Grammarly is hiring a
Machine Learning Engineer

Summary

Grammarly is seeking a Lead Machine Learning Engineer to join their Marketing Technology team. The role involves building machine learning solutions for marketing problems, collaborating with various teams, and driving business impact. The position requires the candidate to be based in the United States or Canada and able to collaborate in person 2 weeks per quarter.

Requirements

• 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
• Has solid software engineering fundamentals, including knowledge of classical algorithms and data structures
• Has a solid understanding of the principles and best practices of developing software systems on a large scale
• Has the ability to apply machine learning algorithms to ad optimization tasks effectively
• Has strong knowledge of probability and statistics
• Has expertise in Python, its ecosystem, and Python-based ML tools and frameworks
• Has experience in Ad Optimization domain: knowledge of different types of ad channels, multi-channel budget allocation, key marketing performance metrics

Responsibilities

• Drive business impact by building scalable end-to-end machine learning solutions for challenging marketing problems
• Help Growth EPD and Marketing teams make data-driven decisions
• Your work will help drive multiple topline KPIs - LTV/CAC, number of activated and retained users, bookings revenue, etc
• Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design
• Work cross-functionally with various teams: Marketing, Marketing Analytics, Data Science, ML Infrastructure, and Product, to name a few
• Effectively communicate technical machine learning results in a business context where most people are not machine learning experts

Benefits

• 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
• Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days
• Home office stipends
• Caregiver and pet care stipends
• Wellness stipends
• Admission discounts
• Learning and development opportunities