Nike · 1 day ago
Director, Supply Chain AI/ML Engineering
Beaverton, OR
Full-time
Remote
Director/Executive
$166K/yr - $393K/yr
10+ years exp
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Responsibilities
Serve as part of a cross-functional 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 Nike’s 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 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. 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.
Qualification
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Required
A proven technical leader with deep knowledge and experience in delivering production grade software at scale.
Comparable Bachelor’s Degree in computer science, software engineering, or applicable field (master’s degree or Ph.D. preferred).
10+ years of experience across multiple roles in developing productionized code in software or data engineering, machine 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 Scikit-learn, 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 open-source technologies and the impact of standardized platforms.
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.
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.
Preferred
Experience delivering analytics and ML products preferred.
Company
Nike
Nike is a retail brand that provides the sale of apparel, footwear, sports equipment, and accessory products.
10001+ employees
H1B Sponsorship
Nike has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (206)
2022 (496)
2021 (506)
2020 (241)
Funding
Current Stage
Public CompanyTotal Funding
$239MKey Investors
Pershing Square Capital Management
2024-08-17Post Ipo Equity· $239M
1980-12-02IPO
Leadership Team
Elliott Hill
Incoming President and Chief Executive Officer
Mark Parker
President & Chief Executive Officer
Recent News
2024-12-19
Company data provided by crunchbase
