Rejoignez l'équipe NIKE, Inc.
Loin de se contenter d'équiper les plus grands athlètes mondiaux, NIKE, Inc. explore les potentiels, abolit les frontières et repousse les limites du possible. L'entreprise recherche des personnes capables d'évoluer, de réfléchir, de rêver et de créer. L'épanouissement de sa culture repose sur son ouverture à la diversité et sur sa façon d'encourager l'imagination. La marque a besoin de personnes talentueuses, de leaders et de visionnaires. Chez NIKE, Inc., chacun contribue, par ses compétences et sa passion, à jouer un match difficile en constante évolution.
Open to remote work except in South Dakota, Vermont and West Virginia.
The annual base salary for this position ranges from $166,100.00 in our lowest geographic market to $392,700.00 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 .
WHO WE ARE 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 cross-disciplinary (data/API/infra/infosec/ML) engineering leader for teams tasked with executing on the AI/ML organization’s 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 high-quality services which power Nike’s 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.
Essential Job Functions
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.
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.
WHAT YOU BRING TO NIKE
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.
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.
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.
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.
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