML Research. Are you a competitive coder who wants part-time flexibility? Technical Advisor.
| Track | Focus | Duration | Key skills |
|---|---|---|---|
| Software Engineering Intern | Full-stack product engineering, UI/UX tooling, AI infrastructure | 12 weeks | Python, TypeScript, React, MongoDB, shipping products at scale |
| Machine Learning Research Intern | Computer vision (2D/3D), NLP, meta-learning, LLM evaluation | 12 weeks | Python, PyTorch, deep learning, research publications |
| Research Intern, Post-training | Scalable oversight, synthetic data, post-training methods, frontier reasoning | 12 weeks | LLMs, NLP, agents, safety and alignment research |
| SEAL Research Scientist Intern | AI safety evaluation, red teaming, dangerous capabilities assessment | 12 weeks | LLMs, evaluation science, benchmarking, PhD-level research |
| AI Builder Intern | Agentic workflows, internal tools, API automation | 12 weeks | Python, React, LLM APIs (OpenAI, Anthropic), LangChain, RAG |
| Technical Advisor Intern (GenAI) | Training models on complex reasoning, identifying failure modes | Semester (part-time) | Competitive coding, mathematics, STEM; $50/hr, remote |
See all open positions at scale.com/careers/university. Note that most tracks are based in San Francisco, the AI Builder also has NYC seats, and the Technical Advisor is fully remote within the US.
What Are the Eligibility Requirements?
Scale AI publishes specific requirements that vary by track, but common themes run across all intern postings:
• Year: currently enrolled in an undergraduate or graduate program. The Software Engineering Intern (Summer 2027) posting for San Francisco, listed on October 11, 2026, requires a graduation date in Fall 2027 or Spring 2028. No other track had a summer 2027 posting that day; for those tracks, graduating December 2027 through June 2029 remains a projection from the summer 2026 cycle's posted requirements.
• Degree: Bachelor's or Master's in Computer Science, EECS, Computer Engineering, Statistics, or a related quantitative field. ML Research and SEAL tracks prefer PhD candidates.
• Prior experience: the SWE Intern role explicitly requires prior CS/SWE internship experience and a 'track record of shipping high-quality products and features.' This isn't a first-internship role.
• Work authorization: must be authorized to work in the United States. Public-sector and Forward Deployed roles may require security clearance.
• Availability: full 12-week commitment from May/June through August/September at the assigned location. Technical Advisor is the exception: 5-20 hours/week, remote.

Can Freshmen or Sophomores Apply?
It depends on the track. The Software Engineering Intern (Summer 2027) posting for San Francisco requires previous internship experience and a graduation date in Fall 2027 or Spring 2028, which effectively excludes freshmen. But the Technical Advisor part-time role ($50/hr, fully remote) is more accessible for earlier-year students with strong competitive coding or math backgrounds. And here's something worth noting: Scale doesn't state a minimum GPA anywhere in its job descriptions. What they do emphasize is shipped products, research output, and competition results. So if you're a sophomore with a published paper or a top-100 Codeforces rating, you've got a shot at the right track.
Profile Match · Extern Data
Could You Get In at Scale AI? Compare Your Profile
Based on 403 software engineering interns who started their first software internship between 2024 and 2026 (public LinkedIn profiles, aggregated). Six questions, under a minute.
Which summer are you applying for?
Recruiting timelines differ by class year, so we compare you with the right group.
Which group is your school closest to?
Firms recruit on campus in tiers. We match you against admits from schools like yours.
Is your major computer science, software engineering, data science or electrical engineering?
Almost every software intern in our data studied one of these. Other majors get in, but the coursework has to show elsewhere.
How many internships, externships or research positions have you held so far?
Count anything with a real employer, mentor or principal investigator attached. Retail and food service do not count.
Has any of that experience been tech-related?
Software, data, IT, engineering or a research lab. Any size of company counts.
Do you have at least one project on your resume or LinkedIn?
Personal, class, hackathon or open-source projects all count.
Aggregated from public LinkedIn profiles of people who held the internship. No individual profile is shown. Read the cross-industry study of 2,500+ intern profiles.
What Skills Does Scale AI Look For, and How Do You Build Them?
Six real Scale AI internship job descriptions tell a consistent story. Python appears in all six. Machine learning and LLMs each appear in five. But the signal isn't just technical depth: Scale also looks for people who can 'move fast while maintaining quality' and show 'product instincts with customer empathy.' What does that pattern reveal? Scale hires engineers who can train a model and also ship a product that customers actually use.
