Machine Learning Scientist

Huawei Consumer Cloud Service Department is responsible for a wide range of mobile services for Huawei’s smartphone, wearable, and smart home devices, such as app/video/music/book store, cloud storage, payment, search, etc.

The Big Data Intelligence Group is looking for a Machine Learning Scientist, to develop and apply algorithms and models in areas like nature language processing, text sentiment analysis, recommendation model learning, search, ads content analysis.


Essential Functions:

Work with the team to create new deep learning and ML algorithms and applications. Drive technical vision and strategy to make DL and ML a must-have capability in delivering consumer services
Help to define and improve large scale Machine Learning platform that powers our Big Data products.
Apply Natural Language Processing to understand text from forum reviews, description and interactions between users.
Identifying suspicious transactions in online store, push message, payment.
Clustering of users and content to enable intelligent recommendation.
Working with engineering to build machine learning platform that covers data processing, feature engineering, and monitoring.

JOB SPECIFICATIONS (Education, Knowledge, Skills, and Abilities); (refers to job, not incumbent)


Minimum: Master's Degree
Preferred: Doctoral/Professional Degree
Major/Discipline: Computer Science/Math

Relevant Work Experience:

Minimum: 3+ year of Machine Learning/Data Science.
Preferred: 5+ years of ML, DL.

Skills & Abilities: (Technical or General)

Minimum Requirements:

Knowledge of natural language processing techniques and neural networks.
Experience in implement and validate Big Data algorithms and models.
Strong communications skills.
Ability to work well as part of a team.


Able to lead a team in developing and executing your technical vision, including planning, technical decision-making, and project management.
Versed in the process of building effective learning systems (data collection, training, evaluation, making iterative improvements).
Experience with (un)supervised learning algorithms.
Experience with Caffe/TensorFlow/Torch or similar deep learning frameworks.
Programming experience with R/Scala/C++/Python.
Excellent written and oral communication skills on both technical and non-technical topics.

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