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Software Engineer in Deep Learning


Job Code:
  • Engineering
  • Software Engineer
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Job Details

Software Engineer in Deep Learning Careers at Intel in Shanghai, Shanghai
Job ID: JR0015842
Job Category: Engineering
Primary Location: Shanghai, Shanghai CN
Other Locations:
Job Type:

Software Engineer in Deep Learning

Job Description

Candidate is responsible to develop and validate machine learning product for generic purpose or common use in a certain domain specific field.  This job is responsible to bring the best accuracy/performance as well as easy-of-use to customer. Job scope may be diverse during different stage of produce life cycle. The initial responsibility of hired employee will focus on developing products, tools and validation methods. The job scope may include:

  • Participate in product concept readiness proving by implementing prototype, or collecting and analyzing data 
  • Actively co-work with other engineers in design review and product implementation 
  • Implement, deliver and refine product features independently 
  • Collect, analysis, and improve product performance independently
  • Design and implement validation tools and test methodology to measure and assure quality and performance of products   
  • Work closely with colleagues or customers cross organization or cross GEO to collect requirement, solve technical issue or share knowledge. 

Qualifications The candidate should possess at least a Master degree of Computer Science (or related BS/MS degree in Computer field) or a bachelor degree with at least 2 years of experience. The candidate should have following qualifications: Language: candidate should be solid on at least one of the following language and familiar with at least two • Python • C/C++/JAVA • Assembly language • Understanding under the hood such as compiler technology and runtime environment is a plus Machine learning: candidate should have experience in at least one of the following fields • 2 year+ experience in data analysis, in image/video, natural language, statistic data or other field • Experience in deep learning frameworks such as Caffe, TensorFlow, Torch, Theano, MXNet o Have improved performance for one of the frameworks is a plus o Have implemented new model on one of the frameworks is a plus o Have ported a model from one framework to another is a plus o Have used existing model to improve state-of-art of empirical problem is a plus • Candidate should be familiar with deep learning algorithm as well as traditional data analyze algorithm such as SVM, PCA, K-mean, etc. • Good proven record for cluster infrastructure management with multi servers, like load balance , high availability service, and scalability Technical/problem solving • Excellent development and debugging skills (system level language such as C, C++ and assembly preferred) • Proven track record of analyzing and solving complex technical problems • Proven track record of deliver result in time on short release cycle • Excellent written and oral communication skills and be able to clearly communicate technical detail and concepts


As an electronics industry innovator and a leader in corporate responsibility, we look for ways to apply our technology to address global challenges while serving as a role model for how companies should operate.

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