Software Engineer, Siri Attention And Invocation

Play a part in the next revolution in human- computer interaction. Collaborate with software engineers as well as machine learning engineers/ scientists in several technical areas spanning the entire range of Siri's capabilities (speech recognition, natural language understanding, dialogue management). Have the opportunity to innovate, create groundbreaking technology, build prototypes of user-facing features and magical experiences, and work with a cross-functional team to ship these magical experiences to millions of users. The Siri Team is looking for someone with a combination of strong programming skills and a creative, user-focused approach. This role would take Siri to the next level of intelligence and accuracy by using advanced statistical techniques to improve the quality of customer features. This involves working on core machine learning algorithms and systems that are part of Siri's ability to understand and respond to requests. You should be able to thrive in a fast-paced environment with rapidly-changing priorities and technology stacks. A thirst for designing new technology with a user-first approach is crucial. Minimum Qualifications: Proficiency in object oriented programming (e.g. Swift, C , or Objective-C) Excellent algorithm and data structure skills (time and space complexity analysis, optimization, etc.) Proven to quickly learn and modify large, existing code base Passion for building demo prototypes and turning them into production quality design/implementation Strong communication skills to work well with cross-functional engineering teams Excellent problem solving and critical thinking, good at seeing the big picture Ability to work in a fast-paced environment with rapidly changing priorities Enthusiasm for learning and applying data science and machine learning on the job Preferred Qualifications: B.S. or M.S. degree in Computer Science, or equivalent experience Passion for high-quality software and excellent user experience Experience with voice assistant technologies or conversational AI systems Background in signal processing, natural language processing, or related fields