Machine Learning Engineer, Risk

Grammarly is hiring a Machine Learning Engineer, Risk to join our fully remote team in the United States. As a Machine Learning Engineer, Risk, you'll turn data into insights and intelligent products. This is a full-time, work-from-home role open to candidates across the US (Remote — US). About the role You'll turn data into insights and intelligent products, partnering with a friendly, distributed team across US time zones. We care about outcomes over hours and give you the autonomy, tools, and support to do your best work from home. What you'll do: • Communicate findings to technical and non-technical audiences • Partner with stakeholders to define metrics • Maintain data pipelines and data quality • Build and validate models and dashboards • Analyze large datasets to surface actionable insights What we offer: • Flexible working hours across US time zones • Home office and wellness stipends • Generous paid time off and company holidays • Comprehensive medical, dental, and vision coverage • 100% remote, work-from-anywhere-in-the-US culture How we work We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career. Grammarly is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.

Minimum qualifications: • 2+ years of relevant experience • Understanding of statistics and experimentation • Familiarity with cloud data warehouses • Experience with data visualization tools • Clear communication skills Nice to have: • Comfort communicating clearly and proactively in writing • Familiarity with modern collaboration tools (Slack, Notion, Linear)