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Machine Learning Engineering Intern (Summer 2025)

United States; Hybrid

Grammarly is excited to offer a remote-first hybrid working model. Grammarly team members in this role must be based in the United States, and, depending on business needs, they must be able to meet in person for collaboration weeks during the internship, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of the Fortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Machine Learning Intern to join our Engineering team for three months in the summer of 2025. We seek students who, ideally, have finished at least one year of master’s or PhD program and have a background in machine learning and deep learning. 

Machine learning interns will work on various projects across Engineering, spanning writing assistance, personalization, responsible AI, on-device capabilities, and marketing. In this role, the intern will help Grammarly tackle some of our most interesting technical challenges and gain real-world experience shipping features to millions of users. 

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As a Machine Learning Intern, you will help tackle some of Grammarly’s biggest machine learning challenges. In this role, you will:

  • Work on end-to-end ML challenges related to your team’s high-level goals.
  • Develop data-driven solutions using machine learning, deep learning, and potentially NLP technologies.
  • Iterate quickly in a fast-paced environment and leverage your unique point of view to share feedback on product direction.
  • Partner with a mentor to scope, design, and execute a fully formed project over the duration of your internship. 
  • Collaborate with a strong, cross-functional team of professionals from whom you can learn daily, especially with a mentor. 
  • Get your hands on various APIs, frameworks, and programming languages. 
  • Learn from all the challenges that come from shipping a product to tens of millions of daily active users.

Qualifications

  • Is available for the entire duration of a twelve-week program. 
  • Is currently enrolled in a full-time, degree-seeking program and in the process of obtaining a master’s or doctorate degree in computer science or a related field.
  • Is passionate about Grammarly’s mission—improving lives by improving communication.
  • Has solid machine learning fundamentals, including traditional methods and deep learning. Some teams will also leverage NLP and large language models.
  • Has proficiency in at least one programming language (preferably Python and Python-based ML tools) 
  • Is excited to learn!
  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.
  • Is able to collaborate in person for 2 weeks during the summer, traveling if necessary to our US hubs. 

Compensation

The expected pay for this position is $54.00 USD/hour and may be modified in the future. 

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

#LI-Hybrid

 

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