#21272_R-38652
rable history of team leadership and value delivery, and be comfortable working in an agile product model. As a Lead ML Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle. As a result, you will be expected to provide technical vision and guidance to your teammates; therefore, strong communication skills are critical in this role.
WHAT WILL YOU WORK ON
If this is you, you'll be working with the Artificial Intelligence and Machine Learning (AI/ML) team at Nike. With teammates in Portland, Boston, and Poland, you'll be joining a global organization working to solve machine learning problems at scale. You'll be designing and implementing scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact. You'll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development. You thrive when surrounded by talented colleagues and aim to never stop learning. We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large.
We value and nurture our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse.
WHO WILL YOU WORK WITH
In this role, you'll be working closely with the rest of our global team, along with commercial and consumer analytics, and enterprise architecture teams.
WHAT YOU BRING
Bachelor's degree in Computer Science, or combination of relevant education, 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
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.