Senior / Staff Software Engineer (MLOps) - Apple Data Platform
Senior / Staff Software Engineer (MLOps) - Apple Data Platform
Posted on :
31-08-2025
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1 Vacancy
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Job 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. Youll work with cross-functional partners and internal product teams to deliver reliable scalable and easy-to-use infrastructure that accelerates model development and deployment.
- 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
- 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
Required Experience:
Staff IC
Employment Type
Full-Time
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