Staff Software Engineer
Apple's Data Platform powers the machine learning, AI, and data services that enable intelligent experiences across Apple products. As a Software Engineer focused on MLOps, you'll help build the unified orchestration layer that powers large-scale data and ML workflows across the company. Leveraging cutting-edge open source technologies such as Ray and Spark, you'll design and implement scalable systems that enable Apple teams to train models, analyze data, and deploy AI at Apple scale with strong governance. This is an opportunity to shape the future of ML infrastructure and have a direct impact on the experiences used by millions of people every day.
Description
As a Software Engineer on the Apple Data Platform team, you will design and develop orchestration systems that enable real-time, offline, and batch workflows for AI, ML, and data workloads across Apple. You'll work with cross-functional partners and internal product teams to deliver reliable, scalable, and easy-to-use infrastructure that accelerates model development and deployment.
Want more jobs like this?
Get jobs in Cupertino, CA delivered to your inbox every week.
Preferred Qualifications
Experience with React, NodeJS and ES6 concepts
Experience with a modern front-end build tool, e.g. Webpack
End-to-End Web application development experience.
Good knowledge of APIs and REST architecture
Proficient knowledge of Git and collaborative development workflows
Minimum Qualifications
5+ years of experience in MLOps, DevOps, or related infrastructure roles
Experience working in cross-functional teams and communicating technical concepts to diverse audiences
Experience designing, building, and maintaining ML infrastructure and deployment pipelines using containerization technologies (Docker, Kubernetes preferred) and cloud platforms (AWS, Azure, or GCP)
Proficient coding skills in Python, Go, or Scala with experience in ML frameworks (TensorFlow, PyTorch, MLflow, Kubeflow)
Strong experience with Infrastructure as Code (Terraform, CloudFormation) and CI/CD tools (Jenkins, GitLab CI, GitHub Actions)
Proficiency in monitoring and observability tools (Prometheus, Grafana, ELK stack) for ML model performance and system health
Experience with data pipeline orchestration tools (Airflow, Prefect, Dagster) and streaming platforms (Kafka, Kinesis)
Knowledge of ML model versioning, experiment tracking, and feature stores (MLflow, Weights & Biases, Feast)
Experience with automated testing frameworks for ML systems, including data validation and model testing
Understanding of security best practices for ML systems and data governance
Excellent grasp of software engineering fundamentals and DevOps practices
BS, MS in Computer Science, Software Engineering, Machine Learning, or equivalent degree with applicable experience
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
Company Videos
Hear directly from employees about what it is like to work at Apple.