Title:Machine Learning EngineerLocation:Beaverton, ORDuration:10 months contractNIKE, 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.What You Will Work OnDevelop and program integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environmentsDevelop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithmsUse machine language 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 accuracyTranslate algorithms and technical specifications into code using current programming languages and technologiesComplete programming and implement efficiencies, perform testing and debuggingComplete documentation and procedures for installation and maintenanceApply deep learning technologies to give computers the capability to visualize, learn and respond to complex situationsAdapt machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experienceWork with large scale computing frameworks, data analysis systems and modeling environmentsWhat You Bring5+ years of experience in Machine LearningEngineering background, this is NOT a data scientist roleExperience with Spark, Python, ML Algorithms/MLOpsKnowledge of SQL, Airflow, Sagemaker, AWS, Github, version controlHelp productionize, maintain existing models and work along with the data science teamHands on experience and production level skillsNice to have: Exposure to GenAI tools and capabilities
