Apple Inc.
Cupertino, California, United States Software and Services
Description
In this role, you will drive cross-functional programs and feature areas in Siri’s Response technologies across all Apple products. You will partner with engineering management to lead projects through the software development lifecycle from concept to delivery.You should bring solid experience in system software, machine learning, and project management, strong communication and leadership skills, and a track record of driving and delivering multiple complex projects simultaneously. You should demonstrate high integrity, high energy, and feel comfortable in a dynamic and constantly changing environment.As an experienced project leader for various complex and at times highly ambiguous technical projects, you will need to build strong collaborative relationships within the organization as well as cross-functionally, and confidently and calmly manage any conflicts and challenges along the way. You will be responsible for successful outcomes and delivery, driving your projects with a keen eye for important details and communicating clearly on status and risks.If you relish challenge, are passionate about building and delivering phenomenal software products, and are excited by working with a great team in an exciting new technology space, then we want to hear from you - please apply! Minimum Qualifications
5+ years of related experience with a BS/MS, Computer Science / Engineering, or relevant industry experience Experience in a machine learning program or project management Experience and consistent track record leading and shipping multiple complex projects simultaneously Experience driving and delivering critical project features that involve integration with multiple different teams Solid knowledge of software development practices Curiosity and passion for new technologies, and proven ability to quickly understand technical concepts Ability to create and execute plans in ambiguous settings, identifying priorities and driving what matters Excellent communication and presentation skills, written and verbal Excellent collaboration skills, working together with different teams, and fostering trust Ability to thrive in a fast-paced, dynamic work environment Preferred Qualifications
Familiarity or prior experience in any of the following areas is desirable: artificial intelligence, machine learning, and accuracy evaluation. Prior experience in hands-on software or model development is desired. 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 $172,100 and $258,600, 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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In this role, you will drive cross-functional programs and feature areas in Siri’s Response technologies across all Apple products. You will partner with engineering management to lead projects through the software development lifecycle from concept to delivery.You should bring solid experience in system software, machine learning, and project management, strong communication and leadership skills, and a track record of driving and delivering multiple complex projects simultaneously. You should demonstrate high integrity, high energy, and feel comfortable in a dynamic and constantly changing environment.As an experienced project leader for various complex and at times highly ambiguous technical projects, you will need to build strong collaborative relationships within the organization as well as cross-functionally, and confidently and calmly manage any conflicts and challenges along the way. You will be responsible for successful outcomes and delivery, driving your projects with a keen eye for important details and communicating clearly on status and risks.If you relish challenge, are passionate about building and delivering phenomenal software products, and are excited by working with a great team in an exciting new technology space, then we want to hear from you - please apply! Minimum Qualifications
5+ years of related experience with a BS/MS, Computer Science / Engineering, or relevant industry experience Experience in a machine learning program or project management Experience and consistent track record leading and shipping multiple complex projects simultaneously Experience driving and delivering critical project features that involve integration with multiple different teams Solid knowledge of software development practices Curiosity and passion for new technologies, and proven ability to quickly understand technical concepts Ability to create and execute plans in ambiguous settings, identifying priorities and driving what matters Excellent communication and presentation skills, written and verbal Excellent collaboration skills, working together with different teams, and fostering trust Ability to thrive in a fast-paced, dynamic work environment Preferred Qualifications
Familiarity or prior experience in any of the following areas is desirable: artificial intelligence, machine learning, and accuracy evaluation. Prior experience in hands-on software or model development is desired. 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 $172,100 and $258,600, 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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