Last updated: July 2026
Grammarly serves over 30 million daily active users and is valued at $13 billion, yet the intern class is small: 29 ML interns and 12 SWE interns in summer 2025. That ratio, enormous product surface to tiny cohort, means every intern ships production code within weeks and some co-author research papers by the end. For the 2027–2028 cycle (you apply fall 2026, you intern summer 2027), postings typically go live September to November and close by early winter. So the calendar, not just your resume, is the filter.
Quick Facts
| Fact | Detail |
|---|---|
| Where to apply | grammarly.com/careers or job boards (Built In, General Catalyst portfolio). Set an alert so you catch week one |
| Application window (2027–28) | Expected September to November 2026 for Summer 2027 SWE and ML tracks. Projected from prior cycles, not yet posted |
| Rolling? | Not confirmed. Grammarly uses a fixed window (fall open, winter close) but likely reviews applications as they arrive, so earlier is better |
| Eligibility | SWE: enrolled in a BS in CS or related field. ML: ideally 1+ year into an MS or PhD. Must be US-based and able to work hybrid in San Francisco |
| Duration | 12 weeks, full-time, hybrid in San Francisco (2 days/week in-office minimum) |
| Compensation | SWE SF $47/hr (~$7,520/month). ML SF $54/hr (~$8,640/month). Housing stipend of $2,667/month for SF-based ML interns |
| Visa sponsorship | No sponsorship information available for interns. Postings require candidates to be based in the United States |
| Locations | San Francisco (primary), with collaboration weeks requiring in-person attendance. Berlin office hosts some European interns |
| # Programs | 5+ tracks: Software Engineering, Machine Learning Engineering, Product Design, Corporate Legal, Product Marketing |
Two numbers matter: a cohort of roughly 40 interns across all tracks, and a fixed application window that opens in the fall and closes before spring. No published GPA floor, no acceptance rate, so timing and demonstrated skill do the work.
Externships are short, remote projects where you finish real work for a real company. The Wayfair AI Agent Engineering Externship and Beats by Dre Data Analytics Externship build the coding, ML, and data evidence a Grammarly application and its HackerRank OA reward. Explore all Externships.
What Is a Grammarly Internship?
A Grammarly internship is a paid, 12-week placement that puts students on real engineering teams building features for a product used by over 30 million people daily. The company, valued at $13 billion, is an AI writing assistant built on NLP, deep learning, and LLMs, and interns work on that core technology. The cohort is intentionally small: 41+ interns in summer 2025, split across SWE and ML tracks, with dedicated mentors and production-level projects. Inc. Best Workplaces honoree three years running, and the engineering culture emphasizes hackathons, 'Fun Fridays,' and cross-functional collaboration. So the brand is real, and the small class means every seat comes with outsized impact.
When Do Grammarly Internship Applications Open for 2027–2028?
Grammarly's calendar is predictable from past cycles even without exact 2027 dates. Engineering intern postings appear September to November, with the cohort filling by early winter. The pattern has held for at least two cycles: summer 2025 SWE and ML roles posted fall 2024, summer 2026 roles posted fall 2025. So for summer 2027, expect applications to open September to November 2026, roughly 8 to 10 months before start. The window is fixed, not rolling, but earlier applicants likely get reviewed first.
Applications for summer 2027 don't exist yet. This is the build window: your resume when postings open in September decides whether Grammarly's review reaches you.
Polish your resume with project work and LeetCode practice. Focus on Medium-difficulty problems: arrays, strings, hash maps. Study Grammarly's EAGER values (Ethical, Adaptable, Gritty, Empathetic, Remarkable) for behavioral prep.
SWE and ML intern postings expected to go live on grammarly.com/careers and job boards. Applications likely reviewed as they arrive, so apply within the first week or two.
The funnel: HackerRank OA first (3 problems, 2 hours), then a behavioral interview, then a technical interview with a Grammarly engineer. Average 28 days from application to hire.
12 weeks, hybrid in San Francisco. Ship production code, partner with a dedicated mentor, and treat it like a paid audition for a return offer.
Why You Must Apply the Week Applications Open
Grammarly doesn't confirm rolling admissions, but the pattern is clear: a fixed window opens in the fall and closes by winter. Applications are likely reviewed as they come in, and the cohort is small, roughly 40 interns total. That math means a late application lands in a smaller pool of remaining seats. How fast does the window tighten? Summer 2026 SWE listings were already marked 'no longer accepting applications' on job boards by early 2026, just months after posting. So set an alert on grammarly.com/careers, and submit within the first week a role appears.
Which Grammarly Internship Programs Should You Target?
