AIML - Software Engineer, Siri and Information Intelligence

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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 mindset. 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 mindset is essential. Specific responsibilities include: * Develop Siri features end-to-end, including proactively collaborating with XF teams as needed for progression. * Work with multiple teams across the organization to gain a deep understanding of the Siri architecture. * Develop systems that are highly reliable, scalable, but surprisingly easy to maintain. * Be actively involved in collaborating on product direction, giving feedback in the right way to the team, and bringing new issues up in a safe way for team discussion.
  • B.S. or M.S. degree in Computer Science, or equivalent experience
  • In-depth development experience with C, Objective C and/or C++
  • Excellent algorithm and data structure skills (time and space complexity analysis, optimization, etc.)
  • Strong object-oriented programming and design skills, at both the systems level and application level
  • Proven ability 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
  • Passionate about creating phenomenal products and experiences for our users
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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