Open to remote work except in South Dakota, Vermont and West Virginia. The annual base salary for this position ranges from $82,900.00 in our lowest geographic market to $185,700.00 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. This posting is for two positions within the Enterprise AI/ML function. WHO ARE WE LOOKING FOR We seek passionate engineers to join our team! As a Machine Learning Engineer, you will develop robust advanced analytics and machine learning solutions that have a direct impact on the Supply Chain infrastructure. 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 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. You will report to the director of Supply Chain AI/ML Engineering. WHAT YOU BRING <ul><li>Bachelor's degree in Computer Science, or combination of relevant education, experience.</li><li>1-3 years of professional experience in software engineering, data engineering, machine learning, or related field</li><li>A demonstrated problem solving and analytical mindset</li><li>Ability to write robust, maintainable, and extendable code in Python; containerized in Docker, and automated with CI/CD</li><li>Experience with agile development and test driven development</li><li>Understanding of data structures, data modeling and software architecture</li><li>Experience with data sets, ETL pipelines, SQL, and general data engineering</li><li>Exposure to MLOps, API development, or mathematical optimization are highly desirable</li><li>Experience with cloud architecture and technologies, in particular Amazon Web Services</li><li>Experience with technologies like Spark, Kubernetes, Docker, Jenkins, Databricks, Terraform is also highly desirable</li><li>Effective communication skills (with team members, the business, and in code)</li></ul>

This posting is for five Lead ML Engineer positions within the Enterprise AI/ML function. WHO ARE WE LOOKING FOR We seek passionate engineers to join our team. As a Lead 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 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 <ul><li>Bachelor's degree in Computer Science, or combination of relevant education, experience.</li><li>5+ years of professional experience in software engineering, data engineering, machine learning, or related field</li><li>Strong analytical mindset and experience leading others in problem solving</li><li>Experience working in a team to write robust, maintainable, and extendable code in Python; containerized in Docker, and automated with CI/CD</li><li>Expertise with agile development and test driven development</li><li>Expertise with data structures, data modeling and software architecture</li><li>Experience with complex data sets, ETL pipelines, SQL, and general data engineering</li><li>Expertise in MLOps, API development, or mathematical optimization are highly desirable</li><li>Expertise with cloud architecture and technologies, in particular Amazon Web Services</li><li>Expertise with technologies like Spark, Kubernetes, Docker, Jenkins, Databricks, Terraform is also highly desirable</li><li>Effective communication skills (with team members, the business, and in code)</li><li>Experience providing technical leadership within a team and mentorship to others</li></ul>

Open to remote work except in South Dakota, Vermont and West Virginia. The annual base salary for this position ranges from $82,900.00 in our lowest geographic market to $185,700.00 in our highest geographic market. Actual salary will vary based on a Supply Chain, Machine Learning, Engineer, Data Engineer, Supply, Cloud Architect, Retail

This posting is for five Lead ML Engineer positions within the Enterprise AI/ ML function. WHO ARE WE LOOKING FOR - We seek passionate engineers to join our team. As a Lead Machine Learning Engineer, you will develop robust advanced analytics and mac Machine Learning, Supply Chain, Engineer, Data Engineer, Leadership, Cloud Architect, Retail

