Senior Machine Learning Engineer – AI/ML (Remote Work Option)

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.
 

Who are we looking for

We are actively seeking to hire multiple Senior Machine Learning Engineers to join our AI/ML team. As a Sr. Machine Learning Engineer within the AI/ML team, you will be developing advanced analytics systems that directly impact our business. You will work on a cross-disciplinary team (data/API/infra/infosec/ML) to enable data-driven decision making across multiple organizations.

Working at the intersection of machine learning and software engineering (i.e., MLOps), you’ll create high-quality solutions that power Nike. You will work with others who are energized by the challenge of building things from the ground up, thinking out of the box, and applying the latest technologies in statistical, unsupervised, supervised, and machine learning models at global scale.

Our teams enjoy a collaborative and academic environment that promotes developing new skills, mentorship, and a drive to deliver knowledge and software back to analytics and engineering communities, within and Nike and without. This culture is cultivated by intellectual curiosity, fun, openness, and diversity.

Sound like you?

Who will you work with

AI/ML is one of the key groups within Data and Analytics. We’re chartered to scale machine learning and AI at Nike. For areas of the business early in their analytics journey, we embed cross-disciplinary teams of data scientists and engineers to unlock new capabilities and answer unsolved (or unasked!) questions.

In mature areas with pre-existing data science teams, we help scale machine learning by attaching engineering squads to grow their capacity to deliver for the business. In addition, we collaborate closely with platform and architecture partners to develop capabilities that simplify machine learning at scale within Nike (e.g. model management, A/B testing, feature stores).

Essential Job Functions:

• Serve as an integral member of a multi-functional engineering teams that delivers solutions unlocking machine learning for Nike. You will analyze and profile data to uncover insights in support of scalable solutions, clean, prepare and verify the integrity of data for analysis and model creation. You’ll also track model accuracy, performance, relevance, and reliability. You will apply a variety of machine learning and collaborative filtering methods to data …