SWE - Sr ML Infrastructure Engineer, Siri User Experience Metrics and Data
SWE - Sr ML Infrastructure Engineer, Siri User Experience Metrics and Data
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Salary Not Disclosed
1 Vacancy
Job Description
- 7 years of development experience and Bachelors or Masters degree in Computer Science or 5 years development experience and PhD in Computer science or related field with at least 3 years focused on large-scale machine learning infrastructure
- Proficient in Python with solid knowledge of software design principles.
- Expertise in designing and implementing distributed systems or data pipelines (e.g. Spark Flink Kafka Airflow) and knowledge of SQL to analyze data and derive insights.
- Experience with ML lifecycle tools (e.g. MLflow Metaflow Kubeflow SageMaker Vertex AI).
- Hands-on experience with container orchestration and cloud-native services (e.g. Kubernetes Docker AWS/GCP/Azure).
- Leadership experience including being a technical lead for complex cross functional development projects demonstrating good technical judgement and prioritization skills. Strong communication skills and a proactive ownership-driven mindset.
- Prior experience architecting ML platforms or Feature Stores in a fast-paced production environment.
- Experience with real-time model serving and streaming pipelines (e.g. Kafka Flink Ray Serve Triton).
- Experience optimizing GPU and CPU resource allocation for training and inference workloads.
- Experience with any ML authoring framework (PyTorch TensorFlow JAX etc.) particularly on-device ML frameworks such as CoreML TFLite or ExecuTorch.
Required Experience:
Senior IC
Employment Type
Full Time
