Senior Machine Learning Engineer
WHQ
Open to remote work except in South Dakota, Vermont and West Virginia.
The annual base salary for this position ranges from $99,500.00 in our lowest geographic market to $222,900.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.Information about benefits can be found here.
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, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
WHO ARE WE LOOKING FOR
We seek passionate engineers to join our team. As a Senior Machine Learning Engineer, you will develop robust advanced analytics and machine learning solutions that have a direct impact on the business. You should have experience in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. EMR). You should also have a demonstrable history of team leadership and value delivery, and be comfortable working in an agile product model. As a Senior 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
• Undergraduate degree in Computer Science, or equivalent experience
• 3+ years of professional experience in software engineering, data engineering, machine learning, or related field
• Strong problem solving and analytical mindset
• Ability 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
• Understanding of 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)
ApplyJob Profile
RestrictionsNot fully remote in South Dakota Vermont West Virginia
Benefits/PerksCollaborative environment Continuous learning Diversity
Tasks- API development
- Develop machine learning solutions
- Own projects end to end
- Provide technical vision and guidance
Agile Agile Development AI Algorithms Analytical Analytics API Development Artificial Intelligence AWS CI/CD Cloud Communication Databricks Data engineering Data Modeling Data processing Data Structures Docker EMR Enterprise Architecture ETL Jenkins Kubernetes Leadership Machine Learning Mathematical optimization ML MLOps Postgres Python Redis Software architecture Software Development Software Engineering Spark SQL Team Leadership Terraform
Experience3 years
EducationComputer Science Engineering Equivalent experience Experience Related Field Undergraduate Degree Undergraduate Degree in Computer Science