Sr Software Eng Digital Engineering

Posted on Nov 21, 2018 by Nike

Portland, OR 97201
Leisure & Sport
Immediate Start
Annual Salary
Job Description

Nike's Digital Innovation Engineering team operates across organizational lines to deliver entirely new concepts that surprise and delight consumers, to drive our business. By relentlessly pioneering new ways to connect with our consumers, we strive to embody and continuously redefine Nike's original mission: To bring inspiration and innovation to every athlete* in the world.

If you're ready to innovate and lead in the Digital space, join Nike Digital's Engineering organization. As part of the Innovation team, you will be responsible for creating, developing and deploying everything from early prototypes to full blown production services and experiences designed to test the boundaries for how Nike engages with consumers digitally.

Our culture is collaborative and results driven. We adopt the fail-fast operating model; measuring success through KPIs against our products and from the learnings of our failures. We operate across all areas of the business and focus on end-to-end solutions that deliver game changing impact.

Your Role on the Team

We are looking for an Innovation Engineer, focused on Machine Learning, to help lead the way for new search & recommendation capabilities, powered by AI/deep learning. As a member of our team you will work closely with a cross-functional group to research, design, and develop the supporting models, pipelines and services that enable these capabilities.

You are a highly-motivated engineer with experience delivering high-quality software solutions. You have a proven knowledge of software engineering fundamentals and an appetite for continuous learning and teamwork. You are out in front of the latest trends in machine learning and you know how to extract insights and make predictions from datasets-both small and large.

  • Passion for technology and learning, with a natural curiosity and a love for delivering real-world solutions in an agile environment
  • Excellent verbal and written communication skills to effectively communicate with both business and technical teams
  • Production-grade experience with an established machine learning workflow utilizing popular frameworks or cloud-native solutions for machine/deep learning-scikit-learn, Pandas, Keras (w/ TensorFlow) and Jupyter Notebooks
  • Practical experience analyzing large datasets and applying machine learning or AI algorithms to solve real world problems
  • Expertise in one or more server-side languages like Python, NodeJS, or Java
  • Experience with NoSQL data stores, such as DynamoDB, or similar technologies
  • Experience working in a Distributed/Cloud-based environment (AWS preferred)
  • Experience with modern build strategies, continuous integration, unit testing, static analysis, and automated integration tests
  • Ability to evaluate technical feasibility of product ideas, provide estimates on effort and risk, and articulate the pros & cons of different solutions
  • Commitment to and hands-on experience in performing technical code reviews

  • Reference: 561333929