ISE, Input Experience - ML Software Eng., SUM (Sensor Understanding and Modeling) at Apple (Cupertino, CA)
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Location: Cupertino, CA
Type: Full Time
Created: 2021-06-24 05:00:56
Are you interested in building user facing input experiences that touch the lives of billions of users utilizing state-of-the-art signal processing and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven experiences? Our input experience NLP team is looking for a full-stack ML engineer. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally with teams spanning domains of multiple text input modalities. Our team is involved with: research, development and delivery of on-device ML applied to text input experience across all Apple platforms. Our team is directly responsible for shipping innovative input experiences such as QuickPath, QuickType across several languages and platforms. We are looking to grow our team by welcoming a talented ML software engineer to contribute to future versions of machine learning driven text input experience on iOS, iPadOS, macOS, watchOS and tvOS. Experience writing production quality C++, ObjC or Swift code, and passion to innovative and incorporate machine learning technologies into end-user features is essential for this position. Excellent fundamentals on data structures and algorithms will be propitious for this role.As a member of the team, you will work with a multi-faceted team of machine learning and software specialists to develop next generation input experiences using touch and other on-device sensors on Apple Platforms. The position will involve all aspects of the use of Machine Learning technologies in software, including design, prototyping, implementation, algorithms, correctness, user experience, and performance. You will be a key member of our team that delivers the Machine Learning intelligence behind keyboard input on the worlds most advanced mobile operating system. You will gain exposure to state-of-the-art technologies in machine learning and NLP, and your work will have a direct impact on millions of Apples customers.