Machine Learning Engineer for 3D Simulation Enhancement
3 weeks ago
About the Role: We're seeking a talented Machine Learning Engineer to join our team and leverage cutting-edge research in 3D vision to enhance simulation diversity.
Key Responsibilities:
- Develop and optimize state-of-the-art machine learning approaches to improve simulation variation and fidelity.
- Collaborate with researchers, technical artists, and simulation engineers to integrate new ML techniques into our production simulator.
- Create scalable cloud pipelines for machine learning solutions in 3D simulation.
Requirements:
- Minimum 3 years of experience in programming and algorithm design.
- Proficiency in C++ and Python.
- Experience with modern 3D vision techniques such as CNNs, Diffusion, and NeRF.
- Publications or production experience in human-centric 3D vision, reconstruction, or style transfer.
- Strong mathematical skills and understanding of probabilistic techniques.
Bonus Requirements:
- Bachelor's, Master's, or PhD in computer science, mathematics, physics, or related field.
- Publications in your field (CVPR, ICCV, RSS, ICRA preferred).
- Experience with generative models for 3D content.
- Experience automating 3D content pipelines using applications like Houdini, Maya, or Blender.
- Experience in distributed systems and cloud computing platforms.
- Experience in 3D rendering for simulation, games, or VFX.
Compensation Package:
We offer a comprehensive compensation package, including a salary ranging from $141,000 to $234,000, Amazon RSUs, and Zoox Stock Appreciation Rights. A sign-on bonus may be part of the package, varying based on geographic location, job-related knowledge, skills, and experience.
Our benefits include paid time off, unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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