成为 NIKE, Inc. 团队的一员
NIKE, Inc. 不仅仅是为全球顶尖运动员提供装备，更是一个发掘潜力、突破边界、创造无限可能的地方。我们致力于寻找善于成长、思考、梦想和创造的人才。我们的企业文化因拥抱多元化、鼓励想象力而蓬勃发展。Nike 寻觅奋斗者、领导者和梦想者的加入。NIKE, Inc. 员工以出色的专业技能迎接挑战，满怀激情地投身于不断变化的行业发展之中。
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, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
WHO ARE WE LOOKING FOR
As a Software Engineer within the AIML team, you will be developing sophisticated analytics systems that directly impact our business. You will work on a cross-disciplinary team (Machine Learning / Software Engineering / DevOps) to enable data-driven decision-making across multiple organizations. Working at the intersection of machine learning and software engineering, you’ll create high-quality solutions that power Nike. You will work with others who are energized by the challenge of building things from the ground up, thinking out of the box, and applying the latest technologies in statistical, unsupervised, supervised, and machine-learning models at a global scale. Our teams enjoy a collaborative and academic environment that promotes developing new skills, mentorship, and a drive to deliver knowledge and software back to analytics and engineering communities, within and Nike and without. This culture is cultivated by intellectual curiosity, fun, willingness, and diversity.
WHO WILL YOU WORK WITH
AIML is one of the key groups within Data and Artificial Intelligence. We’re chartered to scale machine learning and AI at Nike. For areas of the business early in their analytics journey, we embed cross-disciplinary teams of data scientists and engineers to unlock new capabilities and answer unsolved (or unasked!) questions.
In mature areas with preexisting data science teams, we help scale machine learning by attaching engineering squads to grow their capacity to deliver for the business. In addition, we collaborate closely with platform and architecture partners to develop capabilities that simplify machine learning at scale within Nike (e.g. model deployment, A/B testing, model monitoring).
WHAT YOU BRING TO NIKE
Understanding of Python programming and ability to write simple, clear code
Familiarity with version control systems like Git
Familiarity with SQL and Spark basics
General awareness of data science concepts and common machine learning algorithms
Understanding of cloud computing concepts (e.g., AWS, Google Cloud)
Educational background or coursework in mathematics, statistics, or computer science
Understanding of basic software design principles
Good communication skills and ability to work in a team environment
Willingness to learn and grow in areas of data science and software development
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.
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我们的招聘策略
01 申请
我们的团队拥有多元化的技能组合、知识库、意见、想法和背景。 希望你能找到适合自己的职位，因此请查看职位描述、部门和团队，找到适合你的职位。
02 与招聘人员会面或进行评估
如果被选中担任公司职位，招聘人员将会联系你开启面试流程，并在整个过程中担任你的主要联系人。 如果是零售职位，你需要完成互动式评估，包括聊天和测验，用时约 10 到 20 分钟。 无论担任什么职位，我们都希望充分了解你。因此，请尽情展现你如何提供世界一流的服务以及你的独特之处。
03 面试
从容开启这一阶段，做好充分调查，了解候选人标准并根据个人情况和背景准备可能会被问到的问题。
