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Senior Machine Learning Engineer Nike USA Inc. Beaverton OR. Develop code/configure test programs/systems and solutions problems in order to meet defined digital product specifications and direction; develop robust advanced analytics and machine learning solutions that have a direct impact on the business; help design and build scalable software solutions implement and integrate new technologies manage and evolve existing platforms; design and implement scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact; assess a welldefined problem and lead the development of a technical solution that meets the needs of the business and aligns with architectural standards; contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development; solve machine learning problems at scale; develop products focused primarily on consumer data: serve as an integral member of a multifunctional engineering teams that delivers solutions unlocking machine learning for Nike; analyze and profile data to uncover insights in support of scalable solutions clean prepare and verify the integrity of data for analysis and model creation; track model accuracy performance relevance and reliability; apply a variety of machine learning and collaborative filtering methods to data sets; aid in building APIs and software libraries that support adoption of models in production; leverage prior experience knowledge of industry trends and personal creativity to develop new and innovative solutions; stay ahead of industry trends and recommend relevant technologies & products in the areas of Analytics Machine Learning Artificial Intelligence and Data Science tools and other emerging technologies; and embrace and embody Nikes core values (Maxims) in work and interactions with peers and stakeholders and communicate effectively building trust and strong relationships across the company. Telecommuting is available from anywhere in the U.S. except from SD VT and WV.
Must have a Masters degree in Computer Science Mathematics Statistics Physics and 2 years of experience in the job offered or a engineeringrelated occupation. Experience must include:
Python
Numpy
Databricks
AWS ECREKS
ML Ops & Maintenance and AWS
Distributed Version Control Systems (git)
Gather requirements and deliver technical projects of medium scope and moderate uncertainty
Agile development and test driven development
Spark Kubernetes Docker Jenkins Databricks Terraform
Apply at (Job# R61279)
#LIDNI
We offer a number of accommodations to complete our interview process including screen readers sign language interpreters accessible and single location for inperson 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.
Required Experience:
Senior IC
Full Time