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 theFortune 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 Cloud 100, one of ’s 100 Most Influential Companies, one of ’s Most Innovative Companies in AI, and one of ’s Best Workplaces.
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.
- 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.
Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:
- 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
- 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and unlimited sick days
- Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
- Annual professional development budget and opportunities
Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.
United States:
Zone 1: $329,000 – $399,000/year (USD)
Zone 2: $254,000 – $359,000/year (USD)
Canada:
Zone 1: $279,000 – $361,000/year (CAD)
For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information.
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
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What We Do
Grammarly’s digital writing assistant helps 30 million people and 70,000 teams write more clearly and effectively every day. In building a product that scales across multiple platforms and devices, Grammarly works to empower users whenever and wherever they communicate.
Why Work With Us
At Grammarly, we’re defining what a digital writing assistant can be. So far, we help 30 million people and 30,000 teams communicate every day, and we’re always pushing the possibilities of our product. With a globally connected team that collaborates with autonomy and trust, we’re focused on long-term success—and excited about our future.
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Grammarly Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.