Machine Learning Engineer

Posted 7 Days Ago
San Jose, CA
120K-165K Annually
3-5 Years Experience
Automotive • Information Technology • Logistics • Transportation
The Role
As a Machine Learning Engineer at WeRide, you will work on developing and enhancing predictive modeling and anomaly detection within autonomous driving technologies. Collaborating with a team, you will implement active learning strategies and distributed learning algorithms to tackle complex problems and advance mobility solutions.
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. 


WeRide.ai is looking for a machine learning engineer for the prediction team. In this impactful role, you will collaborate with a best-in-class team of engineers to tackle hard problems and help advance mobility solutions to improve everyday lives.

What you will do:

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

Requirements:

  • 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 

Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 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++
Matlab
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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