🛠 Tech Stack

💼 About This Role

You'll join the Learning From Videos team at Toyota Research Institute to develop foundation models for embodied AI. Your work on multi-modal learning and 4D world models will advance spatio-temporal reasoning and zero-shot generalization. This year-long residency offers deep integration with top researchers and a path to publication.

🎯 What You'll Do

• Develop algorithms for multi-modal and 4D reasoning.
• Handle ingestion of large-scale datasets for training.
• Contribute innovative solutions at ML/computer vision/robotics intersection.
• Collaborate with researchers on real-world task performance.

📋 Requirements

• Bachelor's or Master's degree in CS, EE, Robotics, or related field.
• Strong background in computer vision and applications to robotics.
• Demonstrated research experience through publications or projects.
• Passion for assisting older adults and those in need.

✨ Nice to Have

• Spatio-temporal (4D) computer vision experience.
• Large-scale multi-modal training expertise.
• ML/vision for embodied applications.

🎁 Benefits & Perks

• 🧪 Research-focused position with publication opportunities.
• 🤝 Collaboration with world-class researchers.
• 🚀 High-risk, high-impact projects.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical phone screen· 60 min
3. 3On-site interviews· 4 hours