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. Information about benefits can be found here. Who we are looking for Nike is looking for a Lead Machine Learning Engineer to join our growing team. This role is part of a squad within Enterprise Data & AI Consumer AI/ML team, that is responsible for building solutions that will transform the customer experience in Nike Digital Platform. Playing a key role in the development of digital tools, processes, and experiences, the ideal candidate is a problem-solver who is motivated to learn new technologies, communicate ideas and knowledge, and collaborate with teammates. You will work with a cross-functional team to build solutions that will transform the customer experience in Nike Digital Platform. You need to be able to work with ambiguity and abstract requirements, developing features quickly in a team context, balancing speed with quality. Above all, your work will accelerate Nike's core mission of serving Athletes* WHO WILL YOU WORK WITH? Our team has Machine Learning Engineers, Software Engineers, and Data Scientists. You will work day-to-day with your peer Machine Learning Engineers, Software Engineers, Product Management and other squad team members to achieve business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals. WHAT YOU WILL DO <ul><li>Apply machine learning, collaborative filtering, NLP, and deep learning methods to massive data</li><li>Provide technical leadership, establishing standards and principles for your team to follow.</li><li>Support investigation of new software packages/tools, APIs, and algorithms to deliver quality analytics and machine learning at scale</li><li>Collaborate with a cross functional agile team of software engineers, data engineers, ML experts, and others to build new product features</li><li>Contribute to all processes of the ML lifecycle: data collection, annotation, modeling, evaluation, deployment, and monitoring</li><li>Write production-quality code for ML models as online services and APIs</li><li>Present complex analyses clearly and concisely</li><li>Ability to build collaborative relationships with peers and multi-functional partners</li><li>Provide support by writing documentation and tutorials as well as providing guidance to users with a variety of technical skills.</li></ul> WHAT YOU BRING <ul><li>Bachelor's Degree or higher in Statistics, Computer science or a combination of relevant education, training, and experience</li><li>Advanced degrees a plus (PhD, Masters, etc.)</li><li>5+ plus years of experience in enterprise environment with a combination of technology and team leadership responsibilities. </li><li>Expertise with Python, Spark, or Java</li><li>This role requires strong leadership skills to mentor and guide a team of Machine Learning Engineers. Must have a balance of technical expertise, strategic planning, and team management to ensure project execution and workforce optimization. </li><li>Expertise in building and productionalizing large scale consumer facing ML models</li><li>Designed, built and shipped applications that scale and implementing best practices in ML Ops and CI/CD to build state of the art ML models</li><li>Proficient at writing good quality, well-documented and tested, scalable code - Python preferred. Experience with tools like mlFlow, Airflow, Docker and Cloud Platforms such as AWS/GCP is ideal. Experience deploying, monitoring and maintaining data science products in cloud environments such as AWS</li><li>Knowledge of techniques for model compression, quantization, and optimization for deployment in resource-constrained environments.</li><li>Experience with data processing and storage frameworks like S3, Spark, Dynamo, etc.</li></ul>

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 Machine Learning, Software Engineer, Engineer, Data Engineer, AI, Remote, Retail

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data, and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate, and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary, and collaborative, taking technology into the future and bringing the world with it. WHO WE ARE LOOKING FOR: The Artificial Intelligence and Machine Learning Group applies machine learning to problems at Nike. We develop fundamental technologies, do applied research and development, and deliver to production to enable AI/ML across Nike. The ideal intern candidate is a leader with a demonstrated interest in developing complex data solutions and working on end-to-end solution design. You are a passionate, data enthusiast who loves finding relationships between disparate data sets and clarity in a muddied data environment and are continually learning as well as finding opportunities to share knowledge with others. The person we're searching for gets energized and excited by the challenge of building things from the ground up, loves to think out of the box, and brings to bear the latest technologies in statistical, unsupervised, supervised, and Artificial Intelligence (AI) models to achieve organizational goals. WHAT YOU'LL EXPERIENCE: Our goal for the Data & Machine Learning Engineering Internship is to provide an incredible and unique experience, showing what it is like to be at Nike full-time. As a Data Engineer, you will apply machine learning and engineering expertise to improve existing algorithms and understand and be able to leverage core concepts of AI/ML to research and develop new algorithms. You will collaborate in multi-functional teams to support other groups who will also be working on science or science-engineering-related work. Intern Project Examples Include: <ul><li>Keep Nike on the offensive by integrating Machine Learning within our technologies to identify and resolve incidents faster and more efficiently.</li></ul> <ul><li>Scale Nike's innovation teams and our sustainability goal of moving to zero waste through the use of computer vision, code, agile methodologies, and robotics.</li></ul> <ul><li>Ensuring people with disabilities have equitable access to Nike's Technology using Artificial Intelligence.</li></ul> Curious to know what it's like to be part of a world-class Internship Program? Check out our recap video from last summer: Nike Internship Program Recap Video This internship - as well as most full-time positions - is located in person at the NIKE, Inc. World Headquarters in Beaverton, OR. Check out this video of our World Headquarters to learn more about life on campus: Nike WHQ Campus Video WHAT YOU WILL BRING: Qualifications: <ul><li>Enrolled in an undergraduate program in computer science, mathematics, statistics, or related technical subject area with an expected graduation date between Winter 2025 or Spring/Summer 2026</li></ul> <ul><li>0-2 years work experience</li></ul> <ul><li>Resume submission (PDF) Required</li></ul> Technical Skills: <ul><li>Knowledge of Python, SQL, Tableau</li></ul> <ul><li>Knowledge of AI/ML techniques such as neural networks, tree ensembles, regressions, etc.</li></ul> <ul><li>Deep understanding of data structures and algorithms</li></ul> <ul><li>Deep understanding of solution and technical design</li></ul> <ul><li>Strong problem-solving, debugging, testing, and analytical skills</li></ul> <ul><li>Ability to quickly pick up new programming languages, technologies, and frameworks</li></ul>

