Principal Machine Learning Engineer- Perception
MotionalSalary not specified
- Full Time
- Junior (1 to 2 years)
Zoox
Senior/Staff Systems Engineer, Perception System Verification and Validation
$150,000 – $220,000Compensation
Senior (5 to 8 years), Mid-level (3 to 4 years)Experience Level
InternshipJob Type
UnknownVisa
Automotive Software, Robotics, Computer VisionIndustries
Requirements
Candidates should possess a Bachelor’s degree or higher in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, Systems Engineering, Computer Science, or a related field, and have at least 7 years of industry experience working on complex systems featuring perceptive components such as cameras, radar, and LiDAR. They must demonstrate experience with integration and verification testing of Machine Learning components, including classifiers, detectors, regression models, and encoder/decoders. Proficiency in basic statistics and probability, along with experience with test scripting and data analysis languages like Python and SQL, is required.
Responsibilities
The Senior/Staff Systems Engineer will measure the safety performance of driving software perception algorithms and their impact on downstream behavior across various conditions, including nominal, adverse weather, and corner cases. They will leverage fleet data, structured test track evaluations, log replay simulations, and novel synthetic simulations to contribute to the Zoox Safety Case. This role involves developing new V&V methodologies, managing a small team of engineers, collaborating with cross-functional teams (hardware, perception, simulation, compute infrastructure, and operations), performing test data analysis, reporting test results, maintaining traceability between requirements, test cases, and results, and defining automated data extraction tools to streamline analysis and reporting.
Skills
Python
SQL
Machine Learning
Classifiers
Detectors
Regression Models
Encoder/Decoders
Test Scripting
Data Analysis
Statistics
Probability
V&V
Traceability
Simulation
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.
Menlo Park, CaliforniaHeadquarters
2014Year Founded
$1,206.2MTotal Funding
ACQUISITIONCompany Stage
Automotive & Transportation, Energy, AI & Machine LearningIndustries
1,001-5,000Employees