What Scale AI looks for in interns
Skills across 6 Scale AI intern & analyst job descriptions · 2025–2026 cycle JDs, projecting summer 2027
Method: full-text analysis of six Scale AI intern job descriptions (SWE, ML Research, Post-training, SEAL, AI Builder, Technical Advisor) from 2025 and 2026 cycles via scale.com/careers and Greenhouse mirrors.
How Is Demand for SWE Interns Moving Right Now?
Software engineer intern postings · Sep vs Aug 2026
vs 790 in August
For Scale AI applicants: Software engineer intern hiring picked up sharply in September; apply within the first week a role posts, while the most seats are open.
Daily US job-posting counts, Sep 1–30 vs Aug 1–31, 2026. Covers under half of US postings; shows direction, not market size.
Build These Skills Before You Apply
Every top skill in the chart maps to a remote Externship where you finish a real company project.
| Skill (from real JDs) | JD evidence | Externship that builds it |
|---|---|---|
| Python + AI/Data Pipelines | SWE JD: "building systems that process large volumes of data"; AI Builder JD: "agentic workflows using LLM frameworks" | Wayfair AI Agent Engineering for Business Intelligence |
| Data Analytics + Insights | All tracks: data-driven decision-making, understanding model quality and performance metrics | TruBridge Healthcare Data Analytics |
| Product Engineering + Shipping Fast | SWE JD: "track record of shipping high-quality products and features"; AI Builder: "functional UIs using React" | Wayfair AI Agent Engineering for Business Intelligence |
How tight is the overlap? The Wayfair AI Agent Engineering deliverable involves building an actual AI-powered business intelligence tool using Python and agentic workflows, which maps directly to Scale's AI Builder JD language. And the TruBridge project develops the data analytics and stakeholder communication skills that every Scale AI track values. Both produce finished artifacts you can demo in a behavioral interview.
What Is the Scale AI Application and Interview Process Like?
Scale AI runs a multi-stage funnel that can move surprisingly fast. Some candidates report a 2-week turnaround from application to offer, while others go through the full 3-to-6-week loop:
1. Apply through scale.com/careers/university or the Greenhouse portal. Submit your resume (required), optional cover letter, LinkedIn profile, and portfolio/GitHub. Scale posts separate listings per track, so target your strongest-fit role rather than applying broadly.
2. Recruiter phone screen (~30 min) covers your background, motivation, and which team you're targeting. This is a mutual fit conversation, not a grilling session.
3. HackerRank Online Assessment (~60 min) arrives shortly after the recruiter screen. Expect 1 to 2 medium-hard coding problems: task scheduling, merge intervals, sliding window, graph algorithms, or infrastructure-specific challenges like queue throttling and log processing. Your code may be referenced later, so write it clean.
4. Final interview loop (3-4 interviews, virtual): a coding round (medium-difficulty algorithms, 60 min), a system design round (the hardest screen; build scalable data pipelines and reason about throughput under load), a behavioral round (STAR method, 'why not faster?' culture), and a hiring manager conversation. For interns, this loop may be condensed to a single behavioral round after the OA.
Important: Scale AI has a 90-day cooling period for rejected candidates. If you don't pass, you can't reapply to the same role for three months. That makes first-attempt preparation critical. And a note on warm introductions: Scale's own career guides and community data suggest that referrals from current employees significantly outperform cold applications. Network early.
What Students on Reddit Say
Three community threads show what working at Scale AI actually looks like from the inside.
Great place to break into AI from a non-AI background if you're willing to work hard. Lots of advancement opportunities but high turnover creates openings.
Still a relatively immature organization in terms of processes. Decisions made very quickly; agility is a strength but sometimes moves too fast.
Simple hiring process, wonderful manager, good program. Though there can be a lack of work at times depending on your team.
How Do You Stand Out When Rolling Review Starts This Fall?
Three moves, all executable while you put your application together. First, apply early; rolling admissions plus continuous review means timing is itself a filter, and the Software Engineering Intern (Summer 2027) posting for San Francisco went live on September 4, 2026. Bookmark the Greenhouse portal and check weekly for the other tracks, since no other US intern track was listed there on October 11, 2026. Second, build evidence in the JD's exact language: Python, shipped products, and data pipelines are the top skill clusters, and a finished project in any of them answers behavioral questions with artifacts rather than anecdotes. Third, leverage warm introductions. Scale's community data consistently shows that referrals from current employees outperform cold applications by a wide margin. Start networking with Scale engineers on LinkedIn and at AI conferences now. And don't underestimate the system design round: it's reportedly the hardest screen, so practice building reliable data pipelines at massive scale rather than memorizing textbook patterns.

