Zoox ML Engineering Jobs
Open ml engineering roles at Zoox, pulled live from their hiring system.
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ML Engineering roles at Zoox roles cluster around $229k, with most listings between $189k and $242k. 88% of open ml engineering roles call out Python; PyTorch and C++ appear in roughly a third. Most of these ml engineering roles are on-site or hybrid; 0% are fully remote.
Machine Learning Engineer - Semantic Reasoning
As a Machine Learning Engineer on the Scene Understanding Semantic Reasoning team, you will design, train, and deploy deep learning models for autonomous vehicles, focusing on high-speed highway environments. This role involves cross-functional collaboration, optimization for real-time inference, and resolving perception-related edge cases.
Senior/Staff Software Engineer - Perception & Sensing
Develops and validates multi-sensor fusion models for perception in autonomous vehicles, focusing on sensor performance in adverse weather. Executes metrics pipelines, A/B tests, and collaborates on hardware-software integration using C++ and Python.
Senior / Staff Machine Learning Engineer - Perception Attributes
Develops and maintains behavioral models for road users (vehicles, pedestrians, cyclists) in autonomous driving perception stack. Requires MS/PhD, 7+ years experience, deep learning expertise, Python fluency, and production ML pipelines.
Principal Software Engineer, Perception Architect
Designs end-to-end perception architecture for autonomous systems, bridging sensing and ML teams. Leads hardware-software co-design, AI pipeline evolution, and cross-functional teams. Requires 8+ years in autonomy, PhD/MS in CS/Robotics, expertise in CV and sensors.
Part Time Student Worker – Performance Optimization & Agentic Systems
Part-time student worker designs and executes performance optimization experiments on NVIDIA CPU/GPU platforms, develops LLM-based agents for optimization, and ensures reproducible results with meticulous profiling. Requires strong math foundation, hardware knowledge, and current enrollment in BS/MS engineering program.
AI Inference Engineer - Model Optimization & Deployment
Optimizes and deploys large-scale AI models (LLMs, VLMs) for real-time inference on power-constrained vehicle hardware. Requires expertise in quantization, TensorRT compilation, custom CUDA kernels, and production C++/Python for edge devices.
Senior Machine Learning Engineer - Scene Understanding
Develops advanced Vision-Language-Action models for robotaxi scene understanding, detecting hazards and enabling safe driving. Leads data strategies, post-training of large models, and deployment using PyTorch and production ML pipelines. Requires MS/PhD in CS and deep learning expertise.
Staff Machine Learning Engineer - Mapping
Lead development of ML models and algorithms for HD 3D mapping in autonomous driving. Requires 5+ years experience, MS/PhD in CS, expertise in computer vision, deep learning, Python/C++, and cross-functional leadership.
Senior Machine Learning Engineer - Simulation Scenario Generation
Develop ML models for generating realistic autonomous vehicle simulation scenarios, integrating LLMs/VLMs and agentic AI for safety validation. Requires 5+ years ML experience, MS/PhD, and proficiency in PyTorch, transformers, diffusion models.
Machine Learning Engineer - Perception Offline Driving Intelligence
Develop and fine-tune multimodal large language models for offline analysis to improve robotaxi environmental understanding and safety. Collaborate across teams to integrate solutions into production autonomous systems.
Senior/Staff Machine Learning Engineer - Perception Offline Driving Intelligence
Develop and deploy multimodal large language models using Zoox's vast sensor data to improve robotaxi perception and safety. Collaborate across teams to integrate solutions into production autonomous systems.
Senior Machine Learning Engineer - ML Agents and Planning
Develops ML models using imitation and reinforcement learning for agent behavior prediction and autonomous vehicle planning. Requires PhD +1 year or MSc +5 years experience, expertise in RL, transformers, and production ML pipelines.
Senior Machine Learning Engineer - Perception Mapping
Design, train, and integrate ML models for semantic map element detection in autonomous vehicles. Requires 5+ years experience, MS/PhD in CS, expertise in computer vision, deep learning, and PyTorch.
Senior/Staff Machine Learning Engineer - Offline Driving Intelligence
Leads ML initiatives to enhance validation processes using large-scale fleet and synthetic data for autonomous vehicle safety. Requires PhD or 5+ years ML experience, Python/PyTorch expertise, and AV domain knowledge.
Machine Learning Engineer, Simulation Scenario Generation
Develops ML models and workflows for generating simulation scenarios in autonomous vehicle testing, integrating LLMs/VLMs, collecting data for fine-tuning, and collaborating with teams to enhance safety validation. Requires MS/PhD, 2+ years ML experience, and Python/PyTorch proficiency.
Machine Learning Engineer - Perception
Develops and trains generative AI models for sensor-level scenario generation using world models and radiance fields to enhance Zoox's autonomous vehicle perception stack. Requires MS/PhD, 5+ years experience, Python/C++, deep learning, and multi-sensor fusion expertise.
Machine Learning Engineer - MLA Perception Offline Driving Intelligence
Develop and fine-tune multimodal large language models for offline analysis to enhance robotaxi environmental understanding and integrate into production for safe autonomous navigation. Requires MS/PhD in CS/ML, experience with LLMs, PyTorch, and large-scale data training.
Senior/Staff Machine Learning Engineer - Perception Offline Driving Intelligence
Develop and fine-tune multimodal large language models for offline analysis to enhance robotaxi environmental understanding and safety. Drive end-to-end ML solutions from research to production using large-scale datasets and integrate with onboard systems. Requires MS/PhD and LLM experience.
Senior Machine Learning Engineer - Perception
Develops cutting-edge perception models using fused sensor data for autonomous vehicles, focusing on joint detection/tracking and embeddings for downstream systems. Requires MS/PhD in CS, PyTorch experience, and production deployment skills.
Machine Learning Engineer - 3D Sensor Simulation
Develops and optimizes ML-driven 3D sensor simulations (cameras, lidar, radar) using GenAI and graphics techniques to generate realistic synthetic data for AV testing. Requires 2+ years experience with neural rendering (NeRFs, Gaussian Splatting), PyTorch/TensorFlow, Python/C++, and 3D math.
Senior AI Developer Productivity Engineer
Develops LLM-powered tools to boost developer productivity 10x, including code assistance, automated reviews, and task automation for autonomy software. Requires 7+ years experience as full-stack/backend developer fluent in Python or C++ with LLM optimization knowledge.