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Machine Learning Engineer, AI Agent Platform
Machine Learning Engineer, AI Agent PlatformGrammarly • San Francisco, CA, United States
Machine Learning Engineer, AI Agent Platform

Machine Learning Engineer, AI Agent Platform

Grammarly • San Francisco, CA, United States
7 days ago
Job type
  • Full-time
Job description

Machine Learning Engineer, AI Agent Platform

Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds : plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

About Grammarly

Grammarly is the trusted AI assistant for communication and productivity, helping over 40 million people and 50,000 organizations do their best work. Companies like Atlassian, Databricks, and Zoom rely on Grammarly to brainstorm, compose, and enhance communication that moves work forward. Grammarly works where you work, integrating seamlessly with over 500,000 applications and websites. Founded in 2009, Grammarly is No. 7 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Grammarly’s ubiquitous UI. As a Machine Learning Engineer on this team, you will be at the heart of our company's transformation.

  • 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.

Qualifications

  • 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.
  • 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.
  • We invite you to share your knowledge, experience, and goals with us to help us find the best team match for you. Tell us your superpower!

    Compensation and Benefits

    Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more :

  • 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
  • Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

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

    We encourage you to apply

    At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

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