Remote Machine Learning Engineering Intern

Summary

Join Grammarly's Engineering team as a Machine Learning Intern for three months in the summer of 2025 and work on various projects across Engineering, spanning writing assistance, personalization, responsible AI, on-device capabilities, and marketing.

Requirements

• 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

Responsibilities

• 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