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Machine Learning Engineer
2 months ago
WeRide, a pioneering smart mobility start-up, is seeking a highly skilled Machine Learning Engineer to join its elite team of entrepreneurs and technologists. As a key member of the prediction team, you will collaborate with a best-in-class team of engineers to tackle complex problems and drive innovation in mobility solutions.
Key Responsibilities- Develop and implement active learning and Bayesian optimization techniques to improve model performance.
- Design and deploy anomaly detection systems to identify and mitigate potential issues.
- Design and train deep networks to improve predictive modeling capabilities.
- Develop and implement distributed/parallel learning algorithms to scale machine learning models.
- Design and implement learning control systems to optimize model performance.
- Develop and deploy predictive modeling solutions to improve decision-making.
- PhD in Electrical Engineering, Computer Science/Engineering, or a related field.
- At least 3 years of relevant work or lab experience in Machine Learning, Deep Learning, or High-Performance Computing.
- Excellent knowledge of machine learning theory and practice.
- Excellent programming skills in rapid prototyping environments 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.
- Strong understanding of recent advancements in machine learning research.
WeRide offers a competitive salary range of $130,000 - $182,000, depending on experience, qualifications, education, location, and skills. Additionally, this position is eligible for an annual performance bonus, equity, and a comprehensive benefits package, including premium medical, dental, and vision plans, free daily meals, paid vacations and holidays, and a 401K plan.