Principal Machine Learning Engineer - Team Lead - Behaviors (Predicti…
MotionalSalary not specified
- Full Time
- Senior (5 to 8 years)
$296,000 – $451,000Compensation
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. They must have experience with training and deploying Deep Learning models, as well as with production Machine Learning pipelines including dataset creation and training frameworks. Fluency in C++ or fluency in Python with a basic understanding of C++ is required, along with extensive experience in programming and algorithm design. Strong mathematics skills are necessary, and candidates should have at least 10 years of experience. Bonus qualifications include conference or journal publications in Machine Learning or Robotics and prior experience with Prediction and/or autonomous vehicles or robotics in general.
Responsibilities
The Principal ML Engineer will develop new algorithms to model the future behavior of vehicles, predicting driving trajectories and estimating their quality in relation to safety, progress, and comfort. They will build foundational models for on-vehicle and offline applications, and develop algorithms that apply generative deep learning to simulation for improved realism in 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 Perception, Planning, and Simulation to address the overall Autonomous Driving problem in complex urban environments.
Skills
C++
Python
Deep Learning
Machine Learning
Algorithm Design
Data Pipelines
Training Models
Production ML
Mathematics
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