Software Engineer, Machine Learning (Grammarly for Developers)

Key Skills

Algorithms, Deep Learning, Design, Machine learning techniques, Natural Language Processing (NLP), Python Programming, Software Development

Job Description

Grammarly is excited to offer a remote-first hybrid working model. Team members work primarily remotely in the United States, Canada, Ukraine, Germany, or Poland. Certain roles have specific location requirements to facilitate collaboration at a particular Grammarly hub.

All roles have an in-person component: Conditions permitting, teams meet 2–4 weeks every quarter at one of Grammarly’s hubs in San Francisco, Kyiv, New York, Vancouver, and Berlin, or in a workspace in Kraków. 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.

Grammarly team members in this role must be based in the United States or Canada, and they must be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.

The opportunity 

Every day, tens of millions of people and 50,000 professional teams worldwide trust Grammarly's AI and human expertise to help ideate, compose, revise, and comprehend communications. Our team members have the autonomy to take on exciting challenges in pursuit of our mission to improve lives by improving communication. Together, we're building on more than a decade of steady growth and profitability. We're defining the communication assistance category for individuals, enterprises, and developers with tailored service offerings: Grammarly Free, Grammarly Premium, Grammarly Business, and Grammarly for Education. Our latest product offering, GrammarlyGO, brings the power of generative AI to our users. It all begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment. 

Until now, our product has provided a largely uniform, identical experience to all its users. As we strive to define and advance the communication-assistant market, it’s become essential for our product to deliver a context-aware and personalized experience to every user. This requires understanding users’ intent, style, and communication preferences. Similarly, the Text Editor software development kit, Grammarly’s first developer offering, will provide contextually personalized experiences tailored to the app's communication use case and further empower our partners.

We are looking for a Machine Learning Engineer specializing in recommendation, relevance, or personalization to build these capabilities. This person will apply ML to solve new and challenging problems, as well as 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.

Grammarly’s engineers, researchers, and ML practitioners have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. They will have the chance to broaden and deepen their skills in machine learning and deep learning. Read more about our stack or hear from our team on our technical blog.

Your impact

As a Machine Learning Engineer specializing in personalization, you will have a significant customer-facing impact, including defining the personalized customer experience and working closely with Grammarly for Developers partners. Personalization is a top strategic goal for Grammarly. Most of the problems we’re tackling haven’t been solved before, which provides the opportunity for creative and innovative problem-solving.

In this role, you will:

• Build scalable end-to-end machine learning solutions to tackle customer challenges.
• Promote excellence and best practices across the Machine Learning team with regards to research, implementation, tooling, and system design.
• Collaborate cross-functionally to ship new features across our many interfaces.
• Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.
• Explore novel techniques to address previously unsolved problems.

We’re looking for someone who

• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
• Understands traditional machine learning algorithms and state-of-the-art techniques, including deep learning and how to use it effectively in practice.
• Is familiar with recommendation, relevance, or personalization and its application in the industry.
• Has an awareness of modern NLP techniques.
• Is comfortable reading academic papers and can take interesting ideas and apply them.
• Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or large incoming data streams.
• Has 6+ years of experience with software development in one or more programming languages.