Senior / Staff Software Engineer (MLOps) - Apple Data Platform
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.
Responsibilities
- Design, implement, and maintain end-to-end ML pipelines from data ingestion to model deployment and monitoring
- Build and optimize automated training, validation, and deployment workflows that support rapid experimentation and production releases
- Develop robust monitoring and alerting systems to ensure model performance, data quality, and system reliability
- Create self-service tools and platforms that enable ML teams to deploy and manage models independently
- Implement security and privacy controls throughout the ML lifecycle, ensuring compliance with Apple's high standards
- Collaborate with diverse teams including accessibility specialists to ensure ML tools are usable by team members with varying abilities
- Drive infrastructure cost optimization and resource efficiency across ML workloads
- Establish best practices for model governance, including versioning, rollback strategies, and A/B testing frameworks
- Build documentation and training materials that support teams with different technical backgrounds
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Minimum Qualifications
- 5+ years of experience in MLOps, DevOps, or related infrastructure roles
- 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)
- BS, MS in Computer Science, Software Engineering, Machine Learning, or equivalent degree with applicable experience
Preferred Qualifications
- 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
- Proficient knowledge of Git and collaborative development workflows
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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 .
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