Senior Machine Learning Engineer - NIKE USA Inc. - Beaverton, OR. Develop and program integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments; develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms; use machine learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy; use current programming language and technologies to translate algorithms and technical specifications into code; complete programming and implements efficiencies, performs testing and debugging; complete documentation and procedures for installation and maintenance; apply deep learning technologies to give computers the capability to visualize, learn and respond to complex situations; adapt machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience; and work with large scale computing frameworks, data analysis systems and modeling environments. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV.
Employer will accept a Master’s degree in Computer Science or Software Engineering and two (2) years of experience in the job offered or in an engineer-related occupation.
Experience must include the following:
Machine learning algorithms
Data science methods
Data wrangling with structured and unstructured data
Feature engineering
Time series, forecasting, and natural language processing
Programing languages including Java, Spark, and Scala
Scripting languages such as Python, R, and SAS
SQL
Deep learning methods and computer visions
Solution and technical design
Hyperparameter tuning approaches
Cloud technologies such as Google cloud, AWS or similar platforms
Distributed Systems
Productionalizing ML models at scale
Cross team collaboration
Apply at www.jobs.nike.com (Job #R-49928).
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채용 계획
01 지원
나이키 팀은 다양한 기술과 지식, 의견, 아이디어, 배경을 가진 사람들로 구성되어 있습니다. 직무 소개서와 부서, 팀을 살펴보며 내게 맞는 역할을 찾아보세요. 적합한 직무를 찾을 수 있기를 바랍니다.
02 채용 담당자와의 만남 또는 평가 진행
본사 직무에 선발되면 면접 과정을 시작하고자 채용 담당자가 연락을 드립니다. 해당 과정을 진행하는 동안 이 담당자와 주로 연락하게 됩니다. 리테일 직무의 경우 채팅과 퀴즈 등 양방향 평가가 진행되며, 완료하는 데는 약 10~20분이 소요됩니다. 어떤 직무에 지원하시든, 나이키는 여러분에 관한 모든 정보를 듣고 싶습니다. 그러니 여러분이 어떻게 세계 최고 수준의 서비스를 제공할 것인지, 여러분만의 특별함은 무엇인지 주저하지 말고 보여주시길 바랍니다.
03 면접
이 단계를 자신 있게 시작하기 위해 필요한 정보를 조사하고 나이키가 추구하는 요소를 파악해 보세요. 또 여러분과 여러분의 배경에 관해 자세히 알기 위해 고안된 질문에 답할 준비를 갖추세요.