Senior 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 learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy; use current programming language and technologies to translate algorithms and technical specifications into code; complete programming and implements efficiencies, performs 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 Software Engineering and two (2) years of experience in the job offered or in an engineer-related occupation.  
 
Experience must include the following: 

  • Machine learning algorithms 

  • Data science methods 

  • Data wrangling with structured and unstructured data 

  • Feature engineering 

  • Time series, forecasting, and natural language processing 

  • Programing languages including Java, Spark, and Scala 

  • Scripting languages such as Python, R, and SAS 

  • SQL 

  • Deep learning methods and computer visions  

  • Solution and technical design 

  • Hyperparameter tuning approaches 

  • Cloud technologies such as Google cloud, AWS or similar platforms  

  • Distributed Systems 

  • Productionalizing ML models at scale  

  • Cross team collaboration 

 

Apply at www.jobs.nike.com (Job #R-49928). 

#LI-DNI

 

We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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