Overview
USD 139,500.00 - 258,100.00 per year
Full Time
Skills
HCI
FOCUS
Evaluation
Research
Interfaces
SAP BASIS
IOS Development
UI
Collaboration
Computer Science
Software Development
Mobile Devices
Management
Human-computer Interaction
Machine Learning (ML)
Payments
Job Details
We're seeking a ML Research Engineer to join the UI Understanding team within AIML. The UI understanding team tackles challenges at the intersection of ML and HCI, with a focus on automated understanding, interaction, evaluation and generation of graphical user interfaces of all kinds across all Apple platforms. Research Engineers in our team collaborate with ML Research Scientists, Software Engineers, and other specialists to tackle significant technical and human-centered challenges, develop and deploy technologies using Machine Learning, and collaborate with partner teams across Apple to ship internal tools and external products.
Description We are building machine learning technologies to understand, interact with, evaluate and generate user interfaces. These technologies integrate into a variety of Apple products and services. Our technologies were the basis for the Screen Recognition feature in iOS 14 and have since been integrated into a variety of products and services across Apple. You'll work closely with the rest of the team to implement and deliver UI Understanding technologies into several tools and products. You will have the opportunity to collaborate with and impact multiple teams across the company, and through those teams, millions of Apple users.
Minimum Qualifications
Preferred Qualifications
Pay & Benefits 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 $139,500 and $258,100, 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 .
Description We are building machine learning technologies to understand, interact with, evaluate and generate user interfaces. These technologies integrate into a variety of Apple products and services. Our technologies were the basis for the Screen Recognition feature in iOS 14 and have since been integrated into a variety of products and services across Apple. You'll work closely with the rest of the team to implement and deliver UI Understanding technologies into several tools and products. You will have the opportunity to collaborate with and impact multiple teams across the company, and through those teams, millions of Apple users.
Minimum Qualifications
- Ph.D. in Computer Science or related field, or equivalent experience
- 3+ years practical experience in software development
- Experience engineering production software systems on mobile devices; especially on Apple platforms
- Ability to be self-directed and handle competing demands from multiple simultaneous projects
- Experience in building early stage products, and making them robust and scalable
Preferred Qualifications
- Ph.D. specialization in either Human-Computer Interaction or Machine Learning
Pay & Benefits 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 $139,500 and $258,100, 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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.