Machine Learning Engineer, Core Product

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 to join our Core Product team. As we strive to define and dominate the communication-assistant market, our product needs to deliver a context-driven and personalized experience to every user. The ideal candidate will work with customers’ implicit and explicit feedback and interactions and infer new signals to understand users’ intent, previous communications, and context to advance the product. The person in this role will apply machine learning to solve new and challenging problems and build the infrastructure and systems to operate solutions effectively at scale. They will work in a highly cross-functional team, partnering with Analytical Linguists, Computational Linguists, Data Scientists, and more. Some experience in NLP is also a bonus.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 in Core Product, you will have a significant customer-facing impact, which includes defining the personalized customer experience. Personalization is a top strategic goal for Grammarly. 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 regarding research, implementation, tooling, and system design.• Work cross-functionally with various teams to get new features shipped across our many interfaces.• Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.Qualifications• Has experience developing and deploying machine learning systems at scale.• Understands traditional machine learning algorithms and state-of-the-art techniques and how to use them effectively.• Leverage the latest academic research to develop cutting-edge solutions, advancing Grammarly’s leadership in AI-enhanced communication tools.• 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 locations are categorized into two compensation zones based on proximity to our hub locations.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).