Machine Learning Engineer

Posted 2 Days Ago
San Jose, CA
150K-220K Annually
5-7 Years Experience
Automotive • Information Technology • Logistics • Transportation
The Role
The Machine Learning Engineer will develop and optimize algorithms for Multi-Agent Planning, 3D Reconstruction, and World Model tasks in autonomous driving. Responsibilities include designing path planning algorithms, improving 3D reconstruction, collaborating across teams, conducting performance analysis, and staying updated on research.
Summary Generated by Built In

WeRide is a leading, commercial-stage global company that develops autonomous driving technologies from Level 2 to Level 4. It offers an all-rounded product mix of Robotaxi, Robobus, Robosweeper, Robovan and Advanced Driving Solution to provide services. WeRide aims to develop safe and reliable driverless solutions to make our mobility and transportation safer, more affordable, and accessible. 


At WeRide, we are dedicated to developing efficient autonomous driving algorithms and evaluation systems to enhance and optimize our autonomous driving technology. As end-to-end models become increasingly mature, we aim to integrate more model techniques and end-to-end capabilities into the autonomous driving domain. This includes tasks such as path planning, scene generation, and scene reconstruction based on large-scale autonomous driving data.

We are seeking experienced algorithm engineers to join our team. This role will focus on the development and optimization of Multi-Agent Planning, 3D Reconstruction, and World Model tasks. The ideal candidate should have extensive experience in algorithm development within the autonomous driving or related fields, along with strong skills in model design, programming, and innovation.

What you will do:

  • 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.

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.

Plus:

  • Publications in top-tier academic conferences or journals in related fields.
  • Experience with frameworks such as ROS, TensorFlow, or PyTorch.
  • Practical project experience or participation in autonomous driving competitions.

Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $150,000 - $220,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.


WeRide.ai offers competitive salary depending on the experience. Employee benefits include:

Premium Medical, Dental and Vision Plan (No cost from employees or their families)

Free Daily Breakfast, Lunch and Dinner

Paid vacations and holidays

401K plan

Top Skills

C++
Python
The Company
San Jose, CA
501 Employees
On-site Workplace
Year Founded: 2017

What We Do

WeRide is a global leading company that develops Level 4 autonomous driving technologies, bringing smart cities with new products, new business model and new experience.

WeRide has received strategic investments from top-tier global automakers, including Renault-Nissan-Mitsubishi Alliance and Yutong Group. WeRide is the first startup in the world that holds driverless test permits in both China and the US.

Through strategic alliances with car makers, mobility and logistics service platforms, WeRide offers an all-rounded product mix of Robotaxi, Mini Robobus and Robovan to provide multiple services including online ride-hailing, on-demand transport and urban logistics.

WeRide launched China’s first Robotaxi service, completely open to public, in November 2019, in Guangzhou, China, covering an area of 144 square kilometers. WeRide has also conducted commercial pilot operations and fully driverless testing for Mini Robobus and Robovan.

Established in 2017, WeRide is headquartered in Guangzhou, China, and maintains R&D and operation centers in Beijing, Shanghai, Shenzhen, Nanjing, Wuhan, Zhengzhou and Anqing, as well as San Jose in the US. It employs a highly skilled team of over 800 employees around the globe and has extensive domestic and international experience in R&D, business development and operations.

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