🛠 Tech Stack

💼 About This Role

You'll build, scale, and operate production-grade machine learning systems for a high-growth SaaS platform. You'll take models from experimentation to real-world impact, supporting real-time decisioning and predictive analytics at scale. This role offers a chance to own ML solutions in a multi-tenant SaaS environment.

🎯 What You'll Do

• Train and optimize neural networks to predict eCommerce events
• Design and deploy low-latency models for real-time inference
• Build and operate ML models handling 1,000+ RPS
• Deliver ML solutions that are reliable, observable, and performant

📋 Requirements

• 4+ years building machine learning models with neural networks
• Strong proficiency in Python for production-grade code
• Experience deploying neural network models in production
• Hands-on experience with PyTorch or TensorFlow

✨ Nice to Have

• Experience building web services with Flask or FastAPI
• Comfortable with Linux and shell scripting
• Experience in multi-tenant SaaS environments

🎁 Benefits & Perks

• 🏖️ Remote-first work culture
• 💰 Equity opportunities
• 🩺 Health insurance coverage
• 📈 Professional development budget

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 1 hour
3. 3Onsite/VC· 2 hours