成为 NIKE, Inc. 团队的一员
NIKE, Inc. 不仅为全球精英运动员们提供装备,也为您提供一个探索潜能、消除界限和突破极限的工作场所。我们致力于寻找渴望成长、独立思考、心怀梦想并勇于创造的英才,同时倡导拥抱多元化、鼓励想象力的企业文化。我们渴望与实干家、领导者及远见者同行。在 NIKE, Inc.,每个人都能施展才华,满怀热情,积极应对充满挑战且不断变化的世界。
WHO WE ARE LOOKING FOR
We are looking for a Software Engineer to design and implement core components of our data science services and platform and scale it to serve Nike globally. The focus of this engineer will be at the intersection of computer systems and machine learning. You will also work collaboratively with the data science and analytics teams to ship scalable, performant and reliable solutions.
WHAT YOU WILL WORK ON
As a Software Engineer in AI/ML Platforms, you will be part of a fast-paced engineering team developing services and platform that drive AI/ML at Nike. AI/ML is used in Nike to accelerate its digital transformation and real-time data-based decision-making capabilities. The focus is to leverage AI/ML technology to improve the user experience by using personalization, recommendation, smart search, digital demand sensing and scheduling techniques. These enhancements will be used to power consumer experiences on nike.com, Nike App, Nike SNKRS App as well as product innovation, supply chain, and logistics.
This Software Engineer will develop and/or implement services and paved-path solutions to enable data scientists and ML engineers at Nike. These services will enable and accelerate model training, model serving and model management. Additionally, they will evaluate new AI/ML platform services and capabilities for possible long-term approaches, and work with the user community to anticipate services and platform needs required to support algorithm development, model training, model management, data engineering and model serving. Lastly, they will advance and improve development practices with the engineering team through participation in architecture, technical design and code reviews
WHO YOU WILL WORK WITH
You'll be working with Agent Developers, Data Scientists, ML Engineers, and Product teams to identify and deliver platform capabilities to accelerate and streamline the delivery and maintenance of ML use cases. Additionally, you’ll work with teams integrating ML capabilities into Nike experiences and business applications. This position reports to the Director of AI/ML Tech Platforms.
WHAT YOU BRING
- Bachelor’s degree in Computer Science or a related field; will accept any suitable combination of education, experience, and training
- Strong Computer Science fundamentals
- At least 5 years of professional software development experience
- Ability to design, build, and manage a technical feature or capability
- Programming experience with at least one modern language such as Java, Python, Golang
- Experience with Infrastructure as Code / Dev Ops practices and technologies like Terraform
- Experience with Cloud services (e.g. AWS Cloud EC2, S3, DynamoDB, Azure Cloud, etc.)
- Experience developing and using microservices
- Excellent written and oral communication skills on both technical and non-technical topics
- Knowledgeable on AIML / machine learning concepts (ML Serving / ML Training, GenAI / Agents, RAG, A/B Testing, Model Experimentation, MCP)
- Platform experience: Authentication, CICD, Observability
- Experience with Big Data technologies (e.g., Spark)
Position Location & Schedule
This position is based at our incredibly beautiful worldwide campus headquarters location in Beaverton, Oregon. You'll work a "4/1 hybrid" schedule - Mondays - Thursdays are in the office and it's optional if you'd like to work Fridays from the Nike campus office or your home office.
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person 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.
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。