Nike

Machine Learning 3

Nike Beaverton, OR

Work options: Remote

Remote, US

Title: Machine Learning 3

Location: Remote, US

Duration: 10 months contract

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

What You Will Work On

  • Develop and program integrated software algorithms for data structuring, analysis, and leveraging in product and systems applications across structured and unstructured environments.
  • Design and communicate descriptive, diagnostic, predictive, and prescriptive insights/algorithms.
  • Utilize machine learning and statistical modeling techniques (e.g., decision trees, logistic regression, Bayesian analysis) to enhance product/system performance, quality, data management, and accuracy.
  • Translate algorithms and technical specifications into code using current programming languages and technologies in both theoretical and practical development environments.
  • Implement efficiencies, conduct testing and debugging, and document procedures for installation and maintenance.
  • Apply deep learning technologies to enable computers to visualize, learn, and respond to complex scenarios.
  • Adapt machine learning to applications in virtual reality, augmented reality, artificial intelligence, robotics, and interactive user experiences.
  • Work with large-scale computing frameworks, data analysis systems, and modeling environments.

What You Bring

  • Bachelor's Degree required.
  • Minimum of 5 years directly relevant work experience.
  • Alternatives accepted:
  • PhD or Law degree + 3 years of experience
  • Master's degree + 4 years of experience
  • Associate's degree + 6 years of experience
  • High School diploma + 7 years of experience
  • Seniority level

    Mid-Senior level
  • Employment type

    Contract
  • Job function

    Engineering and Information Technology
  • Industries

    Retail

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