Aartificial intelligence, Agile methodologies, AI Safety, AI technology, Cryptography, Cyber Security, Cybersecurity, Data Modelling, Data science techniques, Data security, Deep Learning, Depth Estimation, Edge AI, Framework, Integrated Circuit, Java Programming, Large Language Models - LLMs, Linguistic, Logic-analyze, Machine learning techniques, Presentation skills, Python Programming, Reinforcement Learning, Responsible AI, Safety Systems
Grammarly is excited to offer a remote-first hybrid working model. Team members work primarily remotely in the United States, Canada, Ukraine, Germany, or Poland. Certain roles have specific location requirements to facilitate collaboration at a particular Grammarly hub.
All roles have an in-person component: Conditions permitting, teams meet 2–4 weeks every quarter at one of Grammarly’s hubs in San Francisco, Kyiv, New York, Vancouver, and Berlin, or in a workspace in Kraków. 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.
Grammarly team members in this role must be based in the United States or Canada, and they must be able to collaborate in person 3 weeks per quarter, traveling if necessary to the hub(s) where the team is based.
The opportunity
Grammarly is the world’s leading AI writing assistance company, trusted by over 30 million people and 70,000 professional teams daily. From instantly creating a first draft to perfecting every message, Grammarly’s product offerings help people at 96% of the Fortune 500 get their point across—and get results. Grammarly has been profitable for over a decade because we’ve stayed true to our values and built an enterprise-grade product that’s secure, reliable, and helps people do their best work—without selling their data. We’re proud to be one of Inc.’s best workplaces, a Glassdoor Best Place to Work, one of TIME’s 100 Most Influential Companies, and one of Fast Company’s Most Innovative Companies in AI.
To achieve our ambitious goals, we’re seeking the FIRST AI Security Researcher to join Grammarly Security. This is a unique opportunity for a hands-on technical lead to own the vision, technical direction, and roadmap for AI security at the company globally. Their findings and contributions will directly impact the development of robust AI technologies and safeguard all Grammarly product offerings and services against emerging security and responsible AI risks. User trust is at the heart of everything we do.
Grammarly’s security researchers have the freedom to develop practical solutions that, in turn, influence our security culture. The engineering landscape at Grammarly is complex as we create innovative product offerings, expand to new platforms, and scale underlying cloud systems—all while strengthening and expanding our global team. You can hear more from our team on our technical blog.
Your impact
As a Lead AI Security Researcher, you will:
We’re looking for someone who
Support for you, professionally and personally
Compensation and benefits
Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:
Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.
United States:
Zone 1: $320,000 – $450,000/year (USD)
Zone 2: $290,000 – $420,000/year (USD)
Grammarly is a cloud-based typing assistant that reviews spelling, grammar, punctuation, clarity, engagement, and delivery mistakes in English language text. It uses artificial intelligence to identify and search for an appropriate replacement for the located error.
San Francisco, CA, USA
2-4 year
Vancouver, BC, Canada
2-4 year