Grammarly · 3 hours ago
Machine Learning Engineer, Agents
San Francisco Bay Area
Full-time
Hybrid
Senior Level
$250K/yr - $385K/yr
5+ years expGrammarly, now part of Superhuman, is an AI productivity platform aiming to unlock superhuman potential in everyone. As a Machine Learning Engineer, you will develop and deploy sophisticated ML models and build a groundbreaking AI agent platform, playing a pivotal role in evolving Grammarly into an indispensable productivity suite for enterprises.
Responsibilities
Shape the Future of Productivity: Play a pivotal role in evolving Grammarly from a beloved writing assistant into an indispensable, AI-native productivity suite for enterprises
Build a Groundbreaking AI Agent Platform: Spearhead the development of a new platform where multiple AI agents collaborate to solve complex user problems. You will be responsible for the core orchestration, routing, and planning systems
Own Critical ML Systems: Develop and deploy sophisticated ML models for core product experiences, including search ranking and proactive suggestions that anticipate user needs
Integrate Cutting-Edge AI: Work at the forefront of the AI landscape, building ML components that integrate with the latest and most powerful models to create magical user experiences
Thrive in a High-Impact Environment: Join a foundational team where you will operate with a high degree of autonomy and product sense in a fast-paced, ambiguous environment
Ship Your Work Fast: Move quickly from idea to impact. We have no red tape or endless approvals—just a focus on making meaningful contributions to a platform used by millions
Protect Shared Documents: 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
Analyze Content and Behavior: Build models that evaluate both document content and user behavior, allowing for nuanced and effective detection of spam, scams, and manipulative activity within shared environments
Own Key Detection Pipelines: Develop, deploy, and maintain critical systems for monitoring documents, interactions, and sharing patterns, providing proactive interventions to keep collaborative workspaces safe
Integrate Leading AI Approaches: Operate at the forefront of fraud prevention by leveraging the latest advances in NLP and machine learning to understand, flag, and stop suspicious patterns in real time
High-Impact, Mission-Aligned Work: Join a focused, mission-driven team where your contributions directly protect millions of users. Enjoy autonomy, rapid iteration, and the chance to make decisions that shape the future of secure collaboration
Deliver Results Quickly: Move swiftly from concept to deployment, building solutions that enable safe document sharing and support Superhuman’s global user base
Qualification
Required
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
Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments
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
Company
Grammarly
Grammarly stands with Ukraine. We invite you to do the same.
1001-5000 employees
H1B Sponsorship
Grammarly has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (43)
2024 (33)
2023 (26)
2022 (16)
2021 (27)
2020 (13)
Funding
Current Stage
Late StageLeadership Team
Rahul Roy-Chowdhury
Chief Executive Officer
Alex Shevchenko
Co-Founder, Board Member
Recent News
2025-10-30
Grammarly Blog
2025-10-30
2025-10-28
Company data provided by crunchbase