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.
Requirements & Skills:
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.
Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
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 the Ad Optimization domain: knowledge of different types of ad channels, multi-channel budget allocation, key marketing performance metrics.
