Lead Machine Learning Engineer - NIKE USA INC - Beaverton, OR. Develop and program integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments; develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms; use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others; develop and evaluate algorithms to improve product system performance, quality, data management and accuracy; use current programming language, technologies to translate algorithms and technical specifications into code; complete programming and implement efficiencies, perform testing and debugging; complete documentation and procedures for installation and maintenance; apply deep learning technologies to give computers the capability to visualize, learn and respond to complex situations; adapt machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience; and work with large scale computing frameworks, data analysis systems and modeling environments. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV. 

Employer will accept a Master’s degree in Computer Science or Statistics and two (2) years of experience in the job offered or in a computer-related occupation.  
 
Experience must in the following:  

Developing and delivering production code in languages such as Python, Golang, Java, and Scala 

Frameworks including Spark and Hadoop 

AI/ML techniques such as neural networks, tree ensembles, regressions, and hypothesis testing 

Building Data and ML pipelines using Scikit-learn, Tensorflow, spark ML (MLlib), and OpenCV 

SQL 

Architecting and delivering cloud solutions using Google Cloud and AWS 

Recommendation and search algorithms including ALS, Neural Nets, Clustering, personalization techniques, time series, NLP, and image modeling 

A/B testing 

End-to-end lifecycle of ML systems including ML engineering development and designing and building low latency real-time systems 

Delivering and supporting high impact solutions across large datasets to production; 

Spark streaming 

MLOps and the lifecycle of model development from experimentation to production and measurement and visualization 

Apply at www.Nike.com/Careers (Job # R-62501) 

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