WeRide
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Machine Learning Engineer
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WeRide Continue with Google Continue with Google 1 year ago Be among the first 25 applicants Join to apply for the
Machine Learning Engineer
role at
WeRide Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days.
The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.
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 planSeniority level
Seniority levelNot Applicable Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology IndustriesTechnology, Information and Internet Referrals increase your chances of interviewing at WeRide by 2x Get notified about new Machine Learning Engineer jobs in
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Machine Learning Engineer
role at
WeRide Continue with Google Continue with Google 1 year ago Be among the first 25 applicants Join to apply for the
Machine Learning Engineer
role at
WeRide Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days.
The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.
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 planSeniority level
Seniority levelNot Applicable Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology IndustriesTechnology, Information and Internet Referrals increase your chances of interviewing at WeRide by 2x Get notified about new Machine Learning Engineer jobs in
San Jose, CA . Sunnyvale, CA $141,000 - $202,000 2 weeks ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTubeStaff Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google Ads San Jose, CA $120,700 - $228,600 1 week ago San Jose, CA $120,700 - $228,600 1 week ago Sunnyvale, CA $141,000.00 - $202,000.00 2 weeks ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00 - $165,000.00 8 months ago Data Scientist, Energy Analytics, Google Cloud Sunnyvale, CA $166,000.00 - $244,000.00 1 week ago New Grads 2025 - Software Engineer, Algorithm San Jose, CA $120,000.00 - $165,000.00 9 months ago Palo Alto, CA $150,000.00 - $220,000.00 3 weeks ago Fremont, CA $166,000.00 - $244,000.00 2 weeks ago Data Scientist III, Research, Search Ads Mountain View, CA $141,000.00 - $202,000.00 1 week ago (General Hire) Machine Learning Scientist Graduate - TikTok Recommendation - 2025 Start (PhD) San Jose, CA $145,000.00 - $250,000.00 2 weeks ago Data Scientist III, Research, Search AI Overview Mountain View, CA $141,000.00 - $202,000.00 1 week ago San Jose, CA $120,700.00 - $228,600.00 1 week ago Staff Data Scientist, Research, Search Platforms Mountain View, CA $197,000.00 - $291,000.00 1 week ago Software Engineer III, AI/ML Computer Vision, Core Mountain View, CA $141,000.00 - $202,000.00 19 hours ago San Jose, CA $119,000.00 - $177,000.00 1 day ago San Jose, CA $113,500.00 - $250,000.00 4 days ago Software Engineer, AI Platform - New Grad San Jose, CA $120,700.00 - $301,200.00 1 week ago Sunnyvale, CA $141,000 - $202,000 1 week ago San Jose, CA $113,500 - $250,000 6 days ago San Jose, CA $130,000 - $182,000 10 months ago San Jose, CA $137,500 - $236,500 2 months ago New Grads 2025 - General Software Engineer San Jose, CA $120,000 - $165,000 5 months ago Data Scientist, Product, Play Data Science and Analytics Mountain View, CA $183,000 - $271,000 1 week ago Staff Software Engineer, Adversarial ML, Core Sunnyvale, CA $197,000 - $291,000 1 day ago Cupertino, CA $1,000 - $20,000 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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