Grammarly is hiring a
Machine Learning Engineer

Summary

Join Grammarly's Enterprise team as a Machine Learning Engineer specializing in NLP to build 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.

Requirements

• 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

Responsibilities

• Apply ML to solve new and challenging problems and build the infrastructure and systems to operate solutions effectively at scale
• 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

Benefits

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching
• Paid parental leave
• Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days
• Home office stipends
• Caregiver and pet care stipends
• Wellness stipends
• Admission discounts
• Learning and development opportunities