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July 12, 2026

Scale AI Internship 2027–2028: Programs, Deadlines & How to Apply

Scale AI internships for 2027–2028: $60/hr pay, SF & NYC locations, rolling applications. See eligibility, interview prep, and tips from the $29B AI infrastructure leader.

Written by:

Bifei Wang

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Scale AI Internship 2027–2028: Programs, Deadlines & How to Apply

Last updated: July 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 2027–2028 cycle (you apply during 2027, you intern in summer 2028), applications are expected to open between July and October 2027 on a rolling basis.

But here's the reality: Scale fills positions as applications arrive, so the earlier you submit, the better your odds.

Quick Facts

FactDetail
Where to applyscale.com/careers/university or the Greenhouse portal
Application window (2027–28)Expected July to October 2027 for summer 2028 (rolling; not yet posted)
Rolling?Yes. Scale AI reviews applications as they arrive; the Summer 2026 rolling deadline was September 30
EligibilityCurrently enrolled undergrad or grad in CS, EECS, or related quantitative field; U.S. work authorization required
Duration12 weeks (May/June to August/September)
Compensation$60/hr (~$10,400/month) + $7,000 housing stipend + free meals (SF office)
Return offersNot publicly disclosed; NACE industry average is 62% offer rate
Primary locationSan Francisco (HQ); also New York City (1 World Trade Center) and remote for some tracks
# Tracks6 intern tracks: SWE, ML Research, Post-training, SEAL, AI Builder, Technical Advisor

The numbers that matter: a rolling window expected to open July 2027, a 12-week program paying $60/hr ($10,400/month) with a $7,000 housing stipend, and 6 distinct intern tracks across SWE, ML Research, and AI Safety. U.S. work authorization required.

Externships are short, remote professional experience programs where you finish a real project with a real company. The Wayfair AI Agent Engineering for Business Intelligence Externship and the Beats by Dre Data Analytics Externship build exactly the Python, data pipeline, and AI engineering evidence that a rolling application to Scale AI needs. Explore all Externships.


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.

Young software engineer in a casual hoodie walking through a modern San Francisco office lobby on a weekday morning, flo

When Do Scale AI Internship Applications Open for 2027–2028?

Scale AI runs on a rolling calendar that rewards early movers. Based on prior cycles, SWE Intern postings appeared in June/July 2025 for summer 2026, with a rolling deadline of September 30. For the summer 2028 cycle, listings are expected between July and October 2027, with interviews flowing from September 2027 through February 2028 and offers rolling after that. The gap from application open to internship start is roughly 8 to 11 months, so the technical skills you bring to your application need to be built before July 2027.

Now · Summer 2026YOU ARE HERE

Applications for summer 2028 don't exist yet. This is the skill-building window: what sits on your resume when Greenhouse opens determines whether rolling review reaches you at all.

The Wayfair AI Agent Engineering Externship and the Beats by Dre Data Analytics Externship are remote, real-company projects that give a rolling application finished AI and data work to point at.
Fall 2026 to spring 2027

Build your portfolio: contribute to open-source ML projects, ship a side project using LLM APIs or agentic frameworks, and compete in hackathons or coding competitions. Scale values a 'track record of shipping high-quality products at scale.'

July to October 2027EXPECTEDROLLING — APPLY WEEK 1

The summer 2028 window is expected to open here on a rolling basis. Scale reviews applications as they arrive and positions fill continuously. Apply in the first week.

September 2027 to March 2028EXPECTED

Rolling process: 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.

May to August 2028

12 weeks as an intern at Scale AI. Ship products, publish research, or build agentic systems depending on your track.

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 only shot at getting reviewed when the most seats are still open.

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 show, 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.

