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# Staff / Sr. ML Engineer, Indexing Infrastructure

- **Company:** Apple Inc.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Query Performance, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, BigTable, Cloud Engineering, Databases, Extract Transform Load (ETL), Data Structures, Distributed Systems, MapReduce, Apache HBase, Machine Learning, Metadata, Workflow Management Systems, Parquet, Data Processing, Apache Spark, Multi-Cloud, Indexer, Kubernetes, Information Technology, Cassandra, Integration Frameworks, Software Coding
- **Published:** November 2, 2026
- **Apply:** https://www.dice.com/job-detail/7e37f6ee-3831-4ef1-b4c1-eb4856366e8c

## About the Role

Strong coding skills and a solid computer science background in algorithms, data structures, and distributed systems

5+ years experience designing, building, and operating large-scale distributed systems such as databases, storage platforms, or data processing frameworks

Hands-on experience with petabyte-scale batch data processing (MapReduce, Spark, or similar)

Proficiency in cloud-native architectures and compute orchestration on AWS (S3, EC2, EKS) and Kubernetes

Excellent interpersonal skills, with the ability to work independently and drive cross-team efforts

MS or PhD in Computer Science or related field

Preferred Qualifications

Deep familiarity with columnar and lakehouse formats (Parquet, Iceberg), and the judgment to choose between them at scale

Experience with storage internals: compaction, metadata and manifest management, indexing, and query performance tuning

Experience with workflow orchestration (e.g., Argo) and resource scheduling on shared Kubernetes clusters

Experience with key-value or online serving stores (e.g., Bigtable, HBase, Cassandra) and multi-cloud data movement

Experience with search indexing, machine learning, or NLP is a plus