Machine Learning Engineer - Singapore

Posted 2 Days Ago
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One North Place, LA
Mid level
Automotive • Information Technology • Logistics • Transportation
The Role
As a Machine Learning Engineer at WeRide, you will solve challenging AI and robotics problems, working on projects like active learning, anomaly detection, and predictive modeling. You will utilize your expertise in machine learning and programming to advance mobility solutions.
Summary Generated by Built In

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.

 

WeRide (Singapore) is looking for world class coders to work on transforming mobility by solving some of the most challenging AI and robotics problems. You will work with world-class experts in the field of mobility solutions and advance the state of the art in areas such as computer vision, sensor fusion, machine learning, object tracking, and motion planning.

What you will do:

  • Active learning and Bayesian optimization 
  • Anomaly detection 
  • Deep networks 
  • Distributed/parallel learning algorithms 
  • Learning control 
  • Predictive modeling 

Requirements:

  • BS/MS/PhD in Electrical Engineering, Computer Science/Engineering or a related field. 
  • 3 or more years of relevant work or lab experience in Machine Learning, Deep Learning or High-Performance Computing 
  • Excellent knowledge of theory and practice of machine learning. 
  • Excellent programming skills in some rapid prototyping environment such as MATLAB or Python; C++ and parallel programming (e.g., CUDA) is a plus. 
  • Knowledge of common machine learning frameworks. 
  • Track record of research excellence or significant product development. 
  • Knowledge of application areas such as computer vision or robotics 

Plus:

  • Strong understanding of recent advancements in machine learning research 

WeRide (Singapore) offers competitive salary and excellent employee benefits. Our office is located in the One-north area, a 5min walk from the one-north MRT station. If interested, please send your resume/CV to alex.mah@weride.ai.

 

More about WeRide:

 

Website: https://www.weride.ai/

 

Youtube: https://www.youtube.com/@WeRideAI

 

LinkedIn: https://www.linkedin.com/company/werideai

 

Twitter: https://twitter.com/weride_ai

Top Skills

C++
Python
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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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