🛠 Tech Stack

💼 About This Role

You'll conduct research on robot learning for embodied intelligence and real-world deployment. You'll design experiments and validate ideas on real robotic platforms, contributing directly to Field AI's deployed autonomy stack.

🎯 What You'll Do

• Develop multi-modal data collection platforms for robot navigation
• Collect high-quality datasets for reproducible research
• Summarize and publish findings in top-tier robotics venues

📋 Requirements

• Current PhD student in Robotics, CS, AI, or ML
• Research experience in robot learning or related areas
• Strong foundation in machine learning fundamentals

✨ Nice to Have

• Prior experience with real robot platforms
• Familiarity with ROS or ROS 2
• Experience with large-scale distributed training

🎁 Benefits & Perks

• 💵 Competitive hourly pay ($50-$53/hr)

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Research Presentation· 45 min