DSAA 2016 Job Ads
Huawei

job number: H01

Title

Machine Learning Algorithm Researcher

Location

Toronto (Markham), Canada

Overview

Based in Toronto (Markham), the Canadian division of Huawei’s Shannon Cognitive Computing Lab is responsible for developing key technologies in artificial intelligence and cognitive computing. Through internal collaboration with Shannon Cognitive Computing Labs in the US, Russia, Israel, and China, and external collaboration with leading research institutions in Canada and the US, we innovate at the leading-edge of machine learning, computer vision, and robotics to support the company's continued business success.

We warmly welcome outstanding and burgeoning researchers to join us as full-time employees or R&D interns!

Job Description & Qualification Requirements

Job Description:

We are looking for passionate researchers who have conducted active and excellent research in one or more of the following areas:

  1. Machine learning algorithms and models for classification, clustering, regression, prediction and information fusion of massive data sets, and
  2. Adaptations and applications of advanced machine learning algorithms and models to realistic challenges.
Qualification Requirements:

  1. Suitable research background in artificial intelligence, and advanced research experience in deep learning, statistical machine learning, computer vision, or optimization methods;
  2. Advanced knowledge in deep learning (DNN, CNN, RNN, DBN, AE, RBM, etc.) and ability to creatively adapt deep learning models to specific scenarios;
  3. Proficiency in common programming and scripting languages (such as C/C++, Java, Shell, Python, etc.);
  4. Knowledge of mainstream deep learning frameworks, such as TensorFlow, Caffe, MXNet, Theano, Torch, and Keras is a plus;
  5. Knowledge of common big data processing frameworks, such as Spark, Hadoop or Petuum, either is preferred is a plus;
  6. Track record in terms of conference or journal publications on machine learning and artificial intelligence, awards of relevant competitions, and patents in relevant fields is a plus.

DSAA 2016