{"id":3410667,"url":"https://alion.io/job/nike-senior-software-engineer-alml-platforms","title":"Senior Software Engineer - AL/ML Platforms","company":{"id":1634,"name":"Nike","domain":"nike.com","url":"https://alion.io/company/nike","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":49,"ghost_share":0,"stale_share":0.837,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Beaverton, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":138000,"max_usd":267000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1332},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"DynamoDB","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-28T17:46:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-01T23:17:46Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"WHO WE ARE LOOKING FOR\nWe 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.\nWHAT YOU WILL WORK ON\nAs 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.\nThis 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\nWHO YOU WILL WORK WITH\nYou'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.\nWHAT YOU BRING\nBachelor’s degree in Computer Science or a related field; will accept any suitable combination of education, experience, and training\nStrong Computer Science fundamentals\nAt least 5 years of professional software development experience\nAbility to design, build, and manage a technical feature or capability\nProgramming experience with at least one modern language such as Java, Python, Golang\nExperience with Infrastructure as Code / Dev Ops practices and technologies like Terraform\nExperience with Cloud services (e.g. AWS Cloud EC2, S3, DynamoDB, Azure Cloud, etc.)\nExperience developing and using microservices\nExcellent written and oral communication skills on both technical and non-technical topics\nKnowledgeable on AIML / machine learning concepts (ML Serving / ML Training, GenAI / Agents, RAG, A/B Testing, Model Experimentation, MCP)\nPlatform experience: Authentication, CICD, Observability\nExperience with Big Data technologies (e.g., Spark)\nPosition Location & Schedule\nThis 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.\nWe 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. 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