🛠 Tech Stack

💼 About This Role

You'll work at the intersection of machine learning, simulation, and robotics to build next-generation AI for autonomous driving. Your core impact will be developing world models and reinforcement learning systems that push the boundaries of embodied AI. This role offers the chance to contribute to multi-year breakthroughs with a high-conviction research team.

🎯 What You'll Do

• Develop world models using diffusion-based or autoregressive approaches
• Advance reinforcement learning and reward modeling frameworks
• Build geometric foundation models for 3D spatial understanding
• Conduct empirical research on scaling laws and sim-to-real transfer

📋 Requirements

• 3+ years developing ML systems in production settings
• PhD or equivalent in Machine Learning, Computer Vision, or Robotics
• Deep expertise in foundation models, world modeling, or reinforcement learning
• Track record of publications at top-tier conferences (NeurIPS, ICML, CVPR)

✨ Nice to Have

• Experience in autonomous driving, robotics, or simulation systems
• Familiarity with large-scale training (FSDP, DeepSpeed, JAX)
• Contributions to open-source ML tools or research infrastructure

🎁 Benefits & Perks

• 💵 Salary and equity attractive compensation package
• 🧘 Daily yoga and onsite chef
• 🏖️ Flexible working hours
• 🚀 Relocation support with visa sponsorship
• 👶 Enhanced parental leave

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interview· 4 hours