成為 NIKE, Inc. 團隊的一員
NIKE, Inc. 不僅為世界傑出運動員提供裝備,也是一個探索潛力、消弭疆界、超越可能的天地。公司想尋找能夠成長、思考、創造、懷抱夢想的人才,並擁抱多元性,鼓勵大家發揮想像力,讓企業文化欣欣向榮。品牌想尋找能達成目標者、管理者及有遠見的夢想家。NIKE, Inc. 希望每個人都能在挑戰性十足且不斷演變的環境中,揮灑熱情並一展所長。
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.
招募策略
01 申請
我們的團隊由多元技能、知識庫、意見、想法和背景組成。 我們希望你找到合適的職位:查看職務說明、部門和團隊,探索適合你的角色。
02 與招募人員會面或進行評估
若獲選擔任公司職務,招募人員會與你聯絡,以展開面試流程,並在整個流程中擔任你的主要聯絡人。 若為 Retail 職務,你將完成包含對談和測驗的互動式評估,完成評估約需 10 至 20 分鐘的時間。 無論是哪個角色,我們都想瞭解你的各種面向,因此請不要避談你如何提供世界級的服務,以及你的與眾不同之處。
03 面試
在進入這個階段時,可先做好研究,瞭解我們在尋找的人才,並為深入瞭解你及相關背景而設定的問題做好準備,自信應對。