Abnormal Security Internship 2027–2028: No Formal Program Yet, but Here Is How to Break In
Last updated: August 2026
Abnormal Security crossed $200 million in annual recurring revenue in about five years while sustaining triple-digit year-over-year growth, and more than a quarter of the Fortune 500 now rely on it to stop AI-generated email attacks. The $5.1 billion unicorn, which rebranded to Abnormal AI in 2025 and now lists Las Vegas as its headquarters, has never run a consistent annual technical internship, but it has hired interns before and its AI-native interview process rewards exactly the skills you can build now. Here is everything you need to position yourself before the next intern seats appear.
Quick Facts
| Fact | Detail |
|---|---|
| Where to apply | abnormal.ai/careers/open-roles (Greenhouse board). No intern roles are posted as of August 2026; set a job alert and monitor from fall 2026 |
| Application window (2027–28) | Not yet announced. No annual intern program exists. If a SWE/ML intern req returns, applications for summer 2027 are expected to open around fall 2026 (projected from the 2023 technical-intern cycle) |
| Rolling? | Not confirmed for interns. Full-time roles fill on a rolling basis; overall hiring averages ~31 days (Glassdoor, 149 interviews). Historical intern roles were single reqs, suggesting opportunistic, rolling hiring |
| Eligibility | Not confirmed for 2027. The 2023 technical-intern JD targeted rising seniors and final-year students (December 2023 or May 2024 grads) with strong CS fundamentals and remote-work maturity |
| Duration | Not confirmed. The 2022 company-wide program ran ~3 months; a summer 2027 technical internship is expected to run ~10 to 12 weeks |
| Compensation | No official 2027 figure. Community data (Levels.fyi, 2023 cycle): SWE intern ~$50.95/hr (~$8,831/mo) plus a $1,250 housing data point; Glassdoor blended intern average ~$34/hr. Directional only |
| Return offers | NOT FOUND. No official or community intern-to-full-time conversion rate was located, consistent with Abnormal not running a steady annual cohort |
| Locations | Remote – USA is dominant. Registered HQ is now Las Vegas, NV (moved from San Francisco); plus New York roles and a large hybrid engineering hub in Bangalore, India |
| # Programs | 0 intern programs posted as of August 2026 (74 open roles, all full-time). Documented history: a company-wide non-technical program (Summer 2022) and technical ML/SWE intern roles (Summer 2023) |
Abnormal Security has no intern roles posted as of August 2026 and does not run a consistent annual technical internship, but it has hired ML and software engineering interns before (Summer 2023). The interview is AI-native (you use AI on a real codebase, then ship a feature and tests), community pay data points to roughly $50/hr for SWE interns, and the company is now headquartered in Las Vegas with most engineering fully remote.
Externships are short, remote projects where you finish real work for a real company. The Wayfair AI Agent Engineering Externship and the Hydroficient IoT Cyber Defense Externship build the applied ML-systems and security-engineering evidence that Abnormal's AI-native, project-based interview rewards. Explore all Externships.
What Is an Abnormal Security Internship?
Abnormal Security, which now operates as Abnormal AI, builds an AI-native "human behavior security" platform: behavioral machine learning that models how people normally act to catch socially-engineered email attacks, business email compromise, and account takeovers across Microsoft 365, Google Workspace, Slack, Workday, and more. Founded in 2018 by Evan Reiser and Sanjay Jeyakumar (ML-infrastructure builders from TellApart, Twitter, and Google), it reached $200M+ in ARR and a $5.1 billion valuation in under six years, with 1,000+ employees and 3,000+ customers across 35 countries. An Abnormal internship is not a fixed annual program: the company ran a company-wide (mostly non-technical) internship in Summer 2022 and posted ML and software engineering intern roles for Summer 2023, but there is no consistently scheduled technical intern cohort. When technical interns are hired, the work is pragmatic detection and platform engineering: the Detection Engineering team explicitly does not measure success by papers or patents, and every intern is expected to own real projects end to end.
