Summary
Would you like to play a part in shipping groundbreaking technology for large scale systems, natural language, and artificial intelligence? You will be providing the foundations by building maintaining and developing frameworks to make Siri and other AIML related products more testable for existing and new features, integrating products and frameworks that can interact with, propose new innovative, challenging and scalable solutions to support our automation infrastructure across multiple multi-functional teams that help drive the sustainability and quality of AIML products.

Key Qualifications
6+ years as Software Development Engineer.
4+ years of Designing and Architecting tools and frameworks.
Experienced in Machine Learning.
Excellent leadership in driving the development of tools and frameworks driven towards excellence in quality.
Shown problem solving and debugging skills: analyze and investigate test failures, errors, and build issues, able to accurately drive issues to completion and support issues with data.
Excellent verbal and written communications skills.

Description
The Machine Learning Systems and Evaluation Engineering (MLSEE) team is developing frameworks and tools for making Siri and other AIML related products more testable across all the OS stack. As a result, we need to keep a continuous development of our tools and frameworks that guarantee the testability and scalability of Siri and AIML products for automation. The role is to design architectures that help integrate keeping the pace on a very dynamical environment, build all vital APIs, frameworks and libraries so that Development and Evaluation teams can benefit from it for writing their tests, support features and evaluate them. Ensure the scalability and sustainability of the framework to solve new challenging problems that currently exists and that will come as the continuous growth and support of Apple features and products.

Education & Experience
BS or MS Degree in Computer Science or equivalent work experience

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