Senior Machine Learning Engineer

WHQ, United States

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Nike

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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.Ā 

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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. Ā 
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Experience must include the following:Ā 

  • Machine learning algorithmsĀ 

  • Data science methodsĀ 

  • Data wrangling with structured and unstructured dataĀ 

  • Feature engineeringĀ 

  • Time series, forecasting, and natural language processingĀ 

  • Programing languages including Java, Spark, and ScalaĀ 

  • Scripting languages such as Python, R, and SASĀ 

  • SQLĀ 

  • Deep learning methods and computer visionsĀ Ā 

  • Solution and technical designĀ 

  • Hyperparameter tuning approachesĀ 

  • Cloud technologies such as Google cloud, AWS or similar platformsĀ Ā 

  • Distributed SystemsĀ 

  • Productionalizing ML models at scaleĀ Ā 

  • Cross team collaborationĀ 

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

#LI-DNI

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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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index šŸ’°

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Tags: AWS Bayesian Computer Science Data analysis Data management Deep Learning Distributed Systems Engineering Feature engineering GCP Google Cloud Java Machine Learning ML models NLP Python R Robotics SAS Scala Spark SQL Statistical modeling Statistics Testing Unstructured data VR

Region: North America
Country: United States

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