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. The candidate should have following qualifications:
Language and and fundamental skill :
- Candidate should be solid on at least one of the following language and familiar with at least two: Python/ C/C++/JAVA.
- Assembly language will be a plus to be familiar with the knowledge of below domains: Computer architecture, Compiler, OS and language runtime environment.
- 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 Pytoch, TensorFlow, , MXNet etc...
- Have improved performance for one of the frameworks is a plus
- Have implemented new model on one of the frameworks is a plus
- Have ported a model from one framework to another is a plus
- 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.
- 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
- Good understanding and excellent hands-on engineering capability of quality control in software development life cycle
- Good proven record for cluster infrastructure management with High Performance computing(HPC), like load balance , high availability service, and scalability
- Excellent written and oral communication skills and be able to clearly communicate technical details and concepts
Minimum requirements:
1. At least Master degree of Computer Science (or related BS/MS degree in Computer field) or a bachelor degree.
2. Candidate should be solid on at least one of the following language and familiar with two: Python/ C/C++/JAVA.
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