When Do Abnormal Security Internship Applications Open for 2027–2028?
Abnormal Security has no published internship timeline because there is no consistently scheduled technical program. The dates below are projected from Abnormal's documented prior cycles, a company-wide internship in Summer 2022 and ML/SWE intern roles for Summer 2023, and every date is labeled expected. On that precedent, if a SWE or ML intern req returns, applications for summer 2027 would be expected to open around fall 2026, with interviews over winter 2026 into spring 2027 and a summer 2027 start. The build window is now: sharpen your CS fundamentals, get fluent using AI tools on unfamiliar codebases, and set a Greenhouse alert on abnormal.ai/careers so you see any intern req the day it posts.
No intern roles are posted at Abnormal (74 open roles, all full-time). This is the build window: become fluent with AI-assisted coding on large, unfamiliar codebases, ship a backend or applied-ML project, and set a Greenhouse job alert on abnormal.ai/careers.
Prep window. Build CS fundamentals and AI-assisted coding fluency, and ship a project that touches backend systems or applied ML (bonus points for coupling an ML model with rule-based logic, which mirrors Abnormal's product).
If a SWE/ML intern req returns, applications for summer 2027 are expected to open around fall 2026 (projected from the 2023 technical-intern cycle). Historical intern roles were single remote reqs filled on a rolling basis, so apply the week it appears.
Interviews run about 31 days on average (Glassdoor). Expect a recruiter screen, a hiring-manager interview, an AI-assisted coding round on a real codebase, then roughly four team rounds. Offers extended on a rolling basis into spring 2027.
Projected internship start around June 2027, running ~10 to 12 weeks on the 2022 (~3 month) precedent. Remote – USA is the dominant setup, and the company is now headquartered in Las Vegas, Nevada.
Why You Must Apply the Week Applications Open
There is no fixed application window to game because Abnormal does not run a scheduled annual intern cohort, which is exactly why speed matters when a req does appear. Historical intern roles were single postings filled on a rolling basis, and the full-time board today (74 roles, no interns) turns over the same way. So the winning move is to be ready before the posting exists. Three things: first, get genuinely fluent using AI tools to read and modify large, unfamiliar codebases, because Abnormal's technical screen hands you a real codebase, asks you to understand it with AI, then implement a feature and write tests. Second, build a backend or applied-ML project you can talk about end to end, since Detection Engineering rewards shipping over research. Third, set a Greenhouse job alert on abnormal.ai/careers now and apply the day an intern or new-grad "Software Engineer I / Associate SWE" req posts. Referrals help, about 12% of Glassdoor candidates came in through an employee referral, so start building those relationships during the runway.
Which Abnormal Security Internship Programs Should You Target?
Abnormal Security has zero intern tracks posted as of August 2026. The tracks below are projected from Abnormal's engineering org (its current 74-role board) and the one documented technical intern role from the Summer 2023 cycle. Treat them as the most likely placements if the program returns, not as confirmed openings.
| Track | Focus | Location | Key skills |
|---|---|---|---|
| Software Engineer Intern (primary) | Backend and full-stack features on Message Security, the Multi-Product Platform, or the Data Platform | Remote – USA (historical) | Strong CS fundamentals, backend systems, testing and performance |
| ML / Detection Engineer Intern | Detection Engineering: signaling, labeling, and retraining systems; productionizing ML at near-real-time scale (the documented 2023 role) | Remote – USA | ML Ops, data pipelines, batch/real-time/stream processing, model training |
| ML Engineer Intern (Message Security) | ML models that separate safe email from attacks; feature engineering that couples ML with rule-based systems | Remote – USA | Applied ML, model-efficacy debugging, on-call model ops |
| Data Platform / Infrastructure Intern | Data platform, cloud infrastructure, and serving platforms behind the product | Remote – USA / Bangalore (hybrid) | Distributed systems, cloud, backend |
| Non-technical tracks (documented 2022) | Strategic finance, product marketing, People Operations, accounting, and field/channel marketing | Various | Business analysis and ownership of a real, end-to-end project |
See live openings at abnormal.ai/careers/open-roles. Abnormal's Detection Engineering is explicitly not a research or "scientist" role, it "does not measure success by papers or patents," so candidates who prefer pragmatic, customer-impact engineering over publications have the edge if intern roles return.