What Other Companies Should You Consider?
Scale AI competes in the frontier AI infrastructure tier. If you're targeting AI/ML internships at companies building the tools and infrastructure that power modern AI, these are the closest comparisons in compensation, culture, and technical depth.
- OpenAIdirect competitor in AI safety and frontier research; similar $60-67/hr payGuide →
- Palantirgovernment AI contracts and data infrastructure; similar defense focusGuide →
- NvidiaGPU hardware powering Scale's infrastructure; strong ML intern programGuide →
- AnthropicAI safety research lab; Claude model development, similar alignment focusGuide →
- Databricksdata and AI platform; strong data engineering intern pipelineGuide →
Our tech internships summer 2027 guide maps the full landscape of AI, SWE, and ML internship timelines in one place.

FAQ
Can I still apply for a summer 2026 scale ai internship?
That cycle is over. Summer 2026 roles opened in mid-2025 with a rolling September 30 deadline, and the summer 2026 internship has finished. Your real target is summer 2027: Scale AI posted its Software Engineering Intern (Summer 2027) role for San Francisco on September 4, 2026, and it was still listed on October 11, 2026 with no deadline printed, so apply as soon as your resume shows shipped projects.
Does Scale AI sponsor visas for interns?
Scale AI requires U.S. work authorization for most roles. The Technical Advisor track specifies 'fully remote within the U.S.' and public-sector roles may require security clearance. Scale doesn't explicitly confirm visa sponsorship for interns, so check directly with their recruiting team if you need sponsorship.
What programming languages should I know for Scale AI?
Python is essential across all six tracks. TypeScript and React matter for SWE and AI Builder roles. For ML Research, you'll need PyTorch and deep learning frameworks. And for AI Builder specifically, familiarity with LLM APIs from OpenAI and Anthropic plus agentic frameworks like LangChain is increasingly expected.
What is the Scale AI intern interview like?
Typically: a recruiter screen, a HackerRank OA with 1-2 medium-hard coding problems in 60 minutes, then a final loop covering coding, system design, and behavioral questions. The system design round is reportedly the hardest, focusing on data pipelines and throughput at scale. Some intern candidates report a condensed 2-week process.
Does Scale AI offer housing for interns?
Yes. SWE interns receive a $7,000 housing stipend for the San Francisco location, confirmed across 2023-2025 cohorts. Free lunch and dinner at the SF office are also provided. That's on top of the $60/hr base pay, making total compensation very competitive with other top-tier AI companies.
Can freshmen or sophomores apply to Scale AI internships?
The Software Engineering Intern (Summer 2027) posting for San Francisco requires previous internship experience and a graduation date in Fall 2027 or Spring 2028, so it's not designed for freshmen. But the Technical Advisor part-time role pays $50/hr, is fully remote, and targets students with strong competitive coding or math Olympiad backgrounds regardless of year.
What is Scale AI's intern pay compared to other AI companies?
Scale AI pays $60/hr ($10,400/month) for SWE interns in SF, plus a $7,000 housing stipend. For comparison: OpenAI pays $60-67/hr, Anthropic roughly $60/hr, and Google/Meta around $55-60/hr for similar roles. The AI Builder Intern range is $74,400-$111,600 annualized, putting it at the top of the market.
Is Scale AI still hiring interns after the 2025 layoffs?
Yes. Despite cutting 14% of staff in July 2025, Scale AI continued posting intern roles through 2026 across SWE, ML Research, and AI Builder tracks. The company stated it plans 'significant investments and hiring across enterprise and government AI businesses.' But you should monitor for changes given the ongoing restructuring.
The window is rolling and positions fill as applications arrive. The San Francisco SWE Intern posting for summer 2027 was listed on October 11, 2026, so build proof alongside your application: a remote Externship turns 'interested in AI' into a finished project that a rolling application can point at.
About the Author
Bifei Wang has spent 17 years focused on human flow and the growth of young professionals, spanning international education, career training and coaching, and recruitment process outsourcing. Over 7 years at Extern, he has had one-on-one sessions with thousands of students exploring careers in consulting, finance, tech, marketing, and data, giving him a firsthand view of how the job market has shifted for early-career professionals and what it actually takes to break in.


