Machine Learning 3Remote

Title: Machine Learning Engineer

Location: Beaverton, OR

Duration: 10 months contract

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.

What You Will Work On

• 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 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 accuracy
• Translate algorithms and technical specifications into code using current programming languages and technologies
• Complete programming and implement efficiencies, perform 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
• Work with large scale computing frameworks, data analysis systems and modeling environments

What You Bring

• 5+ years of experience in Machine Learning
• Engineering background, this is NOT a data scientist role
• Experience with Spark, Python, ML Algorithms/MLOps
• Knowledge of SQL, Airflow, Sagemaker, AWS, Github, version control
• Help productionize, maintain existing models and work along with the data science team
• Hands on experience and production level skills

Nice to have: Exposure to GenAI tools and capabilities