Lead Machine Learning Engineer AI/ML (Remote Work Option)
About the position Become a Part of the NIKE, Inc. Team. 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, Inc. it's about each person bringing skills and passion to a challenging and constantly evolving game. Open to remote work except in South Dakota, Vermont and West Virginia. The annual base salary for this position ranges from $119,400.00 in our lowest geographic market to $267,500.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience. Responsibilities • 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 teammates. • Design and implement scalable applications that leverage prediction models and optimization programs. • Contribute to core advanced analytics and machine learning platforms and tools. Requirements • Bachelor's degree in Computer Science, or combination of relevant education and experience. • 5+ years of professional experience in software engineering, data engineering, machine learning, or related field. • Strong analytical mindset and experience leading others in problem solving. • Experience working in a team to write robust, maintainable, and extendable code in Python; containerized in Docker, and automated with CI/CD. • Expertise with agile development and test driven development. • Expertise with data structures, data modeling and software architecture. • Experience with complex data sets, ETL pipelines, SQL, and general data engineering. • Expertise in MLOps, API development, or mathematical optimization are highly desirable. • Expertise with cloud architecture and technologies, in particular Amazon Web Services. • Expertise with technologies like Spark, Kubernetes, Docker, Jenkins, Databricks, Terraform is also highly desirable. • Effective communication skills (with team members, the business, and in code). • Experience providing technical leadership within a team and mentorship to others. Benefits • Generous total rewards package. • Casual work environment. • Diverse and inclusive culture. • Electric atmosphere for professional development. Apply tot his job