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Nike

Senior Software Engineer - AL/ML Platforms

Not specifiedEngineering & technologyNot yet verified

Beaverton, Oregon, US

Original posting date
Oct 28, 2026
Last checked
Not recorded
Last seen
Nov 2, 2026

Saved job description

WHO WE ARE LOOKING FOR

We are looking for a Software Engineer to design and implement core components of our data science services and platform and scale it to serve Nike globally. The focus of this engineer will be at the intersection of computer systems and machine learning. You will also work collaboratively with the data science and analytics teams to ship scalable, performant and reliable solutions.

WHAT YOU WILL WORK ON

As a Software Engineer in AI/ML Platforms, you will be part of a fast-paced engineering team developing services and platform that drive AI/ML at Nike.  AI/ML is used in Nike to accelerate its digital transformation and real-time data-based decision-making capabilities. The focus is to leverage AI/ML technology to improve the user experience by using personalization, recommendation, smart search, digital demand sensing and scheduling techniques. These enhancements will be used to power consumer experiences on  nike.com , Nike App, Nike SNKRS App as well as product innovation, supply chain, and logistics.

This Software Engineer will develop and/or implement services and paved-path solutions to enable data scientists and ML engineers at Nike. These services will enable and accelerate model training, model serving and model management.  Additionally, they will evaluate new AI/ML platform services and capabilities for possible long-term approaches, and work with the user community to anticipate services and platform needs required to support algorithm development, model training, model management, data engineering and model serving.  Lastly, they will advance and improve development practices with the engineering team through participation in architecture, technical design and code reviews

WHO YOU WILL WORK WITH

You'll be working with Agent Developers, Data Scientists, ML Engineers, and Product teams to identify and deliver platform capabilities to accelerate and streamline the delivery and maintenance of ML use cases. Additionally, you’ll work with teams integrating ML capabilities into Nike experiences and business applications.  This position reports to the Director of AI/ML Tech Platforms. 

WHAT YOU BRING

Bachelor’s degree in Computer Science or a related field; will accept any suitable combination of education, experience, and training

Strong Computer Science fundamentals

At least 5 years of professional software development experience

Ability to design, build, and manage a technical feature or capability

Programming experience with at least one modern language such as Java, Python, Golang

Experience with Infrastructure as Code / Dev Ops practices and technologies like Terraform

Experience with Cloud services (e.g. AWS Cloud EC2, S3, DynamoDB, Azure Cloud, etc.)

Experience developing and using microservices

Excellent written and oral communication skills on both technical and non-technical topics

Knowledgeable on AIML / machine learning concepts (ML Serving / ML Training, GenAI / Agents, RAG, A/B Testing, Model Experimentation, MCP)

Platform experience: Authentication, CICD, Observability

Experience with Big Data technologies (e.g., Spark)

Position Location & Schedule 

This position is based at our incredibly beautiful worldwide campus headquarters location in Beaverton, Oregon. You'll work a "4/1 hybrid" schedule - Mondays - Thursdays are in the office and it's optional if you'd like to work Fridays from the Nike campus office or your home office. 

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 .

Location & listing notes

Locations describe the saved posting and do not confirm residence eligibility. Confirm qualifications, travel, restrictions, and availability with the employer.

Source-listed locations: US, Beaverton, Oregon, 97005, 1 Bowerman Drive.

Listed states: OR.

This saved listing has not passed full current-posting verification.

Work arrangement has not been established; do not assume this is a remote role.

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