Grammarly team members who will be collaborating at our San Francisco hub must be based in the United States.

The opportunity

Grammarly empowers people to thrive and connect, whenever and wherever they communicate. More than 30 million people and 30,000 teams around the world use our AI-powered writing assistant every day. All of this begins with our team collaborating in a values-driven and learning-oriented environment.

To achieve our ambitious goals, we’re looking for a Software Engineer focused on machine learning platforms to join our team. This individual will be responsible for building a platform to power machine learning systems across the company. The platform will be used by engineers, scientists, linguists, and others, enabling experts to spend more time using their machine learning expertise and less time on infrastructure-related work to support it.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs. The system you build will play an important role in accelerating these results. Read more about our stack or hear from our team on our technical blog.

Your impact

The Software Engineer focusing on machine learning platforms will need to stay up-to-date in this fast-moving field. This includes being aware of cloud platforms and open source tools that can be used in such a platform—and ideally being aware of some of the excellent platforms others are using, such as Michelangelo or FBLearner Flow. Natural language processing technology is critical to Grammarly’s success, so the platform will need to handle unique challenges, including enormous, sparse feature sets and the latest Transformer-based pre-trained deep learning models.

In this role, you will:

• Build a machine learning platform to accelerate the development of ML solutions across the company.
• Work with a wide range of internal customers, including computational linguists, machine learning engineers, and research scientists.
• Collaborate with people building user-facing features that rely on machine learning to understand the challenges and bottlenecks in the process.
• Produce system architectures and designs that balance the needs of multiple constituencies and make core scenarios seamless.
• Enable researchers to translate models they create into systems operating at scale.
• Help make Grammarly’s diverse array of machine learning systems more maintainable by providing a common set of infrastructure, orchestration, and monitoring.

We’re looking for someone who

• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Understands traditional machine learning algorithms and modern deep learning approaches as well.
• Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or large incoming data streams.
• Has experience with system design and building internal tools.
• Is aware of NLP techniques to effectively work with very high-dimensional, sparse data.

Support for you, professionally and personally

• Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development 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. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.
• Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package that includes superior health care. We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, admission discounts, and more.

We encourage you to apply

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, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.