Machine Learning Engineer, 3D Simulation
Description For Machine Learning Engineer, 3D Simulation
Zoox, a pioneering company in autonomous vehicle technology, is seeking a Machine Learning Engineer for their 3D Simulation group. This role sits at the intersection of cutting-edge ML research and practical implementation in autonomous vehicle simulation. The position offers an opportunity to work with world-class sensor data and infrastructure, focusing on generating diverse 3D environments, human simulations, and environmental conditions.
The role combines advanced machine learning techniques with 3D vision technology to enhance simulation fidelity and diversity. You'll be working with state-of-the-art technologies including CNNs, Diffusion, and NeRF, while collaborating with ML Researchers, Technical Artists, and Simulation engineers. The position requires strong programming skills in both C++ and Python, along with a deep understanding of 3D vision techniques and probabilistic methods.
Zoox offers a competitive compensation package including a salary range of $134,000 to $222,000, Amazon RSUs, and Zoox Stock Appreciation Rights. The company provides comprehensive benefits including various insurance options and paid time off. Located in Seattle, WA, this hybrid position offers the flexibility of combined remote and office work.
This is an excellent opportunity for someone passionate about autonomous vehicles, machine learning, and 3D simulation who wants to contribute to groundbreaking technology. The role offers exposure to cutting-edge research and development in autonomous vehicle technology, with the backing of a company committed to revolutionizing urban mobility.
Responsibilities For Machine Learning Engineer, 3D Simulation
- Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity
- Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to production simulator
- Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation
- Improve rendering and tooling for generating realistic data at scale
Requirements For Machine Learning Engineer, 3D Simulation
- 3+ years of experience with programming and algorithm design
- Fluency in C++ and Python
- Experience with modern 3D vision techniques like 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
Benefits For Machine Learning Engineer, 3D Simulation
- Paid time off (sick leave, vacation, bereavement)
- Unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