Grammarly runs 5+ distinct intern tracks spanning engineering, design, legal, and marketing. Which one should you target? The honest answer is the track whose skills you can already evidence, because every round tests your fit for that specific role and your alignment with Grammarly's EAGER values.
| Program | Focus | Duration | Key skills |
|---|---|---|---|
| Software Engineering Intern | Front-end, back-end, full-stack, or mobile engineering on products used by 30M+ DAU | 12 weeks | Java / JavaScript / Python / Go, data structures, software development lifecycle |
| Machine Learning Engineering Intern | ML, NLP, LLM work across writing assistance, responsible AI, on-device capabilities | 12 weeks | Python, deep learning (PyTorch / TensorFlow), NLP, evaluation methodology (MS / PhD preferred) |
| Product Design Intern | UX/UI design for Grammarly products across platforms | 12 weeks | Design thinking, prototyping, user research |
| Corporate Legal Intern | Legal operations supporting a global AI company ($38/hr) | 12 weeks | Legal research, contract review, regulatory awareness |
| Product Marketing Intern | Growth experiments, CRO, acquisition page optimization | 12 weeks | Data analysis, A/B testing, marketing strategy |
See every open track on grammarly.com/careers. SWE and ML tracks are the largest cohorts, with 12 SWE interns and 29 ML interns in summer 2025.
What Are the Eligibility Requirements?
Grammarly's requirements vary by track, but a few lines repeat across postings:
• SWE Intern: currently enrolled in a bachelor's program in computer science or a related field. Proficiency in at least one language from their stack (Java, JavaScript, C#, Python, or Go). Strong CS fundamentals and the ability to work independently.
• ML Intern: ideally finished at least one year of a master's or PhD program. Background in machine learning and deep learning, proficiency in Python and Python-based ML tools, and familiarity with NLP and large language models.
• Location: must be based in the United States and able to work hybrid in San Francisco (minimum 2 days per week in-office). Some collaboration weeks require travel to the team hub.
• Work authorization: postings require US residency. No explicit sponsorship information is available for intern roles.
Does Grammarly Have a GPA Cutoff?
No specific GPA requirement is mentioned in any Grammarly intern posting. The interview difficulty is rated 3.3 out of 5 on Glassdoor, moderate compared to FAANG, and 75% of applicants rated the experience as positive. What actually gates you is the HackerRank OA and your ability to demonstrate strong technical communication and independent problem-solving. Projects and hands-on ML or coding experience beat a decimal on your transcript.
What Skills Does Grammarly Look For, and How Do You Build Them?
Read across Grammarly's SWE and ML intern job descriptions plus interview data, and the pattern holds. Python appears in both tracks, Java and JavaScript dominate the SWE side, and NLP and deep learning are table stakes for ML. But the skill list only tells half the story. Grammarly's EAGER values (Ethical, Adaptable, Gritty, Empathetic, Remarkable) are the framework every behavioral interview is scored against, and JD phrases like 'work independently with minimal guidance' and 'strong technical communication' map onto them. So what does that mean? Bring the coding, then wrap every story in an EAGER value.
What Grammarly looks for in interns
Skills across 5 Grammarly intern & analyst job descriptions · 2025–26 cycle Grammarly intern JDs, projecting 2027–2028
Method: full-text analysis of five Grammarly intern job descriptions read verbatim on job boards (three SWE, two ML). Prior-cycle basis; the EAGER values are evaluated in behavioral interviews rather than listed as JD qualifications, so they sit alongside this chart, not inside it.
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 week · aggregate market data, all employers
July 2026 is this tracker's baseline month, so month-over-month shifts show up at the August update. The signal today is level: intern demand is steady, and the ML-heavy end of it, exactly Grammarly's core, pays more.
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 role opens.
| Skill (from real JDs) | JD evidence | Externship that builds it |
|---|---|---|
| Python, data structures & algorithm fluency | SWE JDs: "strong computer science fundamentals" and "proficiency in at least one programming language" | Wayfair AI Agent Engineering |
| Data analysis & metrics-driven decisions | ML JDs: "data preprocessing and evaluation methodology" and cross-functional experiment work | Beats by Dre Data Analytics |
| Technical communication & collaboration | All JDs: "strong technical communication skills" and "ability to work independently with minimal guidance" | Wayfair AI Agent Engineering |
How close is the overlap? The Wayfair project is agent-engineering work that yields the build-and-explain evidence Grammarly's technical interview probes for, and the Beats project ends on the data-driven experimentation story a behavioral round wants.
What Is the Grammarly Application and Interview Process Like?
Grammarly's funnel is short and skills-first, with an average of 28 days from application to hire:
1. Apply on grammarly.com/careers or partner job boards. Submit your resume and standard application questions. Cover letter is optional but can differentiate you in a small cohort.
2. HackerRank Online Assessment, about 2 hours. Three algorithmic coding problems ranging from easy to hard (LeetCode equivalent). 67% of reported problems are Medium difficulty. Focus areas: arrays, strings, hash maps, tree traversal.
3. Behavioral interview, 30 to 45 minutes. Video call assessing motivation, background, and cultural fit against Grammarly's EAGER values. Come with stories that show adaptability, grit, and empathy.
