Software Engineering Lead for Machine Learning Platforms
3 weeks ago
We're seeking a skilled software engineer to join our Training Platform team. As a key member of this team, you'll contribute to the architecture, design, development, and operations of large-scale systems designed for machine learning. These may include data management systems, data engineering workflow systems, distributed compute systems, and their web portal & web service components. You'll partner with data scientists and machine learning engineers across different Apple organizations to define high-impact product features and deliver them with quality.
Your Key Responsibilities
Contribute to the architecture, design, development, and operations of large-scale systems designed for machine learning. Partner with data scientists and machine learning engineers across different Apple organizations to define high-impact product features and deliver them with quality. Develop and deploy Web Services built using Java and SpringBoot. Experience with developing and deploying on a Kubernetes-based infrastructure is required. Run reliable production services with focus on observability and monitoring. Passion for data engineering, search, and information retrieval is essential.
Our Ideal Candidate
To be successful in this role, you'll need a bachelor's degree in Computer Science or equivalent industry work experience. Experience with BigData ecosystem Spark, Flink, or equivalent is desired. Experience with Solr, Lucene, or OpenSearch is desired. Delivering analytics backend services is a huge plus, where exposure to query engines like Trino or equivalent is desired. Masters or a PhD in Computer Science, or equivalent industry work experience, is preferred.
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