Machine Learning Engineer, Ad Bidding Optimization

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 Machine Learning Engineer on the Marketing Technology team, you will transform the way marketing is done at Grammarly. You will improve data‑driven decision‑making, enhance customer experiences, and optimize marketing campaigns, ultimately leading to improved business outcomes and higher customer satisfaction.

In this role you will:

• Drive business impact by building scalable end‑to‑end machine learning solutions for challenging marketing problems.
• Help marketing teams make data‑driven decisions.
• Personalize marketing efforts, tailoring content and offers to individual customers.
• 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—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 Optimisation 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: $271,000 – $337,000 (USD)

Zone 2: $244,000 – $303,000 (USD)

Zone 3: $$230,000 – $286,000(USD)

Zone 4: $217,000 – $270,000 (USD)

Canada

Zone 1: $224,000 – $279,000 (CAD)

Zone 2: $190,000 – $237,000 (CAD)

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).

Please note that EEOC is optional and specific to US‑based candidates.