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Job Location: Cupertino, CA
Summary
Posted: Apr 6, 2022
Weekly Hours: 40
Role Number:200364699
Join Apple, and help us leave the world better than we found it. Play a part in building a groundbreaking technology for large scale systems, natural language, big data, and artificial intelligence? Do you want to improve the user experience of Siri and other AIML products that help millions of people get things done, across the globe? Join the ML Systems Evaluation Engineering (ML SEE) team at Apple! Be part of a highly accomplished team which evaluates AIML products, that will delight and inspire millions of people. You will drive the quality of AIML products and collaborate with the most innovative product development teams in the world. This team designs and builds evaluation tools, automation frameworks and methodologies that enable product teams across Apple to develop machine-learning solutions that power amazingly intelligent user experiences. You will engage with exciting new-product teams around Apple, bringing your expertise and passion for innovation to solving technical problems for our next-generation products.
Key Qualifications
- 7+ years of proven expertise in software development with Java, Python, Swift or Objective-C
- Experience working on large scale products and leveraging cross-functional partnerships
- Ability to independently learn new technologies in a fast paced environment
- Understanding of an ML-based product lifecycle
- Experience with analyzing user behavior and designing test strategies, automation frameworks is a plus
- Demonstrated depth of knowledge and application of statistics-based evaluation methodologies or user success metrics
Description
This role will develop, as an iOS Platform Systems Evaluation Engineering lead, solutions required to deliver successful AIML products. These include design of automation frameworks and methodologies for simulation and evaluation of user experiences for ML based products; evaluation of personalization; scalability of the frameworks across locales. This role provides implementation, feedback and iteration on evaluation systems, frameworks and methodologies for AIML product qualification. This role is responsible for defining and tracking user impact and user success metrics. Equally, this role will participate in the AIML iOS future products roadmap decisions, contributing insights and recommendations derived from the in-depth understanding of the current success metrics of AIML products.
Education & Experience
Bachelors degree or higher in Computer Science or related fields
Additional Requirements
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