Remote Machine Learning Engineer – AI/ML

Join the AI/ML Team at Nike

Nike, Inc. is seeking multiple Machine Learning Engineers to join our AI/ML team. This role is pivotal in developing advanced analytics systems that directly impact our business. As a Machine Learning Engineer, you will work on a cross-disciplinary team to enable data-driven decision-making across multiple organizations.

Key Responsibilities

• Serve as an integral member of a cross-functional engineering team that delivers solutions unlocking machine learning for Nike.
• 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.
• Track model accuracy, performance, relevance, and reliability.
• Apply a variety of machine learning and collaborative filtering methods to data sets.
• Aid in building APIs and software libraries that support the adoption of models in production.
• Leverage your prior experience and knowledge of industry trends to develop new and innovative solutions.
• Stay current with industry trends and recommend relevant technologies & products in the areas of Analytics, Machine Learning, Artificial Intelligence, and Data Science tools.
• Embrace and embody Nike’s core values in your work and interactions with peers and stakeholders.

What You Bring

• Bachelor’s Degree or a combination of relevant education, training, and experience.
• Understanding of Machine Learning, its applications, and the lifecycle of an ML application in production.
• Ability to articulate the role of MLOps in model development from experimentation to production and measurement.
• Experience working in and/or collaborating with a partial or fully distributed team.
• Understanding of data structures, algorithms, and data solutions.
• Experience in applying Python (or another language commonly used in the field of ML, such as Scala, Julia, C++) and SQL to ML and/or software and data engineering tasks.
• Familiarity with ETL, ML, or analytics technologies such as Scikit-learn, Pandas, OpenCV, NumPy, TensorFlow, or similar platforms and frameworks.
• Awareness of data science platforms (like Databricks or SageMaker), distributed engines (like Spark and AWS cloud), and CI/CD pipelines and containerization are preferred.
• Fluency in the application of open-source technologies and the potential of standardized platforms in the area of Data Science, AI, & ML.
• Nice to have: an interest in the potential of Generative AI to accelerate common development and data science tasks, or the deployment of Generative AI solutions in the enterprise.

Benefits

Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. Benefits include:

• Employee Assistance Program
• Employee Stock Purchase Plan (ESPP)
• Holidays
• Medical Plan
• Paid Time Off (PTO)
• Product Discounts
• Sabbaticals

Location

This position is open to remote work except in South Dakota, Vermont, and West Virginia. The annual base salary for this position ranges from €82,900 to €185,700, depending on location, qualifications, skills, and experience.

Join us in our mission to bring inspiration and innovation to every athlete* in the world. Nike, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.