🛠 Tech Stack

💼 About This Role

You'll design and build end-to-end machine learning solutions for a multi-sided marketplace. You'll work on problems at the intersection of economics and ML, from aligning incentives to analyzing behavioral nudges. This role offers ownership of high-impact projects and collaboration with cross-functional teams.

🎯 What You'll Do

• Design and build end-to-end machine learning solutions
• Work in small cross-functional product teams
• Develop high-impact solutions for growth
• Own the process from problem understanding to solution testing

📋 Requirements

• Current or recently graduated PhD student in economics or related field
• Expertise in causal inference with observational and experimental data
• Expertise in Python or R and data manipulation tools (SQL, Pandas)
• Expertise in machine learning tools (scikit-learn, XGBoost, Keras/Tensorflow)

✨ Nice to Have

• Experience in computationally intensive empirical topics
• Exposure to machine learning coursework and applications
• Background in marketing, finance, or operations research

🎁 Benefits & Perks

• 💰 Competitive compensation based on location
• 🏠 Flex First remote work policy
• 🏥 Benefits offerings (detailed in link)

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Team Interview· 45 min