4. Technical interview with a Grammarly engineer, 45 to 60 minutes. Live coding problem on HackerRank plus a discussion of your approach, tradeoffs, and engineering thinking. For ML track: model design, evaluation methodology, and system architecture.
5. Offer decision. Typically within 1 to 2 weeks of the final interview.
So the two skills to drill are clear: LeetCode Medium fluency for the OA and coding round (arrays, strings, hash maps), and three to four EAGER-aligned stories flexible enough for any behavioral question. For the ML track, add deep-learning fundamentals and NLP evaluation methodology.
What Students on Reddit Say
Three community perspectives show the process from the inside, all paraphrased.
Grammarly's final behavioral round is short but focused. Interviewers care a lot about how you communicate your thought process and whether you align with their EPIC values. Prepare concrete examples of collaboration and ownership rather than just technical wins.
Grammarly SWE intern pay is competitive with major tech companies, and the remote-first setup means you save on relocation costs. Most people recommend choosing Grammarly over traditional finance-tech rotational programs if you want deeper engineering ownership on a real product.
Grammarly's internship timeline moves slowly. Many applicants report waiting several weeks after the OA before hearing back, and the full process can stretch across two or three months. Apply early in the cycle and don't assume silence means rejection.
How Do You Stand Out in a Cohort of 40?
Three moves, all before a posting opens. First, apply in week one: the window is fixed and the cohort is small, so late applications compete for fewer remaining seats. Second, clear the OA on purpose, drilling LeetCode Medium problems (arrays, strings, hash maps) until they're automatic, because 67% of reported Grammarly OA problems sit at that difficulty. Third, bring EAGER-aligned stories backed by real artifacts, so 'tell me about a time you showed grit' gets a deliverable, not a hypothetical. And use the product: Grammarly values candidates who genuinely care about improving communication, and thoughtful product feedback in the behavioral round separates you from applicants who haven't signed in.
What Other Companies Should You Consider?
Grammarly isn't the only AI company hiring a small, high-impact intern cohort. If you're building an AI and productivity tech internship list, these are the obvious neighbors:
- Duolingofellow AI-powered consumer product; NLP-heavy engineering cultureGuide →
- Notionproductivity SaaS with a similar engineering-first ethosGuide →
- DatabricksAI/ML infrastructure; strong ML intern pipelineGuide →
- OpenAIfrontier AI research; smaller cohort, higher research barGuide →
- AnthropicAI safety research company; ML and research-heavy internshipsGuide →
Our tech internships summer 2027 guide maps the whole landscape, timeline by timeline.
FAQ
When do Grammarly internship applications open for summer 2027?
Expect SWE and ML intern postings to go live between September and November 2026, based on patterns from summer 2025 and 2026 cycles. Those dates are projected, not official. Set a job alert on grammarly.com/careers.
Is Grammarly internship hiring rolling?
Not explicitly confirmed. Grammarly uses a fixed application window that opens in fall and closes by winter. However, applications are likely reviewed as they arrive, so applying early gives you an advantage over later applicants.
How much does a Grammarly internship pay?
SWE interns in San Francisco earn $47/hr (~$7,520/month). ML interns earn $54/hr (~$8,640/month). ML interns also receive a $2,667/month housing stipend. These rates are from the 2025-2026 cycles and may adjust for 2027.
What is the Grammarly internship interview process?
Three stages: a 2-hour HackerRank OA with 3 algorithmic problems, a 30-to-45-minute behavioral interview assessing EAGER values fit, and a 45-to-60-minute technical interview with a Grammarly engineer. Average time from application to hire is about 28 days.
Does Grammarly sponsor visas for interns?
No sponsorship information is publicly available for intern roles. Postings require candidates to be based in the United States. Check the specific role listing for the most current sponsorship policy.
What programming languages should I know for a Grammarly SWE internship?
Proficiency in at least one of Java, JavaScript, C#, Python, or Go. Grammarly's backend uses Java and Go, the frontend is React (TypeScript), and the ML stack runs on Python. The core grammar engine is written in Common Lisp, though that's not expected of interns.
How competitive is a Grammarly internship?
Selective but approachable compared to FAANG. Interview difficulty is rated 3.3 out of 5 on Glassdoor, and 75% of applicants rated the experience as positive. The SWE track accepts bachelor's students, while the ML track prefers candidates 1+ year into an MS or PhD.
Do Grammarly interns get return offers?
No official conversion rate is published. However, intern projects regularly ship to production, some ML interns co-author research papers, and the program is structured with dedicated mentors and real impact. Industry average intern-to-full-time conversion is about 51%.
Grammarly's cohort is small, but every seat comes with outsized impact on a product used by 30 million people. Spend the runway building proof: a remote Externship turns 'interested in Grammarly' into a finished project you 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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