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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