🛠 Tech Stack

💼 About This Role

You'll define and lead research in action-conditioned world models and Physical AI. You will drive original research from ideation to publication at top venues, with access to large-scale compute and a direct path to impact.

🎯 What You'll Do

• Define and lead research directions in world models and Physical AI
• Design novel architectures for VLMs, VLAs, and world models
• Direct research efforts targeting publication in top journals
• Partner with industrial collaborators for real-world use cases

📋 Requirements

• PhD in Machine Learning, CS, Robotics or related field
• Deep expertise in generative modeling or world models
• Publication record at NeurIPS, ICML, ICLR, CVPR, CoRL
• Experience with large-scale model training and deep learning infrastructure

✨ Nice to Have

• Background in embodied AI or robotic manipulation
• Experience with RLHF or preference optimization

🎁 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 · AI estimate

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

🚩 Heads Up

• Expects PhD with publications but also experience in large-scale training and RLHF
• Mentions mentorship of research engineers but no team size context