Director Supply Chain AIML Engineering
Director Supply Chain AIML Engineering
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1 Vacancy
Job Description
Open to remote work except in South Dakota Vermont and West Virginia.
The annual base salary for this position ranges from $166100.00 in our lowest geographic market to $392700.00 in our highest geographic market. Actual salary will vary based on a candidates location qualifications skills and experience.Information about benefits can be found here.
Director AI/ML Engineering
NIKE Inc. does more than outfit the worlds best athletes. It is a place to explore potential obliterate boundaries and redefine what can be. We look for colleagues who can grow think dream and create. Our culture thrives by embracing diversity and rewarding imagination. The Nike brand seeks achievers leaders and visionaries. At NIKE Inc. its about each person bringing skills and passion to a challenging and constantly evolving game.
WHO ARE WE LOOKING FOR
Nike is looking for a seasoned Engineering leader who can lead and grow teams of machine
learning engineers data scientists and software architects to deliver scalable machine learning and artificial intelligence solutions to customers across our business. As Director of AI/ML Engineering you will be a crossdisciplinary (data/API/infra/infosec/ML) engineering leader for teams tasked with executing on the AI/ML organizations charter. In this role you will be working at the intersection of machine learning and engineering (i.e. MLOps) leading teams to deliver innovative and highquality services which power Nikes supply chain. You will be a strong advocate for both engineering best practices (e.g. code reviews unit testing) and also the adoption of new technologies (e.g. DataBricks SageMaker LLM optimization which can help us move faster on our journey. In this way you will be responsible for coaching engineers to continuously elevate their engineering skills and for growing their careers at Nike.
WHO WILL YOU WORK WITH
Artificial Intelligence and Machine Learning (AI/ML) is one of the key groups within Data and Artificial Intelligence and we have been chartered to help scale machine learning across Nike. We bring crossdisciplinary teams of data scientists and engineers to areas of the business which are early in their analytics 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 maximize the velocity of those data science teams in delivering value to the business. 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). This role reports directly to the Senior Director of AI/ML Engineering.
Essential Job Functions:
- Serve as part of a crossfunctional leadership team to grow highly skilled diverse engineering teams that deliver solutions which unlock machine learning for Nike. Engage employees assist the teams by removing roadblocks and align efforts across Nikes matrix to drive progress forward and always win as a team.
- Leverage your prior experience knowledge of industry trends and personal creativity to develop and drive new and innovative solutions which delight our customers in their mission to serve Athletes*.
- Stay current with industry trends and recommend relevant technologies & products in the areas of analytics machine learning artificial intelligence and data science. Given the rapid pace of change in technology and machine learning today always be pushing the boundary of whats possible and be on the offense always.
- Embrace and embody Nikes core values (maxims) in your work and interactions with peers stakeholders and direct reports. Model clarity and accountability as a leader of Nike. Communicate effectively build trust and strong relationships across the company do the right thing.
- Be a mentor to teams individuals and technical leaders to foster motivated contributors collaborative stakeholders and high performing teams. Set high standards for engineering excellence MLOPs operational excellence and drive innovation.
- Curiosity.
WHAT YOU BRING TO NIKE
- A proven technical leader with deep knowledge and experience in delivering production grade software at scale. Able to dive deep into code and architecture to provide an informed opinion on benefits/tradeoffs of different design choice.
- Comparable Bachelors Degree in computer science software engineering or applicable field (masters degree or Ph.D. preferred).
- 10 years of experience across multiple roles in developing productionized code in software ordata engineeringmachine learning or a related field (experience delivering analytics and ML products preferred).
- 4 years in a leadership or management role using Agile frameworks processes and team structures.
- Familiarity with ETL ML or analytics technologies such as Scikitlearn Dask Tensorflow Kubeflow Spark EMR or similar platforms and frameworks.
- Must be able to meaningfully communicate written orally and visually technical topics with stakeholders and articulate the benefits and tradeoffs of each solution and connect them to business value.
- Fluency in the application of opensource technologies and the impact of standardized platforms. Ability to make build/buy decisions in the area of Data Science AI & ML.
- Must be able to articulate and evangelize MLOps code management workflows infrastructure as code and the lifecycle of model development from experimentation to production and measurement. This will include a deep knowledge of software architecture and engineering best practices especially modern cloud computing stacks for deploying machine learning at scale.
- Strong skills in team leadership and building positive relationships across Product Architecture and Engineering and ability to influence decisions and changes across loosely coupled teams.
- The habits of a constant learner.
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.
We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers sign language interpreters accessible and single location for inperson 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.
Required Experience:
Director
Employment Type
Full-Time
