Machine Learning Engineer - Simulation Framework

About the role

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Responsibilities

• Develop and optimize our GPU-based simulation framework to support complex machine learning training and validation pipelines.
• Apply reinforcement learning concepts to solve complex behavioral and path planning challenges in simulation environments.
• Identify and resolve "sim-to-sim" and “sim-to-real” fidelity gaps to ensure parity between high-speed ML simulations, high-fidelity 3D environments, and physical vehicle execution.
• Build systems that allow autonomy users to self-serve data generation and accelerate their training iterations.
• Write robust, production-ready code to integrate advanced ML algorithms directly into our core simulation architecture.

Requirements

• PhD or Master’s in computer science, robotics, machine learning, or a related field.
• Deep understanding of reinforcement learning and its application in simulated or robotic environments.
• Hands-on experience developing, training, and fine-tuning deep learning models using modern frameworks (e.g., JAX or PyTorch).
• Strong proficiency in C++ and Python for building and deploying production machine learning systems.
• Experience analyzing and bridging fidelity gaps between synthetic training data and real-world execution.

Qualifications

• Experience with GPU programming (CUDA) or high-performance compute clusters.
• Automotive or autonomous robotics industry experience.
• Strong background in deterministic systems and latency optimization.

Skills

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Knowledge of simulation technologies and tools.
• Experience with data analysis and modeling.
• Ability to work in a fast-paced, agile environment.

Benefits

• Base Salary Range: $151,000 - $257,000 per year
• Amazon Restricted Stock Units (RSUs)
• Zoox Stock Appreciation Rights
• Comprehensive benefits package including health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Pay

• $151,000 - $257,000 per year

Schedule

• Full-time