Machine Learning Engineer, Agents

Grammarly • Full-time • Hybrid in San Francisco, California, United States • $250,000 - $385,000 / year • 1m ago

Fast Facts

Superhuman is seeking a Machine Learning Engineer to lead the development of a groundbreaking AI Agent platform, enhancing productivity with innovative ML systems and collaborative solutions.

Responsibilities: Key responsibilities include developing and deploying ML models, integrating cutting-edge AI technologies, and ensuring safe document sharing within collaborative environments.

Skills: Candidates should have a deep understanding of ML, NLP, and LLMs, along with strong experience in building LLM-based products.

Qualifications: Preferred qualifications include an MS or PhD in Computer Science and 5+ years of relevant industry experience.

Location: Hybrid - San Francisco, with flexibility for remote work.

Compensation: $250000 - $385000 / Annually

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.

We are also hiring across our Responsible AI and Anti-Abuse teams. As a Machine Learning Engineer on this team, you will be at the forefront of developing advanced ML systems to protect our users.

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.

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 for you. Tell us your superpower!

Compensation and Benefits

Superhuman 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

Superhuman 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 Superhuman, 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. Superhuman 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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