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Key job responsibilities
* Conduct deep data analysis to derive insights for the business, identify gaps, and uncover new opportunities.
* Develop scalable and effective machine learning models and optimization strategies to solve business problems.
* Run regular A/B experiments, gather data, and perform statistical analysis to optimize Publisher and advertiser experiences.
* Collaborate closely with software engineers to deliver end-to-end solutions into production.
* Enhance the scalability, efficiency, and automation of large-scale data analytics, model training, deployment, and serving.
* Research and implement new machine learning models and techniques to improve advertising performance.
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Proficiency in solving business problems through machine learning, data mining, and statistical algorithms.
- Expertise in designing and optimizing deep learning models, model pruning, and related optimization techniques.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience with popular deep learning frameworks such as TensorFlow and PyTorch.
- Experience in professional software development and large-scale distributed systems.
- Experience in data pipeline design, A/B testing, analytics for real-time data, and Spark
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