TL;DR

Machine Learning Engineer (Fraud & Abuse): Lead the development of advanced machine learning systems to identify abusive users and fraudulent content, with a special focus on documents and content shared between users. Focus on leveraging the latest advances in NLP and machine learning to understand, flag, and stop suspicious patterns in real time to protect millions of users.

Location: Hybrid. %hirify_global% offers a dynamic hybrid working model. US locations are categorized into two compensation zones based on proximity to our hub locations.

Salary: $250,000 - $385,000/year (USD)

Company

Grammarly is now part of %hirify_global%, the AI productivity platform on a mission to unlock the %hirify_global% potential in everyone.

What you will do

Lead the development of advanced machine learning systems to identify abusive users and fraudulent content, with a special focus on shared documents.
Build models that evaluate both document content and user behavior to detect spam, scams, and manipulative activity.
Develop, deploy, and maintain critical systems for monitoring documents, interactions, and sharing patterns.
Leverage the latest advances in NLP and machine learning to understand, flag, and stop suspicious patterns in real time.
Deliver solutions that enable safe document sharing and support %hirify_global%’s global user base.

Requirements

MS / PhD in Computer Science.
5+ years of industry experience as a machine learning engineer or applied research scientist.
A deep understanding of modern algorithms and approaches to ML, NLP, and LLMs.
Experience building LLM-based products.
A deep care about the end-user experience and strives to ensure high quality.

Culture & Benefits

Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits).
Disability and life insurance options.
401(k) and RRSP matching.
Paid parental leave.
20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time.
Generous stipends (including those for caregiving, pet care, wellness, your home office, and more).
Annual professional development budget and opportunities.