About the job
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.
Responsibilities
As a key contributor, you will develop Siri features end-to-end, proactively collaborating with XF teams as needed for progression.
You will also work with multiple teams across the organization to gain a deep understanding of the Siri architecture.
This role involves developing systems that are highly reliable, scalable, and surprisingly easy to maintain.
Furthermore, you will be actively involved in collaborating on product direction, providing feedback constructively, and safely bringing new issues up for team discussion.
Qualifications
Minimum
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
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