Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch
We are looking for Machine Learning (ML) Engineer who is passionate about applying ML techniques to autonomous driving systems.
This role involves working close with a team of experienced researchers to design state-of-the-art predictive/generative ML algorithms with a particular focus on Deep Learning (DL). The research has the potential to be applied to real world challenges. The objective is to evaluate the developed algorithms on common benchmark suites, in internal simulated environments and potentially on real vehicles and robots.
As a member of the prediction team you will be working on modeling and predicting road users’ behavior in to the company’s products.
Qualifications
Having a M.Sc. or PhD degree in computer science or related fields (Exceptional candidates with undergraduate degree will be considered);
Proficiency in common programming languages (such as Python, C/C++, etc.);
Proven research record in artificial intelligence and machine learning;
Research background in time sequence analysis tasks such as tracking, activity recognition and prediction;
Familiarity with autonomous driving datasets and sensors data is preferred;
Familiarity with model compression and on-chip implementation of deep learning models is a plus.
Hands-on experience with recurrent neural networks and generative algorithms is a plus;
Hands-on experience in robotics is a plus;
Experience with one or more mainstream deep learning frameworks such as TensorFlow, PyTorch and Keras is a plus.
Huawei is a Chinese multinational technology corporation headquartered in Shenzhen, Guangdong province. It designs, develops, manufactures and sells telecommunications equipment, consumer electronics, smart devices and various rooftop solar products. Huawei has deployed its products and services in more than 170 countries and areas.