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Apple Lead ML Engineer Siri AI Quality Engineering United States, West Virginia 353536561
04.09.2025
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In this role, you will apply your expertise in ML, data analysis, and software engineering to drive the strategy and execution of large-scale evaluation efforts for Siri’s most sophisticated features. You will collaborate with top engineering, design, and product teams to define quality standards, build automated evaluation pipelines, and deliver insights that guide Siri’s development across iPhone, Mac, iPad, Watch, HomePod, Vision Pro, and more.
- 10+ years of proven experience in the relevant space
- 3+ years demonstrated ability in machine learning, including hands-on work with LLMs
- Strong programming skills in Python and experience with ML/NLP libraries
- Experience building or fine-tuning LLMs for software engineering tasks
- Understanding of prompt engineering, and retrieval-augmented generation (RAG)
- Experience developing LLM based automated evaluation frameworks
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Experience in Swift/XCTest/XCUITest is preferred
- Excellent problem-solving, analytical, and debugging skills
- Experience working with large-scale datasets, infrastructure, and/or data formats (e.g., JSONL, protobuf)
- Experience with large-scale data processing (e.g., Spark, Hadoop) is a plus
- Comfortable working in a fast-paced, collaborative environment with shifting priorities
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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