Overview
On Site
USD 175,800.00 - 312,200.00 per year
Full Time
Skills
Forecasting
User experience
Energy
Optimization
Design
Deep learning
Leadership
Algorithms
iOS development
OS X
Data Analysis
Machine Learning (ML)
Software development
Operating systems
Adapter
Cloud computing
Data
Objective-C
Swift
Debugging
Payments
Job Details
Summary
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.
Description
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.
Pay & Benefits
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.
Description
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.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.