🛠 Tech Stack

💼 About This Role

You'll design and build production-grade ML systems that power demand intelligence for Fortune 500 retailers. You'll own the full ML lifecycle from problem framing to deployment, with direct impact on enterprise revenue. Join a small, talent-dense team with top-tier investors behind us.

🎯 What You'll Do

• Design and deploy ML models for recommendation, forecasting, and segmentation
• Build multi-tenant, configurable model architectures that generalize across customers
• Engineer production pipelines for model serving, monitoring, and retraining
• Conduct rigorous A/B tests and causal inference analyses

📋 Requirements

• 8+ years in applied ML or data science
• Deep experience with recommendation systems or demand forecasting
• Strong programming skills in Python and ML frameworks like PyTorch
• Proven track record deploying models to production at scale

✨ Nice to Have

• Experience with multi-tenant ML architectures
• Knowledge of causal inference methods
• Domain expertise in B2C or retail

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Comprehensive health insurance
• 📈 Equity options
• 💻 Remote-friendly environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3System design interview· 60 min
4. 4Onsite (founder + team)· 3 hours