Founding Data Scientist / Machine Learning Engineer

About the role

You've unlocked major wins in your career - you've shipped models, moved key metrics, and proved what great data science and machine learning can do. You've bent the curve for products used by millions of people. Now, picture the idea of leveling up the entire app ecosystem by scaling your impact across many products and companies so every app in your pocket becomes smarter, more engaging, and more essential to the people who rely on it. You can help product teams iterate faster, delight users, and grow revenue, all because of the intelligence you build once and deploy everywhere. We know this ambition: we've done this again and again at places like Uber, Apple, Meta, Google, and Chime. We've had tens of billions of dollars of impact for products essential to billions of people, and we're ready to scale our impact to the next level.

Responsibilities

• Build and ship ML and AI models to detect and surface product opportunities
• Develop learning loops that improve themselves with every release
• Extend core systems in behavioral modeling, causal inference, forecasting, and more
• Turn first-principles data science into a product that scales across industries

Requirements

• 6+ years in production ML/DS
• Balance scientific rigor with pragmatic pragmatism
• Zero-to-one mindset
• Customer-obsessed
• Beginner's Mind

Qualifications

• Experience shaping the design, data, and systems behind iconic products
• Founders and early customers
• Direct involvement in defining fundamental approaches to product intelligence
• Quickly seeing ideas in production and affecting real decisions for products used by millions

Skills

• Data Science
• Machine Learning
• Product Management
• Behavioral Modeling
• Causal Inference
• Forecasting
• Agentic Platforms

Benefits

• Backed by top-tier investors
• Opportunity to shape the future of product intelligence
• Direct impact on real decisions for products used by millions
• Clarity, craft, and impact-driven company culture

Pay

We offer competitive compensation packages tailored to individual performance and experience.

Schedule

We offer flexible working hours to accommodate different lifestyles and preferences.