Senior Director, Machine Learning Engineering/Consumer

Senior Director, Machine Learning Engineering/Consumer

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.

Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $195,400.00 in our lowest geographic market to $462,700.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.

At the center of Nike’s Digital Transformation is our Consumer Direct Offense. Nike is driving investments in high quality data, platforms, and artificial intelligence products to create unbreakable relationships with consumers through powerful search and personalization. Nike is looking for a seasoned engineering leader who can develop amazing cross-functional teams of machine learning engineers, data engineers, and software engineers to deliver innovative machine learning and AI products and services at scale in support of Nike’s personalization deliverables. These include partnering with our Consumer Data Sciences team to solve complex business problems around enhanced search, product recommendations, editorial tagging automation, personalized communications, and the delivery of brand-new consumer experiences.

Who we are looking for

  • A proven technical leader with deep knowledge and experience in creating production grade, end-to-end machine learning services at scale. As comfortable discussing modern NLP architectures (e.g. BERT/ULMFit), personalization algorithms, computer vision as you would discuss the CAP theorem. Able to dive deep into code and architecture to provide an informed opinion on benefits/trade-offs of different design choices.
  • Highly organized and able to manage multiple timelines, priorities, and teams with ease. At the same time, able to quickly flex and pivot due to changing circumstances which present new opportunities for Nike.
  • An effective communicator who can seamlessly transition between discussing high level vision with executives to low level tactics with the dev team. You are able to influence people and align efforts across the company to act as one in pursuit of a common goal.
  • A constant learner who is passionate about staying at the forefront of the engineering and machine learning landscape through reading journals, books, or blogs. In equal measure, someone who is passionate about growing people and understanding how to effectively lead an organization.

What you will work on

  • Build a compelling vision and an amazing machine learning engineering organization to support personalization at Nike.
  • Develop a vision and long-term goals for how your teams will serve Nike’s athletes, plan the strategy for achieving those goals, and be responsible for its implementation towards the north star you set.
  • Build and grow highly skilled, cross-functional product teams that deliver end-to-end personalization capabilities for Nike (e.g. tailored recommendations/experiences). Manage the professional development and career plans for those on your teams, help us develop the technology leaders of tomorrow.
  • Set high standards for engineering excellence and drive innovation through Nike’s personalization function.
  • Use engineering and machine learning best practices to consistently deliver scalable, production-grade solutions while actively managing costs and overhead. Continually raise the bar to improve standards, quality, reliability, and velocity of the teams.
  • Leverage your prior experience, knowledge of industry trends, and personal creativity to develop new and innovative solutions which delight our customers. Given the rapid pace of change in technology and machine learning today, always be pushing the boundary of what’s possible and be on the offense always.
  • Embrace and embody Nike’s core values (maxims) in your work and interactions with peers, stakeholders, and direct reports.
  • Role model transparency and accountability as a leader of Nike. Communicate effectively, build trust and strong relationships across the company, do the right thing.
  • Engage employees meaningfully, assist the teams by removing roadblocks, align efforts across Nike’s matrix to drive progress forward and always win as a team.

Who you will work with

Artificial Intelligence and Machine Learning (AI/ML) is one of the key groups within Enterprise Data and AI and we have been chartered to help scale machine learning across Nike. One way we do this is by bringing cross-disciplinary teams of data scientists and engineers to areas of the business which are early in their AI journey. For areas of the business which are more mature and already have data science teams, we help scale machine learning by providing squads of engineers to increase the velocity of those data science teams in delivering value to the business. Our teams work across time zones in the US West, US East, and Europe. Lastly, we work closely with our platform and architecture partners to develop capabilities which help machine learning scale easier at Nike (e.g. model management, A/B testing, feature stores).

What you bring

  • Bachelor’s Degree in computer science, software engineering, or related field (Masters or Ph.D. preferred)
  • 8 + years of experience in developing production grade code, preferably related to analytics or machine learning.
  • Deep knowledge of software architecture and engineering best practices, especially modern cloud computing stacks for deploying machine learning and microservices at scale. For example, AWS for cloud provider, EKS for Kubernetes, Docker for containers, Jenkins for CI/CD, Tensorflow or Keras for a deep learning framework.
  • Strong background (both theoretical and practical) in machine learning for personalization. For example, this could include product recommendation engines, NLP for unstructured text featurization, or autoencoders for feature embeddings.
  • Experience influencing platform development for providing foundational machine learning components for data scientists to deliver into production. (i.e. AWS Sagemaker, MLFlow, Kubeflow)

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.