Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Are you passionate about delivering the best user experiences at the highest levels of quality? Have you applied Generative AI to tackle sophisticated problems and brought those solutions to production? If you said yes, then join us! We're a team of senior software engineers who work at the intersection of AI and Quality Engineering, and our goal is to maintain a high bar of quality for every OS release. In this unique opportunity you will make an impact across a wide range of software engineering teams. You will drive the development and implementation of best practices for qualifying end-to-end features powered by machine learning and foundation models. You will also build novel software prototypes, tools, and applications to improving the quality of our operating systems using foundation models.
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Description
We believe that phenomenal user experiences with our products define our success. We are a highly cross-functional and fast-paced team at the center of quality for Apple's operating systems. We are looking for candidates who share our passion for quality and our excitement about applying AI and machine learning to set a higher standard for test engineering and quality assurance. This role is perfect for you if you enjoy collaborating with others and exploring how groundbreaking technology can be used to solve challenging problems for the betterment of many teams!
Minimum Qualifications
- B.S., M.S. or PhD in Electrical Engineering, Computer Science or a related field (e.g, mathematics, physics or computer engineering).
Preferred Qualifications
- Strong programming skills using standard ML tools such as Python, PyTorch, Tensorflow along with Swift, Objective C, or C++.
- Hands-on experience using large foundation models (e.g. LLMs) and associated tool chains (e.g. langchain) and APIs to build applications, tools and workflows for production.
- Experience with methodical approaches to software testing for features powered by 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 $143,100 and $264,200, 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 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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