Nike-posted 3 months ago
$149,100 - $313,900/Yr
Full-time
Remote • Beaverton, OR
5,001-10,000 employees
Leather and Allied Product Manufacturing

Become a Part of the NIKE, Inc. Team. 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, Inc. it's about each person bringing skills and passion to a challenging and constantly evolving game.

  • Inspire by building POCs and showing the art of the possible in AI
  • Develop software architecture and platform strategy for Gen AI applications
  • Recruit, hire, and mentor exceptional data scientists and machine learning engineers, software engineers
  • Work with product management, development/engineering, platform development, architecture, operations, and other internal stakeholders to define requirements, guide product and architectural vision, and prioritize efforts.
  • Help translate customer requirements into stories to support agile development and accurate roadmaps.
  • Support investigation of new software packages/vendors, APIs, and algorithms to deliver quality analytics and Gen AI systems at scale.
  • Ensure rigorous engineering processes.
  • Collaborate with a cross functional agile team of software engineers, data engineers, ML experts, Gen AI experts and others to build new product features.
  • Help drive optimization, testing, and tooling to improve data quality
  • Iterate quickly on product quality through continuous A/B testing
  • Bachelor's Degree in computer science, software engineering, or related field. Masters or Ph.D. preferred.
  • 8+ years of relevant work experience; 4+ years of people management experience
  • Must have launched an AI application at global scale
  • Deep technical understanding of the latest generative AI applications like large language models (LLMs), large multimodal models (LMMs), image/video generation.
  • Proven success implementing and scaling Gen AI systems
  • Expertise in conversational AI systems with experience with relevant technologies like RAG, cloud platforms (AWS, Azure, GCP)
  • Engineering leader who can aggressively recruit top talent and build teams that deliver results.
  • Rock solid engineer and data scientist with demonstrated experience in Machine Learning, AI or distributed systems development.
  • Background in Machine Learning or a related field. Significant experience in machine learning algorithms, understanding natural language or unstructured data.
  • Deep learning experience is a plus.
  • Experience implementing machine learning systems at scale in Java, Scala, Python or similar
  • Strong mathematical background in statistics and machine learning
  • Care about agile software processes, data-driven development, reliability, and responsible experimentation
  • Preferably have machine learning publications, project code, or work on open source to share
  • Excellent communications skills and ability to coordinate internally and externally
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