
Lead Machine Learning Engineer
- 🇺🇸 United States
- On-site
- Staff / Principal
- 1 day ago
- Machine Learning
- AI
- Python
- AWS
- MLOps
- Docker
- CI/CD
- Jenkins
- SQL
- ETL
- Data Modeling
- Apache Spark
- Kubernetes
- Databricks
- Terraform
- Snowflake
- PostgreSQL
Lead Machine Learning Engineer– NIKE USA Inc., Beaverton, OR. Develop robust advanced analytics and machine learning solutions that have a direct impact on the business; own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle; provide technical vision and guidance to the teammates; work with the Artificial Intelligence and Machine Learning (Al/ML) team at Nike with teammates in Portland, Boston, and Poland, and join a global organization working to solve machine learning problems at scale; design and implement scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact; contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development; develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV.Â
Must have a Master’s degree in Information Systems, Computer Science and 2 years of experience in the job offered or in a engineering-related occupation. Â
Position requires:Â Â
• Python Â
• AWS (Amazon Web Services) Â
• Machine Learning / MLOps Â
• Docker • CI/CD (Jenkins) Â
• SQL and ETL Pipelines Â
• Data Structures, Data Modeling and Software Architecture Â
• Apache Spark • Kubernetes Â
• Databricks Â
• Terraform Â
• Database Technologies (Snowflake, PostgreSQL)Â
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Apply atwww.jobs.nike.com (Job# R-95900)Â
#LI-DNI
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 theCandidate Accommodation Request Form.
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