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Senior Machine Learning Engineer

AT NIKE, Inc.
NIKE, Inc.

Senior Machine Learning Engineer

Beaverton, OR

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 well-defined 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 multi-functional 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 Nike's 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.

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Must have a Master's degree in Computer Science, Mathematics, Statistics, Physics and 2 years of experience in the job offered or a engineering-related occupation. Experience must include:

• Python

• Numpy

• Databricks

• AWS ECR+EKS

• 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 www.Nike.com/Careers (Job# R-61279)

#LI-DNI

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.

Client-provided location(s): Beaverton, OR, USA
Job ID: nike-21272_R-61279
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Adoption Assistance Program
    • Family Support Resources
    • Fertility Benefits
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
    • Volunteer Time Off
    • Summer Fridays
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Work Visa Sponsorship
    • Leadership Training Program
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Veteran founded/led