Principal Machine Learning Engineer - Team Lead - Behaviors (Predicti…
MotionalSalary not specified
- Full Time
- Senior (5 to 8 years)
Zoox
Senior/Staff Software Engineer - Learned Trajectory Machine Learning Engineer
$230,000 – $332,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Robotics & AutomationIndustries
Requirements
Candidates should have a BS, MS, or PhD degree in computer science or a related field. Experience with training and deploying transformer-based model architectures and reinforcement learning is required, along with experience in production machine learning pipelines, including dataset creation and training frameworks. Fluency in C++ or fluency in Python with a basic understanding of C++ is essential. Candidates should also have extensive experience with programming and algorithm design and strong mathematics skills. Bonus qualifications include conference or journal publications in machine learning or robotics and prior experience with prediction and/or autonomous vehicles or robotics.
Responsibilities
As a Learned Trajectory Machine Learning Engineer, you will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for autonomous vehicles. You will work on techniques to estimate the quality of those driving plans along dimensions of safety, progress, and comfort. You will leverage large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field. Additionally, you will develop metrics and tools to analyze errors and understand improvements of systems and collaborate with engineers on perception, planning, and simulation to solve the overall autonomous driving problem in complex urban environments.
Skills
Transformer-based model architectures
Reinforcement learning
C++
Python
Machine Learning Pipelines
Dataset creation
Training frameworks
Metrics pipelines
Algorithm design
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