Software Engineer, Machine Learning

Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Grammarly Grammarly is the world's leading AI writing assistance company trusted by over 40 million people and 50,000 organizations. 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 Engineer specializing in NLP to join our Enterprise team in building new products and capabilities for our Enterprise customers. The person in this role will work with a high-performing team of Engineers, Product Designers, Computational and Analytical Linguists, Data Scientists, and Product Managers to build new AI products that improve communication in our customer organizations. 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. At Grammarly, we work in small, cross-functional project teams to leverage state-of-the-art ML advances, deep linguistic expertise, and human-centered product design. The person in this role will apply ML to solve new and challenging problems and build the infrastructure and systems to operate solutions effectively at scale. This will involve working on a highly cross-functional team in close partnership with Analytical Linguists, Computational Linguists, Data Scientists, and more. Qualifications Understands traditional machine learning algorithms and state-of-the-art techniques—including deep learning—and how to use them effectively. Has a deep understanding of modern algorithms for and approaches to ML and NLP. Has experience building LLM-based products and evaluating the performance of LLMs. Is comfortable reading academic papers and can take exciting ideas and apply them. Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or sizeable incoming data streams. Is highly entrepreneurial, energetic, and creative, and is comfortable working in a fast-paced environment with high levels of ambiguity and evolving product requirements. Can communicate with other humans more effectively than a generative AI system can. Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable. Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.

Grammarly is the world's leading AI writing assistance company trusted by over 40 million people and 50,000 organizations. 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.