Do you want to 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 and builds tools, that will delight and inspire millions of people. You will drive the quality of our internal AIML products and tools, collaborate with development teams around 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.

DESCRIPTION

This role will develop, as a Build and Integration Software Engineering, a number of solutions required to deliver successful AIML products. These include building new tools and develop new processes to improve the efficiency and effectiveness of our projects utilized for ML based products. This role requires building and implementing all necessary tools, APIs and infrastructure for ML based product qualification, defining tracking success metrics to keep our projects healthy. Equally, this role will participate in the AIML iOS products roadmap decisions, contributing insights and recommendations derived from the in-depth understanding of the current success metrics of AIML products.

MINIMUM QUALIFICATIONS

• Proven technical expertise in software development with Java, Python, Swift or Objective-C.
• Experience with designing of Designing and Architecting tools and processes designed for integrating multiple projects with high interdependency.
• Provide multiple metrics that will help understand performances of code quality, build times and success.

PREFERRED QUALIFICATIONS

• Extensive experience working and leveraging cross-functional partnerships.
• Ability to independently learn new technologies in a fast paced environment.
• Excellent understanding of an ML-based product lifecycle.
• Shown problem solving and debugging skills: analyze and investigate failures, errors, and build issues, able to properly drive issues to completion and support issues with data.
• Excellent verbal and written communications skills.
• Possess an outgoing and positive attitude to mobilize and lead others.

Please refer the Job description for details