
About this role
Full Time Senior Machine Learning Engineer - Singapore in AI at WeRide in One-north. Apply directly through the link below.
At a glance
- Work mode
- Office
- Employment
- Full Time
- Location
- One-north
- Experience
- Senior
- Education
- PhD
Core stack
- Machine Learning
- Computer Science
- Computer Vision
- Deep Learning
- Optimization
- Performance
- Distributed
- Electrical
- Python
- AI
Quick answers
What are the qualifications?
BS/MS/PhD in Electrical Engineering, Computer Science/Engineering or a related field.
What skills are required?
Machine Learning, Computer Science, Computer Vision, Deep Learning, Optimization, Performance, Distributed, Electrical, Python, AI.
WeRide is hiring for this role. Visit career page
Singapore, Singapore
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