🛠 Tech Stack

💼 About This Role

You'll own ML infrastructure at Voxel, building the training and deployment systems for computer vision models used in real-time safety and operations across thousands of cameras. You'll architect the stack that enables the applied ML team to ship models weekly to Fortune 500 customers, shaping technical direction for years to come.

🎯 What You'll Do

• Set technical direction for ML infrastructure
• Architect training infrastructure for concurrent experiments
• Own train-to-deploy handoff with optimized inference
• Establish DevOps-for-ML best practices

📋 Requirements

• 7+ years building large-scale software systems
• 3+ years focused on ML infrastructure
• Deep fluency in PyTorch and modern ML training stack
• Strong Python with production code skills

✨ Nice to Have

• AWS production experience for ML workloads
• TensorRT or ONNX model export and optimization
• Ray or similar ML orchestration tools

🎁 Benefits & Perks

• 🏖️ Unlimited PTO and flexible work arrangements
• 🏥 Comprehensive health, dental, vision insurance
• 👶 Paid parental leave
• 🍽️ Daily meals in-office
• 📈 Equity and annual bonus

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Screen· 60 min
3. 3Onsite Interviews· 3-4 hours