Urgent! AIML - Senior Software Engineer, Machine Learning Platform Technologies Job Opening In San Francisco – Now Hiring Apple
**Role Number:** 200617248-3401
**Summary**
We are looking for a Senior Software Engineer to shape how we measure the success and reliability of Apple Intelligence software features.
This role is at the intersection of feature delivery, telemetry design, and data insights—helping teams understand how real users experience our products and guiding engineering decisions through trustworthy data.
You’ll architect and build systems that capture meaningful signals from our software stack, design metrics that reveal product health, and ensure that every new feature ships with measurement built in from the start.
The ideal candidate has strong engineering skills, deep curiosity for how products behave in the wild, and a data-driven mindset that treats measurement as a product capability, not an afterthought.
**Description**
In this role, you’ll work with cross-functional engineering teams to integrate measurement into feature development from the start.
You’ll design data models and instrumentation, establish SLAs and success metrics, and ensure telemetry is accurate, privacy-preserving, and actionable.
If you love building systems that tell the truth about how software performs and guiding product decisions through data, we’d love to hear from you
**Minimum Qualifications**
+ BS/MS in Computer Science, Data Engineering, or equivalent experience.
+ Strong programming skills in Python, Go, Java, or Swift, with a focus on scalable, maintainable systems.
+ Proven experience designing and instrumenting telemetry for measuring product success, reliability, or performance.
+ Ability to translate product or engineering goals into measurable outcomes and define the right metrics to validate them.
+ Experience working with large data pipelines or analytics systems; proficiency in data validation, querying, and quality monitoring.
+ Deep understanding of observability concepts — tracing, logging, and metrics — and experience integrating them into engineering workflows.
+ Familiarity with on-device telemetry or iOS development (Swift, Xcode, UIKit/SwiftUI) is a strong plus.
+ Collaborative and proactive in partnering with multiple engineering teams to ensure measurement and observability are consistent and reliable.
+ Strong written and verbal communication skills; ability to make complex systems understandable and actionable.
**Preferred Qualifications**
+ Experience driving technical decisions using insights from data and telemetry.
+ Strong sense of ownership for data integrity and system reliability.
+ Demonstrated ability to lead cross-functional engineering initiatives.
+ Experience with distributed systems, cloud data infrastructure (AWS, GCP, or internal equivalents), and observability tools.
+ Familiarity with privacy-preserving data collection and measurement design principles.
+ Enthusiasm for building developer-facing tools that improve product health visibility.
**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 $181,100 and $318,400, 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.
(https://www.apple.com/careers/us/benefits.html)
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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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Unlock Your AIML Senior Potential: Insight & Career Growth Guide
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Great news! Apple is currently hiring and seeking a AIML Senior Software Engineer, Machine Learning Platform Technologies to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AIML Senior Software Engineer, Machine Learning Platform Technologies Jobs United States varies, but the pay scale is rated "Standard" in San Francisco. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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