Machine Learning Software Engineer, Grammarly
$256-506k
AI-powered writing assistant
Open for applications
AI-powered writing assistant
1001+ employees
Open for applications
$256-506k
1001+ employees
Company mission
Grammarly's mission is to improve lives by improving communication.
Role
Who you are
- Understands traditional machine learning algorithms and state-of-the-art techniques—including deep learning—and how to use them effectively
- Has a deep understanding of modern algorithms for and approaches to ML and NLP
- Has experience building LLM-based products and evaluating the performance of LLMs
- Is comfortable reading academic papers and can take exciting ideas and apply them
- Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or sizeable incoming data streams
- Is highly entrepreneurial, energetic, and creative, and is comfortable working in a fast-paced environment with high levels of ambiguity and evolving product requirements
- Can communicate with other humans more effectively than a generative AI system can
- Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable
- Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust
What the job involves
- To achieve our ambitious goals, we’re looking for a Machine Learning Engineer specializing in NLP to join our Enterprise team in building new products and capabilities for our Enterprise customers
- The person in this role will work with a high-performing team of Engineers, Product Designers, Computational and Analytical Linguists, Data Scientists, and Product Managers to build new AI products that improve communication in our customer organizations
- 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
- At Grammarly, we work in small, cross-functional project teams to leverage state-of-the-art ML advances, deep linguistic expertise, and human-centered product design
- The person in this role will apply ML to solve new and challenging problems and build the infrastructure and systems to operate solutions effectively at scale
- This will involve working on a highly cross-functional team in close partnership with Analytical Linguists, Computational Linguists, Data Scientists, and more
Our take
From professional writing to everyday correspondence, effective communication is critical. Grammarly is an AI-powered writing assistant that helps people write clearly and without mistakes, checking spelling, grammar, and other potential pitfalls.
Grammarly was originally launched as a subscription service for students, although the platform has moved into the mainstream in the last decade. It went freemium in 2015 and now works across more than 500,000 applications and websites including email clients, enterprise software, and word processors. Paid tiers give users more tools beyond grammar and spelling checks to include things like word choice, sentence rewrites, tone adjustments, fluency, and formality level.
The company has been profitable since the beginning and now has a valuation of more than $13 billion, placing it among the 10 most valuable startups in the US. The AI writing assistant space is heating up, and Grammarly is hoping to defend its positions against offerings including Scalenut, Ginger and Microsoft's Editor by the release of its SDK, making it far easier to integrate Grammarly into other applications. So far this has been used in over 4,000 products and earned excellent ratings and increased user numbers of Grammarly's service.
Steph
Company Specialist at Welcome to the Jungle
Insights
44% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Nov 2021
$200m
LATE VC
Oct 2019
$90m
LATE VC
Total funding: $400m
Company benefits
- Support for professional development with training, coaching, and regular feedback
- Global, local, and team-specific events and programs
- Catered lunches
- Gym and recreation stipends
- Admission discounts
- Work from home opportunities
- Medical, dental, vision, financial, and other benefits, as well as equity
- Support to set up a home office
- Ample and defined time off
- 401(k) matching
Company HQ
Financial District, San Francisco, CA
Leadership
Alex Shevchenko
(Board Member)Studied at Vienna's International University before receiving an MBA from the University of Toronto. Co-founded MyDropBox.com in 2006. The company was bought by Blackboard Inc. three years later. Co-founded Grammarly in 2009.
Max Lytvyn
(Head of Revenue & Board Member)Studied for an MBA at Vanderbilt University before joining Blacboard Inc. as Director of Product Strategy in 2007. Was General Manager and then Partner at Sciworth Labs from 2004 to 2013. Was a Board Member at Uniweb and invested in farmland investment platform FarmTogether.
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