Principal Machine Learning Engineer- Perception
MotionalSalary not specified
- Full Time
- Junior (1 to 2 years)
$296,000 – $451,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Robotics & AutomationIndustries
Requirements
Candidates should possess a BS, MS, or PhD degree in computer science or a related field. Experience with training and deploying deep learning models on sensor data is essential, along with familiarity with production machine learning pipelines including dataset creation and training frameworks. Strong mathematical skills and a solid understanding of probabilistic techniques are required. Fluency in C++ or fluency in Python with a basic understanding of C++ is necessary, along with extensive experience in programming and algorithm design. Publications in relevant fields and experience with autonomous robots, realtime sensor fusion, novel pipelines for convolutional neural networks, and 3D data representations are considered bonus qualifications.
Responsibilities
The Principal Machine Learning Engineer will develop new algorithms to understand the scene around the robot and how that scene evolves over time. They will build multi-modal foundation models for both on-vehicle and offline applications, and create algorithms that apply generative AI to improve the realism of offline validation systems. The role involves leveraging large-scale machine learning infrastructure to discover new solutions, providing technical mentorship to ML developers at Zoox, and collaborating with engineers on Prediction, Planning, and Simulation to address the overall autonomous driving challenges in complex urban environments.
Skills
C++
Python
Deep Learning
Computer Vision
Machine Learning Pipelines
Algorithm Design
Segmentation
Tracking
Classification
Scene Understanding
Probabilistic Techniques
Zoox
Develops autonomous electric ride-hailing vehicles
About Zoox
Zoox focuses on creating a fully integrated autonomous ride-hailing service designed specifically for urban transportation. Unlike other companies that modify existing vehicles for self-driving capabilities, Zoox has engineered its own vehicle from the ground up, optimizing it for safety, efficiency, and passenger comfort. The vehicle features advanced sensors, cameras, and AI systems that allow it to navigate complex city environments. It can carry up to four passengers in a spacious interior, ensuring a pleasant ride experience. Safety is paramount, with rigorous testing and collaboration with regulatory bodies to meet high standards. Additionally, Zoox's vehicles are fully electric, promoting sustainability by reducing emissions. The company also develops a user-friendly ride-hailing platform that uses data analytics to improve routing and reduce wait times. Zoox aims to enhance urban mobility while prioritizing safety and environmental responsibility.
Key Metrics
Menlo Park, CaliforniaHeadquarters
2014Year Founded
$1,206.2MTotal Funding
ACQUISITIONCompany Stage
Automotive & Transportation, Energy, AI & Machine LearningIndustries
1,001-5,000Employees