🛠 Tech Stack

💼 About This Role

You'll architect ML systems that power data discovery for autonomous vehicles, using multimodal sensor data to find critical edge cases. Your work directly improves our self-driving stack's safety and performance at scale.

🎯 What You'll Do

• Define multi-quarter technical roadmaps for ML systems
• Design scalable frameworks for massive data mining and inference
• Lead cross-functional projects across teams
• Establish department-wide standards for ML system design and deployment

📋 Requirements

• BS in CS or related field (or equivalent)
• 8+ years hands-on ML engineering experience
• Experience with multimodal foundation models in production
• Expert-level Python and ML frameworks (PyTorch, TensorFlow, JAX)

✨ Nice to Have

• MS/PhD in CS or ML
• Background in autonomous driving or robotics
• Experience with active learning and contrastive learning

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Medical, dental, vision
• 💰 401k with company match
• 🐾 Pet insurance
• 📈 Equity compensation

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Interview· 60 min
3. 3Onsite Technical Interviews· 4-5 hours
4. 4Leadership Round· 45 min