Applied Research Scientist Intern

United States; Remote

Applications have closed

Grammarly

Grammarly makes AI writing convenient. Work smarter with personalized AI guidance and text generation on any app or website.

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Grammarly is excited to offer a remote-first hybrid working model. Team members can work primarily remotely in the United States, Canada, Ukraine, Germany, Poland, and Portugal. Conditions permitting, teams will meet in person a few weeks every quarter at one of Grammarly's hubs, currently in San Francisco, Kyiv, New York, Vancouver, and Berlin, or in a shared workspace in Krakow.

Participants in the Applied Research Science internship program must be based in the United States or Canada.

The opportunity 

Empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. 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 motivated PhD student to join our Research team in USA, Canada, Germany, or Poland for three months in 2023. The internship has flexible start dates. We seek students who ideally are nearing the completion of their PhD and have a background in natural language processing, machine learning, and deep learning. The deadline to apply is Dec 15, 2022.

This intern will participate in Grammarly’s work in multiple areas of challenging problems such as writing assistance, controllable text generation, summarization, personalization, and many others. Our Research team actively publishes in leading journals and conferences while creating the next generation of features and product offerings for tens of millions of daily active users. 

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 it on our technical blog.

Your impact

As an intern at Grammarly, you’ll work with our research scientists, engineers, and linguists. The majority of the problems we’re tackling haven’t already been solved elsewhere, which provides the opportunity for creativity and innovative problem-solving. You’ll apply your knowledge and learn new skills to improve our writing assistance systems and conduct foundational, exploratory research, pushing the boundaries of the field and powering the next generation of writing assistance tools.  

In this role, you will: 

  • 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.
  • Produce sound experimental results to enable decision-making as we iterate on a project.
  • Be results-oriented in the face of ambiguous problems and uncertain outcomes.
  • Contribute to the broader research community by publishing research papers in machine learning, natural language processing, and related areas.

We’re looking for someone who

  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Can collaborate in person for 1–2 weeks during the summer, traveling if necessary to our San Francisco hub where our teams meet.
  • Can solve large, complex problems with multiple stakeholders and where there are no obvious solutions.
  • Takes initiative and drives results.
  • Applies creativity to solve problems that haven’t been solved before.
  • Follows the data ruthlessly, looking for evidence to disconfirm hypotheses and changing perspectives when that’s what the data indicates.

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.

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 applicable law. Grammarly is an equal opportunity employer and a participant in the US Federal E-Verify program.

Grammarly currently supports the long-term work of team members in the following US states: Arizona, California, Colorado, Florida, Georgia, Illinois, Maine, Massachusetts, Minnesota, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania (Kennett Township, New London Township, Pittsburgh City, Shaler Township), South Carolina, Texas, Utah, Virginia, and Washington, as well as the District of Columbia 

Grammarly currently supports the long-term work of team members in the following Canadian provinces: British Columbia, Ontario 

Please note that Grammarly’s COVID-19 vaccination policy requires that all team members in North America be vaccinated against COVID-19 to meet in person for Grammarly business or to work from a North America hub location. It is expected that this will be a requirement for this role. Qualified candidates in North America who cannot be vaccinated for medical reasons or because of a sincerely held religious belief may request a reasonable accommodation to this policy. For Europe, this policy requires team members to be vaccinated or produce a daily negative COVID-19 test administered on-site to work from the hub or attend in-person meetings.

#LI-Hybrid

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Deep Learning Machine Learning NLP PhD Research

Perks/benefits: Career development Conferences Flex hours Startup environment Team events

Regions: Remote/Anywhere North America
Country: United States
Job stats:  94  19  1

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