Our team of applied ML scientists and engineers works to enhance the experience and productivity of software development at Apple. Our team applies state-of-the-art ML models to solve real-world problems in software quality and development workflows. We're looking for talented and enthusiastic team members to join us in our efforts. If this sounds like you, we have many challenging and interesting problems to work on together and would love to talk to you!

Description

Our team designs and builds ML solutions to transform how Apple and developers in the ecosystem approach developing quality software at scale. We are a team of applied scientists, infrastructure engineers, and machine learning engineers who work with NLP, computer vision, and multimodal domains to create AI-powered testing solutions.

In this role, you will be responsible for bringing ML ideas to life within Apple's ecosystem. You'll prototype and refine ML techniques, adapting them to work effectively on Apple platforms and within Apple's technical constraints. You'll develop creative approaches to collecting evaluation and training data. And you will serve as a crucial bridge between research ideas and production reality. Your ability to spot potential pitfalls in data collection, on-device model deployment, and integration will be an invaluable addition to the team.

You will be successful and feel fulfilled in our team if you enjoy turning ideas into working code, have a practical mindset about what it takes to ship ML systems, and thrive in a collaborative environment where you learn from senior teammates while contributing your own insights.","responsibilities":"Implement and refine ML solutions, adapting them for Apple's ecosystem and technical requirements

Rapidly prototype multiple algorithmic approaches to identify the most promising directions

Design and implement creative data collection strategies for training and evaluation datasets

Proactively identify research-to-production gaps and technical risks in proposed solutions

Help establish best practices for ML development within Apple's testing tools

Preferred Qualifications

Experience with Apple platforms, development tools, or frameworks (Core ML, Swift, Xcode)

Background in software testing, quality assurance, or developer tools

Hands-on experience with NLP, computer vision, or multimodal ML applications

Familiarity with app development (iOS/macOS) or testing frameworks

Minimum Qualifications

1-3 years of experience with machine learning in academic or professional settings, with demonstrated work on substantial ML projects beyond coursework

Strong programming and software engineering skills with ability to write clean, maintainable code, particularly within Apple's ecosystem

Practical understanding of ML fundamentals and ability to implement ML algorithms from specifications or papers

BS or MS in Computer Science, Machine Learning, or related field

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 $147,400 and $272,100, 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.