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AIML - Staff Machine Learning Engineer
AIML - Staff Machine Learning EngineerApple Inc. • Cupertino, CA, United States
AIML - Staff Machine Learning Engineer

AIML - Staff Machine Learning Engineer

Apple Inc. • Cupertino, CA, United States
13 days ago
Job type
  • Full-time
Job description

Cupertino, California, United States Machine Learning and AI

Description

The Apple Knowledge & Information (AKI) Entity Resolution team is looking for senior and staff engineers to lead software projects suffusing knowledge of the user throughout Apple’s products.Building this system requires deep expertise in a myriad of cutting edge fields : search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more. You will be a hands on, technical leader as your team partners with a variety of subject matter experts to design, build, and integrate their components into a seamless platform for creating personalized Siri experiences that surprise and delight.

Responsibilities

  • Engage with leaders and cross-functional partners to define requirements
  • Partner with application developers to build personalized features users love
  • Build entity resolution APIs that Siri application developers love
  • Lead highly cross-functional software projects
  • Mentor junior software engineers
  • Partner with application owners on API design, implementation, and integration
  • Validate new platform features by leading early adoption

Minimum Qualifications

  • 8 years of professional software experience
  • BS in computer science or related fields
  • Experience leading software engineering teams and / or projects
  • Experience designing and shipping novel systems architectures
  • Passion for great products
  • Exceptional software engineering skills
  • Ability to identify similar software solutions and generalize them into libraries / frameworks / platforms
  • Ability to work in a highly collaborative environment
  • Ability and desire to lead a small teams of high impact engineers
  • Preferred Qualifications

  • 5+ years professional experience developing for Apple’s platforms
  • Experience building voice computing systems or subsystems (e.g. ASR, NL, TTS, Voice Assistants, etc)
  • Swift or Objective-C experience preferred (Rust, C++, or similar also acceptable)
  • Experience building machine learning based systems
  • Mobile and / or embedded development experience
  • 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 $212,000 and $386,300, 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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    Staff Machine Learning Engineer • Cupertino, CA, United States

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