What Are the Eligibility Requirements?
Abnormal has no intern postings live, so there are no published intern eligibility requirements. The following is inferred from the documented 2023 "ML Engineer Intern – Software Engineer" JD (Detection Engineering, remote) and current full-time reqs:
• Formal program: No intern program is scheduled as of August 2026. All 74 open roles are full-time. Abnormal last posted technical intern roles for the Summer 2023 cycle.
• Academic bar: The 2023 technical-intern JD targeted students graduating with a Bachelor's or Master's around December 2023 or May 2024, i.e., rising seniors and final-year students.
• Technical: Strong computer science fundamentals with a clear orientation toward code quality, testing, and performance.
• Work style: Able to work independently in a remote setting across multiple time zones, with a bias for moving quickly and iterating on honest feedback.
• Nice-to-haves: Prior startup experience, genuine interest in cybersecurity, and participation in computing/ML competitions or hackathons.
• Work authorization: NOT FOUND. No intern-specific visa-sponsorship data was located.
Does Abnormal Hire Entry-Level and Intern Engineers?
Inconsistently, but yes, it has. Abnormal ran a company-wide (mostly non-technical) internship in Summer 2022 and posted ML/SWE intern roles for Summer 2023, and its full-time board carries entry-level "Software Engineer I" and "Associate SWE" (P1) reqs. What it does not have is a dependable annual technical cohort, so the realistic path for undergraduates is opportunistic: watch the board, apply the moment an intern or new-grad req posts, and lean into the AI-native, project-based interview by showing you can ship. One culture caveat worth knowing: Glassdoor's lowest category is Work/Life Balance (3.3/5), and reviews are polarized, with strong ownership and growth ratings sitting alongside complaints about pace and leadership. Fast and high-pressure is the norm.
What Skills Does Abnormal Security Look For, and How Do You Build Them?
Abnormal's one documented technical-intern JD and its current ML/SWE reqs point in the same direction: strong CS fundamentals, backend engineering at scale, and applied ML that ships to production. This is Detection Engineering, not research, the team combines ML models with rule-based systems to catch email attacks at near-real-time scale, and success is measured by customer impact, not papers. Eight of the nine skills below come straight from the 2023 intern JD; production ML serving is reinforced by current full-time ML reqs. Notably, Abnormal tests these through practical challenges on a real codebase rather than algorithmic puzzles, so the ability to read unfamiliar code (with AI help) and ship a working feature matters more than LeetCode speed.
What Abnormal Security looks for in interns
Skills across 4 Abnormal Security intern & analyst job descriptions · 2023 technical-intern JD + 3 current Abnormal full-time SWE/ML reqs; projecting the summer 2027 cycle
Method: full-text read of Abnormal's one documented technical intern JD (ML Engineer Intern – Software Engineer, Detection Engineering, Summer 2023) cross-referenced against three current full-time reqs (ML Engineer II – Message Security, SWE II – Full Stack, SWE I – Data Platform). No intern JD exists for 2027; counts show how many of the four JDs name each skill. Soft skills (humility, communication, comfort with ambiguity) are evaluated in interviews but not listed as JD qualifications.
How Is Demand for Software Engineering Interns Moving Right Now?
Software engineering intern hiring right now: July 2026
Across US software-engineer-intern postings tracked this month · aggregate market data, all employers
July 2026 is this tracker's baseline month, so the first month-over-month shift shows at the August update. The signal today is level: intern demand is steady, and the ML-heavy end of it pays more, which favors candidates aiming at AI-native companies like Abnormal.
Method: aggregate analysis of US software-engineer-intern, machine-learning-intern, and software-engineer postings via Adzuna, July 2026 baseline. The sample indexes a fraction of all US postings, so figures show direction and relative level, not total market share.
