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Full-Time

Machine Learning Engineer

Posted on 6/21/2024

WeRide

WeRide

201-500 employees

Develops Level 4 autonomous driving solutions

Data & Analytics
Robotics & Automation
Industrial & Manufacturing
AI & Machine Learning
Consumer Goods

Compensation Overview

$150k - $220kAnnually

+ Annual Performance Bonus + Equity

Senior, Expert

San Jose, CA, USA

Category
Applied Machine Learning
Robotics & Autonomous Systems
AI & Machine Learning
Required Skills
Python
Data Structures & Algorithms
Requirements
  • Master’s or PhD in Computer Science, Electrical Engineering, Robotics, or a related field
  • At least 5 years of relevant experience, particularly in autonomous driving, robotics, or related model development fields
  • Proficiency in programming languages such as C++ and Python, with strong capabilities in algorithm design and implementation
  • In-depth understanding and practical experience in path planning, 3D reconstruction, and environmental modeling
  • Familiarity with deep learning, reinforcement learning, and other machine learning techniques, and the ability to apply them to real-world problems
  • Strong foundation in mathematics and statistics, capable of performing complex algorithm analysis and optimization
  • Team-oriented with excellent communication skills, able to work effectively with colleagues from diverse backgrounds
  • Innovative mindset, capable of proactively proposing new solutions and improvements
Responsibilities
  • Multi-Agent Planning: Design and optimize path planning algorithms for road participants to ensure the creation of realistic and logical movement trajectories. This includes modeling interactions between multiple agents to form rich and diverse complex environments.
  • 3D Reconstruction: Develop and improve 3D reconstruction algorithms to create high-precision 3D environmental models from various sensor data sources.
  • World Model: Create and maintain the vehicle's world model by integrating sensor data to enhance the end-to-end simulation capabilities of autonomous driving.
  • Collaboration: Work closely with cross-functional teams including perception, control, and software engineering to drive project progress.
  • Performance Analysis and Optimization: Conduct performance analysis and optimization of algorithms to ensure high efficiency and reliability in real-world applications.
  • Research and Innovation: Keep abreast of the latest research and technological developments in the field, continuously improving and innovating our systems.

WeRide specializes in Level 4 autonomous driving technologies, offering a range of products including Robotaxi, Robobus, Robosweeper, and Robovan, with strategic alliances with leading OEMs and mobility platforms. The company has developed over 20,000,000 kilometers of autonomous mileage and holds driverless test permits in both China and the U.S.

Company Stage

IPO

Total Funding

$1.9B

Headquarters

San Jose, California

Founded

2017

Growth & Insights
Headcount

6 month growth

5%

1 year growth

10%

2 year growth

35%

Benefits

Employee Stock Plan

Competitive Compensation Package

100% Company Paid Premium Medical Plan

Team Building Activities

Paid Vacation And Time-off

Free Hot Breakfast, Lunch And Dinner