PhD Research Intern
Grammarly is continuing to grow our team during the COVID-19 pandemic, conducting fully remote hiring and onboarding processes. All Grammarly team members can work remotely until September 2021. Read more about how we’re supporting our team and communities.
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 motivated PhD student to remotely join our research team in San Francisco for three months in 2021. 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.
This intern will support Grammarly’s work on multiple areas spanning natural language processing, machine learning, and deep learning, focusing on challenging problems in the areas of controllable text editing and generation. Our research team actively publishes in leading journals and conferences while creating the next generation of writing assistance features and product offerings for 30 million 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 our stack or hear from our team 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, NLP, and related areas.
We’re looking for someone who
- Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
- 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 the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.