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Key job responsibilities- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Develop efficient algorithms for multi-objective optimization using deep learning methods to find operating points for the ad marketplace then evolve them
- Research new and innovative machine learning approaches.
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in professional software development
- 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
- Experience implementing algorithms using both toolkits and self-developed code
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