Machine Learning Engineer, Growth Lead

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 Grammarly

Grammarly 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 Opportunity

To achieve our ambitious goals, we’re looking for a Machine Learning Engineer to join our Marketing Technology team. This team is responsible for building systems that empower and enhance the company's marketing efforts and strategies. The person in this role will help shape marketing strategies, improve customer experiences, and optimize marketing campaigns. They will be responsible for leveraging data and advanced algorithms to improve the performance and efficiency of advertising campaigns with the goal of maximizing the return on investment (ROI) for ad spend and delivering targeted ads to the right audience. 

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 Lead Machine Learning Engineer of the Growth org, you will transform how ML is applied to solve Growth problems. Your work will directly impact the topline KPIs that Growth team contributes to the overall business. You will lead research and exploration and help establish a robust ML development process for the organization. This is a high-impact role with a direct line of the channel with the area leads and the senior leadership team.

 In this role, you will:

• 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, including Marketing, Marketing Analytics, Data Science, ML Infrastructure, and Product. 
• Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.

Qualifications

• 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, including knowledge of different types of ad channels, multi-channel budget allocation, and key marketing performance metrics. 
• 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 Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Exc