WeRide logo

Machine Learning Engineer - Singapore

WeRide

Karanpur, Rajasthan, IndiaFull-timeNo compensation foundPosted 2mo agoVerified open 3 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

At a glance

Compensation
No compensation found
Location
Karanpur, Rajasthan, India
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Doctorate

Job overview

WeRide is hiring a Machine Learning Engineer - Singapore. WeRide (Singapore) is seeking world-class coders to transform mobility by solving challenging AI and robotics problems. The role involves working with experts to advance the state of the art in areas such as computer vision, sensor fusion, machine learning, object tracking, and motion planning.

Key focus areas include Active learning and Bayesian optimization, Anomaly detection, and Deep networks.

Successful candidates bring BS/MS/PhD in EE/CS and 3+ Years Machine Learning Experience. Important skills include Machine Learning Theory, Machine Learning Practice, MATLAB, Python, Common Machine Learning Frameworks, and Computer Vision. Preferred (not required): Active Learning, Bayesian Optimization, Anomaly Detection, and Deep Networks.

Skills & qualifications

RequiredNice to have

Skills

Machine Learning TheoryMachine Learning PracticeMATLABPythonCommon Machine Learning FrameworksComputer VisionRoboticsActive LearningBayesian OptimizationAnomaly DetectionDeep NetworksDistributed/Parallel Learning AlgorithmsLearning ControlPredictive ModelingC++CUDARecent Advancements in Machine Learning Research

Qualifications

BS/MS/PhD in Electrical Engineering, Computer Science/Engineering or Related Field3+ Years Relevant Work or Lab Experience in Machine Learning, Deep Learning or High-Performance ComputingTrack Record of Research Excellence or Significant Product Development

Full job description

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%5Fai

You've read the whole posting — now see how you match it.