ML Engineer I: Cloud-Native ML & Production Pipelines

Nike; Beaverton (OR); On-site; USD 95,000 - 135,000; Full time

Benefits offered by this job

Interview accommodations

Accessible interview process

Sign language interpreters

Job summary

Nike, Beaverton, OR, is seeking an ambitious Software Engineer I – Machine Learning/AI to join Global Technology. You will collaborate with ML/AI stakeholders and build cloud-native ML solutions that impact Nike's digital channels, with a focus on production-grade systems.

Work with Python, AWS SageMaker, Docker, and modern ML frameworks to design, train, and deploy models, while ensuring responsible AI and scalable data pipelines.

Qualifications

• Bachelor's degree in information technology, computer science or related field, or suitable mix of education/experience.
• 1+ years’ experience building and deploying ML models in production with Python and at least one major ML framework.
• Strong communication skills to translate business goals into technical requirements.
• Experience with data pipelines and distributed systems (e.g., Spark, Airflow) to support ML workflows.
• Experience delivering production-grade LLM/agent workflows, including tool calling, orchestration, and retrieval-augmented generation.
• Ability to collaborate across functions with ownership and a collaborative mindset.
• Experience with CI/CD, testing strategies, and safe rollout patterns.

Responsibilities

• Build and deploy ML models that improve recommendations, ranking, and personalization.
• Own problems end-to-end from data exploration to production deployment.
• Develop scalable ML pipelines using Spark and Airflow.
• Apply modern ML frameworks to design, train, and optimize models in production.
• Contribute to experimentation frameworks including A/B testing and offline evaluation.
• Collaborate with Product and Engineering to translate questions into ML solutions.
• Ensure responsible AI practices, fairness, transparency, and safety in development.
• Take ownership of delivering high-quality solutions from insight to impact.

Skills

Communication skills

Python

ML in production

Agile mindset

Education

Bachelor's degree in IT/CS

Tools

AWS SageMaker

Docker

Spark

Airflow

PyTorch

TensorFlow

FastAPI

Job description

Nike, Beaverton, OR, is seeking an ambitious Software Engineer I – Machine Learning/AI to join Global Technology. You will collaborate with ML/AI stakeholders and build cloud-native ML solutions that impact Nike's digital channels, with a focus on production-grade systems.

Work with Python, AWS SageMaker, Docker, and modern ML frameworks to design, train, and deploy models, while ensuring responsible AI and scalable data pipelines.