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 Siris 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 Siris development across iPhone Mac iPad Watch HomePod Vision Pro and you are a self-motivated individual with a strong analytical mind a keen eye for detail and a desire to make a significant impact on a product used by millions we encourage you to apply!
5 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
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