Build These Skills Before You Apply
And every skill in that chart maps to a remote Externship where you finish a real project before a req opens.
| Skill (from real JDs) | JD evidence | Externship that builds it |
|---|---|---|
| Backend engineering, CS fundamentals & shipping in unfamiliar codebases | Intern JD: "strong CS fundamentals," "build scalable, performant backend systems," "optimize at near real-time scale" | Wayfair AI Agent Engineering |
| Applied ML, model training & ML Ops / data pipelines | Intern + FT ML JDs: "productionizing and scaling ML solutions," "training ML models," "signaling/labeling/retraining systems" | Wayfair AI Agent Engineering |
| Detection & security engineering, threat-aware systems | Intern JD: coupling ML, rules, and product inputs into detection; participate in on-call and debug model-efficacy issues | Hydroficient IoT Cyber Defense |
How close is the overlap? The Wayfair project is agent-engineering work that produces the build-and-ship evidence Abnormal's real-codebase interview probes for, and the Hydroficient IoT Cyber Defense project gives you hands-on security-engineering signal for a company whose entire product is threat detection.
What Is the Abnormal Security Application and Interview Process Like?
Abnormal has no separate intern hiring process. The loop below is the full-time SWE/ML flow, which would most likely serve as the template if intern roles return. It is notably AI-native: Abnormal encourages ethical, visible AI use throughout.
1. Monitor and apply. Set a Greenhouse alert on abnormal.ai/careers/open-roles starting fall 2026 and apply online the day a SWE/ML intern or new-grad "Software Engineer I / Associate SWE" req posts. About 71% of Glassdoor candidates applied online, 14% via recruiter, and 12% via employee referral, so a referral helps.
2. Recruiter screen. Background, motivation, and role/team fit. Read the official hiring guide at abnormal.ai/careers/hiring first, Abnormal advertises "practical challenges that mirror real problems," not algorithmic filters.
3. Hiring-manager interview. Your past projects, key experience, and genuine interest in the team. Detection Engineering wants builders, so lead with things you have shipped end to end.
4. Technical screen (AI-assisted coding). This is the distinctive round: you are given a real, large codebase (one recent report named a "Sentinel" codebase), asked to understand it using AI, then implement a feature (for example, a rule engine) and write tests. Using AI tools is encouraged, not penalized.
5. Team / panel rounds (~4 members). Additional technical and behavioral interviews with roughly four team members. The final hiring-manager round is decisive, one candidate reported losing the offer there, and the whole loop can run long (about 31 days on average).
Two things to internalize. First, the interview rewards showed fluency with AI on unfamiliar code plus the judgment to ship and test a real feature, so practice exactly that. Second, the process skews substantive over trivia: difficulty is a moderate 2.8/5 on Glassdoor, but "positive experience" sits at just 28%, and the multi-round loop plus final-round weight means preparation and stamina matter.
What Students on Reddit Say
First-hand intern threads are thin, so these paraphrase the closest SWE and intern-relevant community consensus.
The full loop ran about five rounds with quick feedback between them, and the final hiring-manager round is decisive; this candidate was strong throughout but lost the offer at the last stage.
Abnormal showed up as a competitive summer internship offer weighed against Palantir and Oscar Health, which is real evidence that a well-regarded technical intern track has existed here.
Candidates prepping for the Software Engineer 2 loop treat it as substantive rather than trivia and swap notes on the multi-round, project-oriented process.
How Do You Break Into a Company Without a Scheduled Intern Program?
Three moves, all executable now. First, build real AI-on-codebase fluency: Abnormal's technical screen hands you a large, unfamiliar codebase and asks you to understand it with AI, then ship a feature and tests, so practice doing exactly that on an open-source project and keep the result public. Second, ship a backend or applied-ML project you can defend end to end, because Detection Engineering rewards pragmatic, customer-impact engineering over research; a project that couples an ML model with rule-based logic mirrors Abnormal's actual product. Third, get in the queue early: with no annual cohort, the candidates who break in are the ones already positioned when a req posts, so set a Greenhouse alert on abnormal.ai/careers, warm up an employee referral, and apply the week an intern or new-grad SWE role appears. A genuine interest in cybersecurity, plus any ML-competition or hackathon experience, is a documented plus.
