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.
Want more jobs like this?
Get jobs in Beaverton, OR delivered to your inbox every week.
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).
#LI-DNI
We are committed to fostering a diverse and inclusive environment for all employees and job applicants. 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.