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data, and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate, and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary, and collaborative, taking technology into the future and bringing the world with it. WHO WE ARE LOOKING FOR: The Artificial Intelligence and Machine Learning Group applies machine learning to problems at Nike. We develop fundamental technologies, do applied research and development, and deliver to production to enable AI/ML across Nike. The ideal intern candidate is a leader with a demonstrated interest in developing complex data solutions and working on end-to-end solution design. You are a passionate, data enthusiast who loves finding relationships between disparate data sets and clarity in a muddied data environment and are continually learning as well as finding opportunities to share knowledge with others. The person were searching for gets energized and excited by the challenge of building things from the ground up, loves to think out of the box, and brings to bear the latest technologies in statistical, unsupervised, supervised, and Artificial Intelligence (AI) models to achieve organizational goals. WHAT YOULL EXPERIENCE: Our goal for the Data & Machine Learning Engineering Internship is to provide an incredible and unique experience, showing what it is like to be at Nike full-time. As a Data Engineer, you will apply machine learning and engineering expertise to improve existing algorithms and understand and be able to leverage core concepts of AI/ML to research and develop new algorithms. You will collaborate in multi-functional teams to support other groups who will also be working on science or science-engineering-related work. Intern Project Examples Include: Keep Nike on the offensive by integrating Machine Learning within our technologies to identify and resolve incidents faster and more efficiently. Scale Nikes innovation teams and our sustainability goal of moving to zero waste through the use of computer vision, code, agile methodologies, and robotics. Ensuring people with disabilities have equitable access to Nikes Technology using Artificial Intelligence. Curious to know what its like to be part of a world-class Internship Program? Check out our recap video from last summer: Nike Internship Program Recap Video (https://vimeo.com/1004145107) This internship as well as most full-time positions is located in person at the NIKE, Inc. World Headquarters in Beaverton, OR. Check out this video of our World Headquarters to learn more about life on campus: Nike WHQ Campus Video (https://players.brightcove.net/6163289603001/default_default/index.html?videoId=6286793274001) WHAT YOU WILL BRING: Qualifications: Enrolled in an undergraduate program in computer science, mathematics, statistics, or related technical subject area with an expected graduation date between Winter 2025 or Spring/Summer 2026 0-2 years work experience Resume submission (PDF) Required Technical Skills: Knowledge of Python, SQL, Tableau Knowledge of AI/ML techniques such as neural networks, tree ensembles, regressions, etc. Deep understanding of data structures and algorithms Deep understanding of solution and technical design Strong problem-solving, debugging, testing, and analytical skills Ability to quickly pick up new programming languages, technologies, and frameworks 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, protected veteran status, or disability. NIKE is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call +1 503-671-4156 and let us know the nature of your request, your location and your contact information.

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