🛠 Tech Stack

💼 About This Role

You'll be the technical bridge between Data Science and Backend Engineering, turning ML models into scalable production systems. You'll design infrastructure for live model serving and drive best practices across squads. This role offers high impact in a fast-paced e-commerce environment.

🎯 What You'll Do

• Design and build scalable infrastructure for live ML model serving
• Translate Data Science needs into scalable engineering solutions
• Define best practices for model serving, APIs, and system design
• Lead cross-squad technical initiatives from architecture to implementation

📋 Requirements

• 7+ years of backend engineering experience
• Proven experience building ML model serving systems in production
• Deep understanding of distributed systems and microservices
• Strong track record working across team boundaries on cross-functional projects

✨ Nice to Have

• Experience with ML frameworks and serving tools
• Familiarity with feature stores, model registries, or MLOps tooling
• Background in e-commerce, subscription, or personalization domains

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 💰 Competitive salary & equity
• 🏥 Health, dental, vision insurance
• 🍽️ Free HelloFresh meals
• 📚 Learning & development stipend

📨 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