Machine Learning Software Engineer, Grammarly

• 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

• 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

• Support for professional development with training, coaching, and regular feedback
• Global, local, and team-specific events and programs
• Catered lunches
• Gym and recreation stipends
• Admission discounts
• Work from home opportunities
• Medical, dental, vision, financial, and other benefits, as well as equity
• Support to set up a home office
• Ample and defined time off
• 401(k) matching

Total funding: $400m

From professional writing to everyday correspondence, effective communication is critical. Grammarly is an AI-powered writing assistant that helps people write clearly and without mistakes, checking spelling, grammar, and other potential pitfalls.