Principal Machine Learning Engineer, Forecasting

Grammarly is hiring a Principal Machine Learning Engineer, Forecasting to join our fully remote team in the United States. As a Principal Machine Learning Engineer, Forecasting, 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 — USA). 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: • Analyze large datasets to surface actionable insights • Build and validate models and dashboards • Communicate findings to technical and non-technical audiences • Maintain data pipelines and data quality • Partner with stakeholders to define metrics What we offer: • Flexible working hours across US time zones • Annual learning and professional development budget • 401(k) retirement plan with company match • Home office and wellness stipends • 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: • 7+ years of experience, including leading teams or projects • Familiarity with cloud data warehouses • Experience with data visualization tools • Strong SQL and Python (or R) • Understanding of statistics and experimentation Nice to have: • Experience working in a fully remote or distributed team • Experience in a fast-paced, high-growth environment