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iOS Software Engineering Manager, Image Generation

Apple

iOS Software Engineering Manager, Image Generation

Apple

Cupertino, CA

·

On-site

·

Full-time

·

2w ago

Compensation

$198,300 - $342,800

Benefits & Perks

Healthcare

401(k)

Equity

Learning Budget

Healthcare

401k

Equity

Learning

Required Skills

Leadership

SwiftUI

UIKit

AppKit

Software engineering

Problem solving

Communication

Computer Science fundamentals

We are looking to hire an iOS Software Engineering Manager who has a passion for building intuitive, ML driven image generation experiences. We want you to be technically deep and willing to personally deliver this work, while having the interpersonal skills and desire to build and lead an elite team of technical experts doing the same. This person will own the foundational image generation framework that contains the UI that underlies Image Playground, Genmoji, and Image Wand. This person will work closely with design, and must be able to think critically about UI flows and has an eye to the customer experience. In addition, having the technical knowledge to be able to work cross-functionally with both client and ML engineering teams is important. You will help Apple guide the way to democratizing image generation across our ecosystems and 3rd party developers as we build integrate intuitive image generation experiences across the system.

Description:

Apple's Input Experience team is looking for a manager to develop a team who will lead the next generation of software experiences and applications for surfacing image generation UI across the system. We're a highly multi-functional group working with everything from the backend through to the user interface. You will leverage state-of-the-art Generative AI models to build compelling new features right into Apple products already beloved by billions of customers around the world. In this role you will refine existing functionalities on iOS and macOS that power today's Apple products as well as inventing new features.

Preferred Qualifications:

Software engineering experience with ML applied to real-world problems in customer facing user interfaces. Any professional exposure to or hands-on experience with Generative AI is a plus.

Experience building and managing diverse teams that design and deliver complex software engineering projects, as well as experience leading cross-functional initiatives with a tangible impact on the direction of products that delight customers.

Familiarity with Machine Learning fundamentals:

Hands-on experience with image generation experiences

Bachelor's Degree or higher in Computer Science, or a closely related field

Minimum Qualifications:

5+ years of professional engineering experience

Familiarity with Apple's APIs and development tools, such as SwiftUI, UIKit, and App Kit

A personal passion for image generation experiences. Driven by the desire to create thoughtfully designed and delivered consumer products

At Apple, important decisions are made by a collection of cross-functional peers. As one of the leaders helping drive advances in Apple Intelligence, you must have high emotional intelligence, patience, and demonstrate expert collaboration with partner teams

Strength in Computer Science, core engineering principles, and modern software development methodologies

Excellent problem-solving, critical thinking and communication skills. You must be ready to personally deliver the work and then be able to build and manage a team that helps you force-multiply that work at-scale

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 .

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 $198,300 and $342,800, 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.

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$114,215

total / year

Base

$45,686

Stock

$57,108

Bonus

$11,422

$79,951

$148,480

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit