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Key job responsibilities
In this role you will leverage your engineering background and expertise to help build the next generation of our mission understanding models and data collection framework. On a day-to-day basis, you will:* Interface with Applied Scientists, Product Managers, and Program Managers to determine requirements for production systems
* Analyze log data to determine future system design and configure parameters
Build scalable and production-ready data pipelines to extract features from petabytes of raw data
Integrate models and algorithms in complex, real-time production systems on immense scale
* Design and execute experiments to determine the impact of models and algorithms you intend to deploy in production
* Run analysis reports of web-experiments to identify benefits and risk of launching the models and algorithms
* Serve as a liaison to our customer/seller-facing partner teams in case of escalations
Project manage cross-functional Machine Learning initiatives
- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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