Applied Research Scientist PhD Intern (Summer 2025)

Posted 3 Hours Ago
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Hiring Remotely in United States
Remote
1 Years Experience
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Good writing moves work forward.
The Role
As an Applied Research Scientist PhD Intern, you will work with top researchers to design and implement state-of-the-art deep learning and natural language processing algorithms, solving key research problems for Grammarly's AI features. Your role involves conducting foundational research, producing experimental results, and contributing to publishing in leading journals.
Summary Generated by Built In

Grammarly is excited to offer a remote-first hybrid working model. Grammarly team members in this role must be based in the United States, and, depending on business needs, they must be able to meet in person for collaboration weeks during the internship, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of the Fortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The opportunity 

To achieve our ambitious goals, we’re looking for motivated PhD interns to join our Strategic Research team for three months in the summer of 2025. ​​The Strategic Research team develops novel AI algorithms bespoke to Grammarly's product offerings, informs critical decisions, explores novel research spaces, uncovers new capabilities, and paves the way for new AI-powered features. The team collaborates with industry and academia to advance the company's research and development efforts. 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 contribute to multiple challenging problems, including writing assistance, controllable text generation, summarization, personalization, responsible AI, and many others. Our Research team actively publishes in leading journals and participates in conferences, all 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. You can hear more from our team on our technical blog.

As an Applied Research Scientist PhD Intern, you’ll work with our research scientists, engineers, and linguists. Most of the problems we’re tackling haven’t yet been solved elsewhere, providing the opportunity for creativity and innovative problem-solving. In this role, you will apply your knowledge and learn new skills to improve our writing assistance systems. You will conduct foundational, exploratory research, pushing the field's boundaries and powering the next generation of writing assistance tools.

In this role, you will:

  • Work alongside a group of top-notch researchers to design and implement SoTA DL and NLP algorithms to solve challenging research problems that are the core of  Grammarly’s AI features.
  • Produce sound experimental results to enable decision-making as we iterate on projects.
  • 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.

Qualifications

  • Is currently enrolled in a PhD.
  • Has solid theoretical and practical knowledge of machine learning, with a focus on natural language processing. 
  • Has experience developing novel deep learning algorithms and training LLMs.
  • Has a proven track record in independently conducting SoTA AI research, evidenced by publishing at top-tiered conferences.
  • Is proficient with Python and familiar with ML frameworks and tools, such as PyTorch, JAX, HuggingFace, and Langchain.
  • Is passionate about contributing to AI research breakthroughs that can improve the communication for everyone.
  • Can solve large, complex problems with multiple stakeholders and no obvious solutions.
  • Takes the 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 the data indicates.
  • Is available for the entire duration of a twelve-week program. 
  • Embodies our EAGER values—is 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.
  • Can collaborate in person for 2 weeks during the summer, traveling if necessary to our US hubs. 

Compensation

The expected pay for this position is $74.00 - $83.00 USD/hour and may be modified in the future. 

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, 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).

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Top Skills

Deep Learning
Machine Learning
Natural Language Processing

What the Team is Saying

Celeste
Maryna
Brad
Shanik
The Company
HQ: San Francisco, CA
900 Employees
Hybrid Workplace
Year Founded: 2009

What We Do

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 professional teams every day. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of the Fortune 500 get their point across—and get results—without compromising security or privacy. We believe that great writing gets work done.

Grammarly’s product offerings—Grammarly Business, Grammarly Premium, Grammarly Free, and Grammarly for Education—work where you do, delivering contextually relevant writing support across over 500,000 apps and websites.

Founded in 2009, Grammarly is No. 7 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces. We operate with a remote-first hybrid work model, meaning we primarily work from home and meet for in-person collaboration at our hubs in North America and Europe.

Why Work With Us

Grammarly’s values-driven team is growing to support our expanding user base and continue developing our writing assistance into a truly comprehensive communication partner. Our working model balances remote work with in-person collaboration at Grammarly’s hubs in San Francisco, Kyiv, New York, and Vancouver.

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Grammarly Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQSan Francisco, CA
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Kiev, UA
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New York, NY
Seattle
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