Machine Learning Engineer, Fraud & Abuse

Superhuman • San Francisco, CA

6d • Hybrid

About The Position

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 Opportunity
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.
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.
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!

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.
• 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.

Responsibilities

• 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.
• 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.
• Develop, deploy, and maintain critical systems for monitoring documents, interactions, and sharing patterns, providing proactive interventions to keep collaborative workspaces safe.
• 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.
• Move swiftly from concept to deployment, building solutions that enable safe document sharing and support Superhuman’s global user base.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level