Machine Learning Engineer, OS Intelligence

Seattle, Washington, United States

Are you excited about the ways Machine Learning can make all Apple products more intelligent and personalized? From extending your battery life, to accelerating app launches, to preserving your battery health, the OS Intelligence team builds innovative ML solutions ranging from predictive forecasting models to deep foundation models that improve the user experience originating from the core of the operating system. Within the umbrella of Core OS Power & Performance, the Energy Technologies division focuses on solving key resource tradeoff and optimization problems, which sets Apple products apart. The OS Intelligence team within this group is a focused Applied Machine Learning team that imbues the low layers of the operating system with Machine Learning-based intelligence and ships key features and technologies in every year's OS releases. The team is looking for extraordinary candidates to design Deep Learning architectures, implement industry-leading Machine Learning algorithms, as well as contribute high-quality software to iOS, iPadOS, macOS, watchOS, visionOS, and more. In this unique and highly visible role, you will be working cross-functionally to add intelligence to new domains to create beautiful user experiences. Through data analysis, ML model development, and on-device software development, you will push the boundary of what's possible in an operating system.

In This Role, You Will Have The Opportunity To:

• Innovate, conceptualize, and prototype novel intelligent experiences by leveraging recent advances in LLMs, sequence-to-sequence models, and fine-tuning (like LoRA adapters, RAG pipelines) to architect foundation models for a diverse set of applications in the OS.
• Build scalable cloud-based and on-device infrastructure to accelerate seamlessly running experiments and monitoring shipped models.
• Analyze, understand, and present key performance data for highly-visible OS features.
• Write elegant, performant code in Objective-C or Swift and test, debug, and productize it.
• Consult with and influence other teams to drive adoption of new APIs.

Minimum Qualifications

• Bachelor's degree in Computer Science or equivalent work experience.
• Strong programming background and a clear understanding of operating system components.
• Familiarity with statistics, data analysis, or machine learning and the enthusiasm to learn more.
• Highly professional and collaborative with outstanding communication and presentation skills.
• Proven track record leading software projects from inception through customer delivery.
• Ability to deliver high quality work on tight schedules consistently.

Preferred Qualifications

• Familiarity with Python, Objective C, or Swift.
• Familiarity with Deep Learning libraries like PyTorch and Tensorflow.
• Experience building and leading Applied Machine Learning projects in industry or academia.

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 $139,500 and $258,100, 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.

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.