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Apple AIML - Software Development Engineer MLPT United States, California, Cupertino 16020592
06.06.2024
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Description
As a software engineer on the Training Platform team, you have the following responsibilities:- Contribute to the architecture, design, development, and operations of large-scale systems designed for machine learning. These may include, but not limited to: data management systems, data engineering workflow systems, distributed compute systems, and their web portal & web service components.- You will help build the platform upon which other teams will develop data pipelines and machine learning applications.- Be able to learn and stay on top of current technologies and apply them in the job.
Minimum Qualifications
- Experience with delivering user experiences in the form of Web Services built using Java and SpringBoot
- Experience with developing and deploying on a Kubernetes based infrastructure is required
- Experience running reliable production services with focus on observability and monitoring
Preferred Qualifications
- A passion for data engineering, search and information retrieval
- Experience with BigData ecosystem Spark, Flink or equivalent is desired
- Experience with Solr, Lucene or OpenSearch is desired
- Experience with delivering analytics backend services is a huge plus, where exposure to query engines like Trino or equivalent is desired
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 $170,700 and $300,200, and your base pay will depend on your skills, qualifications, experience, and location.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 take affirmative action to ensure 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.
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