Job Description
Imagine shaping the future of email with intelligent features that transform how users interact with Mail on iOS, iPadOS, macOS, and visionOS. As a Mail Intelligence Software Engineer, you will play a key role in integrating advanced machine learning and AI capabilities into the Mail app, enabling smarter experiences for millions of users. Your work will focus on leveraging machine learning models to enhance features such as Search, Categorization, Summarization, and Composition. If you're passionate about backend client engineering, machine learning, and delivering innovative products, this is the role for you!
Description
In this role, you will help shape the next generation of intelligent features in Apple Mail. You will work across multiple layers of the client stack, including databases, daemons, persistence layers, and machine learning frameworks. You will collaborate with our machine learning partners, power and performance teams, and other software framework teams. As part of the Mail Intelligence team, your contributions will directly impact how users interact with email across Apple’s ecosystem, making it smarter, more personalized, and intuitive.
Minimum Qualifications
- You have strong communication, collaboration, and interpersonal skills.
- You are self-directed and can solve problems independently.
- Attention to detail, and a passion for producing professional code.
- Strong object-oriented programming skills in Swift or Objective-C.
- Ability to diagnose performance, memory, and other issues by digging into lower levels of the stack.
Key Qualifications
Preferred Qualifications
- Experience working with SQLite or other databases.
- Experience working with machine learning models and their associated frameworks.
- Knowledge of Internet Mail standards (MIME, IMAP, SMTP, POP, etc).
Education & Experience
Additional Requirements
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 $175,800 and $312,200, 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 take affirmative action to ensure 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.
In this role, you will help shape the next generation of intelligent features in Apple Mail. You will work across multiple layers of the client stack, including databases, daemons, persistence layers, and machine learning frameworks. You will collaborate with our machine learning partners, power and performance teams, and other software framework teams. As part of the Mail Intelligence team, your contributions will directly impact how users interact with email across Apple’s ecosystem, making it smarter, more personalized, and intuitive.
Job Tags
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