Machine Learning Engineer, Responsible AI

Grammarly is excited to offer a remote-first hybrid working model. Grammarly team members in this role must be based in the United States or Canada, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.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.About GrammarlyGrammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. 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. 7 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 OpportunityTo 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 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 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.Qualifications• 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.• 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.• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.Compensation And BenefitsGrammarly offers all team members competitive pay along with a benefits package encompassing the following and more:• 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• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and unlimited sick days• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)• Annual professional development budget and opportunitiesGrammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index.Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.United StatesZone 1: $329,000 – $399,000/year (USD)Zone 2: $254,000 – $359,000/year (USD)CanadaZone 1: $279,000 – $361,000/year (CAD)For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information.We encourage you to applyAt Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).