TrackFocusDurationKey skills
Software Engineering InternFull-stack product engineering, UI/UX tooling, AI infrastructure12 weeksPython, TypeScript, React, MongoDB, shipping products at scale
Machine Learning Research InternComputer vision (2D/3D), NLP, meta-learning, LLM evaluation12 weeksPython, PyTorch, deep learning, research publications
Research Intern, Post-trainingScalable oversight, synthetic data, post-training methods, frontier reasoning12 weeksLLMs, NLP, agents, safety and alignment research
SEAL Research Scientist InternAI safety evaluation, red teaming, dangerous capabilities assessment12 weeksLLMs, evaluation science, benchmarking, PhD-level research
AI Builder InternAgentic workflows, internal tools, API automation12 weeksPython, React, LLM APIs (OpenAI, Anthropic), LangChain, RAG
Technical Advisor Intern (GenAI)Training models on complex reasoning, identifying failure modesSemester (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, with expected graduation of Fall 2028 or Spring 2029 (for the Summer 2028 cycle, extrapolated from prior patterns).

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 at scale.' 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.

Overhead close-up of a developer's desk staged for a coding session, a mechanical keyboard next to an open notebook with

Can Freshmen or Sophomores Apply?

It depends on the track. The SWE Intern role requires prior internship experience and a graduation date 1 to 2 years out, 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.

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 2027–2028

Python
6 of 6
Machine Learning / Deep Learning
5 of 6
Large Language Models (LLMs)
5 of 6
NLP / Computer Vision
4 of 6
TypeScript / React
3 of 6
Distributed Systems / Data Pipelines
3 of 6
AI Safety / Evaluation / Red Teaming
3 of 6
Research & Publication Track Record
3 of 6
Agentic AI Frameworks (LangChain, LangGraph, CrewAI)
2 of 6

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?

SWE intern hiring right now: July 2026

Across US SWE-intern postings tracked this week · aggregate market data, all employers

=
SWE intern postings holding steady through early July as the summer cycle winds down and fall recruiting ramps up
AI/ML specialization carries a premium: ML-engineer intern postings advertise higher compensation than general SWE-intern roles, reflecting the talent shortage in applied AI
The full-time bench is deep: thousands of US software-engineer postings are open right now, with AI-focused roles commanding top-of-market compensation

July 2026 is this tracker's baseline month, so month-over-month shifts appear at the August update. The signal now is specialization: AI/ML interns command a premium over general SWE, and Scale AI sits squarely at the top of that tier.

Method: aggregate analysis of US SWE-intern and software-engineer postings, July 2026 baseline. Sample indexes under half of all US postings; figures show direction and relative level, not total market share.

Build These Skills Before You Apply

Every top skill in the chart maps to a remote Externship where you finish a real company project before the window opens.

Skill (from real JDs)JD evidenceExternship that builds it
Python + AI/Data PipelinesSWE 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 + InsightsAll tracks: data-driven decision-making, understanding model quality and performance metricsBeats by Dre Data Analytics
Product Engineering + Shipping FastSWE JD: "track record of shipping high-quality products at scale"; 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 Beats by Dre 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.

r/Blind Scale AI employee, paraphrased · read the thread

Still a relatively immature organization in terms of processes. Decisions made very quickly; agility is a strength but sometimes moves too fast.

r/Glassdoor employee review, paraphrased · read the thread

Simple hiring process, wonderful manager, good program. Though there can be a lack of work at times depending on your team.

r/Glassdoor GenAI Technical Advisor Intern, March 2026 · read the thread

How Do You Stand Out When Rolling Review Starts in July?

Three moves, all executable before the window opens. First, apply in week one; rolling admissions plus continuous review means timing is itself a filter, so bookmark the Greenhouse portal and check weekly starting July 2027. 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, use 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.

Student in a dark crewneck sweater sitting at a standing desk in a quiet co-working space, hands hovering over a laptop

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.

Two interns collaborating at a whiteboard in a bright open-plan office, one sketching a system architecture diagram whil

FAQ

How hard is it to get a Scale AI internship?

Very competitive. Scale AI is a $29B company that requires prior internship experience for its SWE track and research publications for ML roles. The company receives high application volume, and warm referrals from current employees significantly outperform cold applications. Your best edge is applying early in the rolling window with shipped projects on your resume.

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 SWE Intern role requires prior internship experience and a graduation date 1-2 years out, 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. Spend the runway building proof: 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.

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