Machine Learning Engineer, Agents

Superhuman 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 Superhuman

Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.

The Opportunites

We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman 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.
• 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.

We invite you to share your knowledge, experience, and goals with us to help us find the best team match