Machine Learning Engineer, Growth

The opportunity

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 professional teams every day.

From instantly creating a first draft to perfecting every message, Grammarly’s product offerings help people at 96% of the Fortune 500 get their point across and get results.

Grammarly has been profitable for over a decade because we’ve stayed true to our values and built an enterprise-grade product that’s secure, reliable, and helps people do their best work without selling their data.

We’re proud to be one of Inc.’s best workplaces, a Glassdoor Best Place to Work, one of TIME’s 100 Most Influential Companies, and one of Fast Company’s Most Innovative Companies in AI.

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, enhance 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.

Your impact

As a Lead Machine Learning Engineer of the Growth org, you will transform the way 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, 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 : 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.

We’re looking for someone who

• 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 Ad Optimization domain : knowledge of different types of ad channels, multi-channel budget allocation, key marketing performance metrics.

Support for you, professionally and personally

Professional growth : We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being.

We support professional development and advancement with training, coaching, and regular feedback.

A connected team : Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values.

We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities, such as BIPOC and LGBTQIA+ team members, women, and parents.

We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.

Compensation and benefits

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
• 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

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index.

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.

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)