🛠 Tech Stack

💼 About This Role

You'll own the design and implementation of cloud-side autonomy pipelines that directly support and scale Zipline's onboard perception stack. You'll leverage satellite imagery and aerial surveys to build semantic and geometric world models of customer delivery zones. This role offers huge autonomy to define the roadmap for production-grade perception at scale.

🎯 What You'll Do

• Design and implement cloud-side autonomy pipelines for perception
• Build semantic and geometric world models from aerial data
• Train and deploy segmentation, 3D geometry, and preference models
• Integrate offboard perception into fleet-wide autonomy systems

📋 Requirements

• 5+ years building and deploying deep learning-based perception systems
• Strong understanding of 3D geometry and semantic understanding from remote sensing
• Hands-on experience with CNN and transformer architectures in production
• Experience building training and evaluation pipelines for ML models

✨ Nice to Have

• Experience deploying models in autonomous systems or robotics
• Familiarity with data annotation pipelines and distributed training

🎁 Benefits & Perks

• 💰 Equity compensation included
• 🏖️ Overtime pay available
• ⭐ Autonomy to define roadmap and drive architectural decisions
• 🌍 Impact delivering essential goods globally via autonomous drones

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite (Hiring Manager + Team)· 3 hours