🛠 Tech Stack

💼 About This Role

You'll work closely with FieldAI researchers and engineers to explore novel approaches to robot learning and autonomy, focusing on scalable methods that generalize across tasks and embodiments. You'll design experiments, develop learning pipelines, and validate ideas on real robotic platforms, contributing directly to FieldAI's deployed autonomy stack. This internship offers the chance to publish findings at top robotics conferences.

🎯 What You'll Do

• Develop multi-modal data collection platform for day/night robot navigation
• Collect high-quality datasets for reproducible research and evaluation
• Summarize and publish learnings in top robot research venues
• Design and run experiments on real robotic platforms

📋 Requirements

• Current PhD student in Robotics, CS, AI, ML, or related field
• Research experience in robot learning, RL, or imitation learning
• Strong foundation in machine learning fundamentals and experimental methodology
• Ability to work independently and collaborate effectively

✨ Nice to Have

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

🎁 Benefits & Perks

• 🔬 Hands-on work with real robotic platforms
• 📝 Publication opportunities at top robotics conferences
• 🏢 Onsite collaboration with leading researchers

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min