Machine Learning Engineer, Grammarly

Core Product

$254-399k

US salary dependent on location. The expected salary range for Canada candidates: $279,000 – $361,000/year (CAD)

SQL

Python

Scala

Tensorflow

PyTorch

Junior, Mid and Senior level

Remote from Canada, US

More information about location

AI-powered writing assistant

Job no longer available

AI-powered writing assistant

1001+ employees

B2CArtificial IntelligenceLanguagesProductivityCommunicationSaaS

Job no longer available

$254-399k

US salary dependent on location. The expected salary range for Canada candidates: $279,000 – $361,000/year (CAD)

SQL

Python

Scala

Tensorflow

PyTorch

Junior, Mid and Senior level

Remote from Canada, US

More information about location

1001+ employees

B2CArtificial IntelligenceLanguagesProductivityCommunicationSaaS

Company mission

Grammarly's mission is to improve lives by improving communication.

Job

Company

Role

Who you are

Some experience in NLP is also a bonus
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
Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based
Has experience developing and deploying machine learning systems at scale
Understands traditional machine learning algorithms and state-of-the-art techniques and how to use them effectively
Leverage the latest academic research to develop cutting-edge solutions, advancing Grammarly’s leadership in AI-enhanced communication tools

What the job involves

To achieve our ambitious goals, we’re looking for a Machine Learning Engineer to join our Core Product team
As we strive to define and dominate the communication-assistant market, our product needs to deliver a context-driven and personalized experience to every user
The ideal candidate will work with customers’ implicit and explicit feedback and interactions and infer new signals to understand users’ intent, previous communications, and context to advance the product
The person in this role will apply machine learning to solve new and challenging problems and build the infrastructure and systems to operate solutions effectively at scale
They will work in a highly cross-functional team, partnering with Analytical Linguists, Computational Linguists, Data Scientists, and more
As a Machine Learning Engineer in Core Product, you will have a significant customer-facing impact, which includes defining the personalized customer experience
Personalization is a top strategic goal for Grammarly
Most of the problems we’re tackling haven’t been solved elsewhere, which provides the opportunity for creative and innovative problem-solving
Build scalable end-to-end machine learning solutions for challenging customer problems
Explore novel techniques to tackle previously unsolved problems
Promote excellence and best practices across the Machine Learning team regarding research, implementation, tooling, and system design
Work cross-functionally with various teams to get new features shipped across our many interfaces
Effectively communicate technical machine learning results in a business context where most people are not machine learning experts

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, including 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 position 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

Top investors

44% employee growth in 12 months

Glassdoor (3.4)

Trustpilot (3.4)

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

(Co-Founder & 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

(Co-Founder & 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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