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Key job responsibilities
Your responsibilities include:
- Design, build, and deploy effective and innovative ML solutions to improve search ranking.
- Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
- Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR.Your benefits include:
- Excellent opportunities, and ample support, for career growth, development, and mentorship.
- 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 building machine learning models or developing algorithms for business application
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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