🛠 Tech Stack

💼 About This Role

You'll define the roadmap and architecture for ML-powered data mining systems that discover critical edge cases from petabytes of multimodal sensor data. Your work will directly impact the autonomous driving stack by enabling rare scenario detection and model improvement. You'll lead multi-quarter, cross-functional initiatives as a technical authority across the engineering organization.

🎯 What You'll Do

• Define multi-quarter technical roadmaps for core ML systems
• Architect scalable frameworks for massive data mining and real-time inference
• Drive cross-functional execution with partner teams like Autonomy
• Establish department-wide standards for ML system design and deployment

📋 Requirements

• 8+ years of hands-on ML engineering experience
• BS in Computer Science or related field (or equivalent experience)
• Experience with multimodal foundation models in production
• Expert-level proficiency in Python and PyTorch/TensorFlow/JAX

✨ Nice to Have

• MS/PhD in Computer Science or Machine Learning
• Background in autonomous driving or robotics
• Experience with active learning loops and representation learning

🎁 Benefits & Perks

• 🏥 Medical, dental, vision insurance
• 💰 401k with company match
• 🏖️ Flexible hybrid schedule
• 🐾 Pet insurance

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical phone interview· 60 min
3. 3On-site interviews (4-5 sessions)· 4 hours