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Machine Learning Engineer - Notifications & Personalization

Apple Cupertino, CA

Cupertino, CA

Today

$185k - $325k/yr Full time Artificial Intelligence Data Science Data Science Ml

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Job Description

Help build privacy-preserving machine learning that makes iOS notifications, widgets, and Focus prediction more intelligent, proactive, and personal.

Responsibilities

Ship and evaluate machine learning solutions at scale
Deploy ML models to millions of users and interpret real-world metrics to assess model and product impact
Design, run, and iterate evaluation frameworks measuring model quality, user engagement, and product outcomes at scale
Build instrumentation and telemetry pipelines to collect, analyze, and act on user signals across large populations
Plan and implement experimentation for on-device ML models to evaluate deployed performance and optimize outcomes
Implement, train, and optimize ML models using unsupervised and supervised learning techniques (classification, regression, and artificial neural networks) with Scikit-Learn and Apple frameworks such as CoreML and CreateML
Apply reinforcement learning to personalize on-device suggestions, including recommendations for apps, people, and actions
Deploy on-device inference using Python, Objective-C, and Swift, applying software engineering practices for clean, readable, testable, deployable code
Select appropriate datasets and data representation methods, including identifying data sources and implementing algorithms to collect privacy-preserved data for model training
Apply data preparation workflows including preprocessing, profiling, cleansing, validation, and transformation
Use statistical and mathematical methods (for example, regression analysis) with Python and SQL-based querying tools to derive optimization insights from large datasets
Apply strong product and design intuition to reason about how model decisions appear in the UI and influence user perception
Collaborate closely with the Apple Design team to ensure intelligent features feel intentional, not intrusive
Translate ambiguous user needs into measurable signals and tune models for user-perceived quality, not only statistical metrics
Work within large-scale iOS operating system constraints such as performance, memory, and power
Build across the full iOS system stack using Objective-C, Swift, and C++
Deliver features spanning multiple system components, with familiarity in on-device inference constraints (latency, privacy, and resource budgets)
Partner cross-functionally with teams including Privacy Engineering to enable privacy-preserved and secured data collection for training and optimization
Develop UI-related capabilities through UI development, design, and prototyping experience

Requirements

7-10 years of experience
Experience shipping and evaluating at scale
Experience training and deploying machine learned models
Experience building great user experiences
Experience working on embedded operating systems
BS, M.S., or PhD in Software Engineering, Computer Science, Machine Learning, or related field

Technologies

Scikit-Learn
CoreML
CreateML
Python
Objective-C
Swift
SQL
C++

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary bonuses or commission payments and relocation (as applicable)
Eligible for discretionary restricted stock unit awards
Opportunity to purchase Apple stock at a discount through participation in Apple’s Employee Stock Purchase Plan

Pay & Benefits Notes

Base pay range: $184,700 - $324,800 per year (depends on skills, qualifications, experience, and location)
Eligibility for benefits, compensation, and stock programs depends on plan/program terms

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