🛠 Tech Stack

💼 About This Role

You'll define technical strategy and architect ML systems for a next-gen autonomous driving stack. Your work powers data discovery and model improvement lifecycles, directly impacting how the fleet learns from petabytes of multimodal sensor data. You'll operate as a broad ML generalist, applying deep learning, representation learning, and active learning to solve complex problems.

🎯 What You'll Do

• Develop and execute multi-quarter technical roadmaps for core ML systems.
• Design scalable frameworks for massive data mining and real-time inference.
• Lead multi-person projects across teams and influence partner roadmaps.
• Establish department-wide standards for ML system design and code quality.

📋 Requirements

• 8+ years of hands-on ML engineering experience with large-scale systems.
• Experience with multimodal foundation models in production.
• Expert-level proficiency in Python and PyTorch, TensorFlow, or JAX.
• Proven technical leadership defining multi-quarter roadmaps and driving strategy.

✨ Nice to Have

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

🎁 Benefits & Perks

• 💰 Competitive compensation with bonus and equity.
• 🏥 Medical, dental, and vision insurance.
• 🏦 401k with company match and health savings accounts.
• 🐶 Pet insurance and life insurance.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical phone screen· 60 min
3. 3Onsite interviews (4-5 rounds)· 3-4 hours