What Other Companies Should You Consider?
Abnormal sits at the intersection of AI and cybersecurity. If you are building an internship list around AI-native security engineering, these are the natural neighbors:
- CrowdStrikePublic cybersecurity leader (and an Abnormal investor via its Falcon Fund) with large, structured engineering and security intern programsCareers site
- Palo Alto NetworksEnterprise security giant with a mature, annually scheduled internship pipeline across software and security engineeringCareers site
- PalantirData and AI platform company that recruits interns hard and appeared alongside Abnormal in community offer comparisonsCareers site
- MicrosoftRuns one of the largest, most predictable SWE internship programs, and its security org (Defender) overlaps Abnormal's spaceGuide →
- DatadogFast-growing observability and security platform with a well-run engineering internship and rolling technical hiringCareers site
Our tech internships summer 2027 guide maps the whole landscape, timeline by timeline.
FAQ
Can I still apply for a summer 2026 Abnormal Security internship?
Realistically, no. As of August 2026 there are zero intern roles posted (74 open roles, all full-time), and Abnormal does not run a scheduled annual technical cohort, so a summer 2026 intern seat is not something you can apply to now. The productive move is to target summer 2027: set a Greenhouse alert on abnormal.ai/careers, and if a SWE/ML intern or new-grad req posts, applications for summer 2027 would be expected to open around fall 2026.
Does Abnormal Security offer internships?
Not on a consistent, publicly-scheduled basis. Abnormal ran a company-wide (mostly non-technical) internship in Summer 2022 and posted ML and software engineering intern roles for Summer 2023, so the program has existed, but there is no clearly annual technical cohort. Monitor abnormal.ai/careers from fall 2026.
What would a summer 2027 Abnormal internship pay?
No official 2027 number exists. Community data from the 2023 cycle (Levels.fyi) reports a Software Engineer Intern rate of about $50.95/hr (~$8,831/month) plus a $1,250 housing data point; Glassdoor's blended intern average is about $34/hr. Treat these as directional, not official.
What is the Abnormal interview like?
Typically a recruiter screen, a hiring-manager interview, an AI-assisted technical screen, and around four team-member rounds. The technical screen is AI-native: recent candidates were given a large codebase, told to understand it using AI, then asked to implement a feature and write tests. Abnormal explicitly encourages ethical AI use. Average difficulty is 2.8/5 and the process runs about 31 days.
Where is Abnormal Security headquartered, and is the work remote?
Abnormal was founded and historically headquartered in San Francisco, but its registered headquarters is now listed as Las Vegas, Nevada. In practice, US engineering is remote-first ("Remote – USA" dominates the board), with a large hybrid engineering hub in Bangalore, India and additional roles in New York.
What full-time comp could an Abnormal internship lead to?
Levels.fyi (US) shows full-time SWE total compensation from about $179K at entry (P1) to $393K (P5), with a median around $296K and four-year equity vesting. Abnormal runs a pay-for-performance model, and everyone receives equity.
What skills should I highlight?
Strong CS fundamentals, backend engineering at scale, batch/real-time/stream processing, ML Ops and data pipelines, model training and feature engineering, and rigorous testing and performance, plus demonstrable end-to-end ownership. Genuine cybersecurity interest and ML-competition or hackathon experience are documented pluses.
Does Abnormal sponsor visas for interns?
NOT FOUND. No intern-specific visa-sponsorship information was located in public sources. Confirm sponsorship directly with the recruiter if an intern req appears.
Abnormal Security has no scheduled intern program today, but it has hired ML and software engineering interns before, and its AI-native interview rewards skills you can build right now. Spend the runway building proof: a remote Externship turns interest in AI-native security into a finished, defensible project you can point to the moment a req posts.
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.
