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Senior Applied Research Scientist


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Job Details

Location: Sportyvna Square, 1a, Kyiv, Ukraine, 01023 Posted: Jan 17, 2020

Job Description

The opportunity

Grammarly empowers people to thrive and connect, whenever and wherever they communicate. More than 20 million people 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 bright research scientist with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL). In this role, you will work with other researchers, engineers, and linguists to create the next generation of writing and communication assistance tools. So if you relish the challenge of building exciting new products that will impact millions of lives, we’d love to meet you!

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. Read more about our stack or hear from our team on our technical blog .

Your impact

  • Develop state-of-the-art tools for correcting, improving, and enhancing written English by using a variety of NLP, machine learning, and deep learning technologies.
  • Productionize and ship these features into Grammarly’s product, which is used by millions of users daily.
  • Stay abreast of the latest technologies.
  • Contribute to the research strategy and technical culture of the company.
  • Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing platform.
  • Be an active member of the AI community by attending and speaking at events in Ukraine and abroad and by contributing to technical blogs and journals.

We’re looking for someone who

  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Has excellent knowledge of ML/DL theoretical underpinnings.
  • Has at least one year of industry experience researching and developing machine learning and deep learning technologies for real-world products.
  • Has a research mentality and math-oriented mindset.
  • Is proficient in at least one programming language (preferably Python).
  • Has good written and spoken English.
  • Has practical experience in solving NLP problems (this would be a plus).

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 products that help 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 ample and defined time off, catered lunches, 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. Grammarly is an equal opportunity company. 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, criminal prosecution, judgment in a criminal case, or any other characteristic protected by law.

About Grammarly

Help us improve how people connect with and understand each other. We want to help people everywhere communicate clearly and effectively. This means growing our Engineering team so we can continuously improve the feedback our product provides on advanced, context-specific elements of communication, like tone and readability.

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