15h ago
Research Engineer - Causal AI
San Francisco HQ
$200k-$250k / year
full-timeseniorai-ml
🛠 Tech Stack
💼 About This Role
You'll design novel approaches to marketing measurement and implement them as production-quality systems. You'll work directly with Fortune 100 customers to ensure statistical rigor at enterprise scale. This role combines deep mathematical problem-solving with real-world impact.
🎯 What You'll Do
- Design and implement novel marketing measurement algorithms
- Build production systems for causal inference at scale
- Collaborate with customers on measurement challenges
- Create tools and libraries for advanced analytics
📋 Requirements
- 5+ years shipping research code in production
- Strong statistics, probability, optimization, causal inference background
- Proficient in Python for production-quality code
- Practical causal inference experience on real problems
✨ Nice to Have
- Published applied research or technical writing
- Experience in consulting or customer-facing roles
- Background in operations research or decision sciences
🎁 Benefits & Perks
- 🚀 Early-stage equity with experienced leadership
- 💻 NVIDIA DGX clusters and cutting-edge AI infrastructure
- 🏢 Onsite in San Francisco HQ
- 💰 Competitive salary $200K-$250K
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