Machine Learning Engineer, AI

The opportunity

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 professional teams every day. From instantly creating a first draft to perfecting every message, Grammarly’s product offerings help people at 96% of the Fortune 500 get their point across—and get results. Grammarly has been profitable for over a decade because we’ve stayed true to our values and built an enterprise-grade product that’s secure, reliable, and helps people do their best work—without selling their data.

We’re proud to be one of Inc.’s best workplaces, a Glassdoor Best Place to Work, one of TIME’s 100 Most Influential Companies, and one of Fast Company’s Most Innovative Companies in AI.

To achieve our ambitious goals, we’re looking for a Machine Learning Engineer specializing in NLP to join our Responsible AI team. The Responsible AI team develops technology integrated into all Grammarly products to make them as safe and fair as possible. The person in this role will be responsible for developing and implementing new ML solutions to improve the safety and fairness of various Grammarly products.

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 s will involve working on a highly cross-functional team in close partnership with Analytical Linguists, Computational Linguists, Data Scientists, and more.

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.

As a Machine Learning Engineer on the Responsible AI team, you will significantly impact Grammarly and its users by building technology that improves safety and fairness for every single product Grammarly launches. Most of the problems we’re tackling haven’t been solved elsewhere, which provides the opportunity for creative and innovative problem-solving.

In this role, you will:

• Build scalable end-to-end machine learning solutions for challenging customer problems.
• Explore novel techniques to tackle previously unsolved problems.
• Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design. Mentor other team members in these areas.
• Work cross-functionally with various teams to integrate risk mitigation technology into different Grammarly products.
• Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.

• 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 2 weeks per quarter, traveling if necessary to the hub where the team is based.
• Understands traditional machine learning algorithms, state-of-the-art techniques—including deep learning—and how to use them effectively.
• Has expertise in NLP, safety, fairness, and Responsible AI.
• 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 large incoming data streams.

• Professional growth:
  We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We support professional development and advancement with training, coaching, and regular feedback.
• A connected team:
  Grammarly builds a product…