💼 About This Role

You'll lead research on action-conditioned world models and physical AI for embodied systems. You'll drive original research with access to large-scale compute and a path to top publications. You'll collaborate with industrial partners and connect with leaders like Fei-Fei Li at Stanford.

🎯 What You'll Do

• Define research directions for world models and embodied AI
• Design novel architectures and training objectives
• Direct research efforts for top journal publication
• Mentor research engineers and collaborate cross-functionally

📋 Requirements

• PhD in ML, CS, or Robotics
• Expertise in generative modeling or world models
• Strong publication record at top venues like NeurIPS
• Experience with large-scale model training

✨ Nice to Have

• Background in embodied AI or robotic manipulation
• Experience with RLHF or DPO

🎁 Benefits & Perks

• 💰 Competitive compensation and equity
• 🏥 Healthcare (Silver PPO Medical, Vision, Dental)
• 🍽️ Lunch and snacks at the office
• 🏦 401k (no match)

📨 Hiring Process

Estimated timeline: 2-4 weeks

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