Machine Learning Engineer - Notifications & Personalization

Apple, Inc.; Cupertino (CA); On-site; USD 185,000 - 325,000; Full time

Job summary

Apple, Inc. in Cupertino, California, seeks a Machine Learning Engineer to advance Notifications & Personalization. You will design, train, and deploy on-device models that power private, proactive experiences across iOS while ensuring efficiency and privacy.

You will collaborate with software and ML engineers, build evaluation pipelines, and optimize models for latency and power on embedded systems. Proficiency with CoreML, Python, Swift, and C++ is preferred.

Qualifications

• 7-10 years shipping and evaluating ML at scale
• Experience training and deploying ML models
• Experience working on embedded operating systems

Responsibilities

• Ship ML models to millions of users and measure real-world impact
• Design evaluation frameworks for model quality, user engagement
• Build telemetry pipelines to analyze user signals
• Develop on-device inference pipelines using Python, Swift and Objective-C
• Collaborate with Privacy Engineering to ensure privacy-preserved data collection

Skills

Shipping at scale

Model training

On-device inference

Embedded systems

Design collaboration

Education

BS/MS/PhD in CS/ML/SE

Tools

Python

Swift

Objective-C

C++

CoreML

CreateML

Scikit-Learn

SQL

Job description

Machine Learning Engineer - Notifications & Personalization

Cupertino, California, United States Machine Learning and AI

Our team is looking for you to help make iOS more intelligent, proactive and personal. Our team is part of the core iOS experience, using privacy preserving on-device intelligence to drive new experiences that touch the lives of millions of Apple customers every day.We are responsible for personalizing core system experiences, such as helping you manage and summarize notifications, get the most relevant widgets in smart stacks, as well as predicting your next Focus. In our team you will bring expertise in machine learning and software engineering to train and deploy models that surprise and delight our customers every day.

Description

You will work closely with talented Software and ML engineers on our team, and across Apple to train, deploy, and evaluate machine learned models that power new experiences across iOS and all Apple platforms.As we build the future of iOS, you will be responsible for driving the development of the models and infrastructure that power intelligent system experiences. You will be responsible for providing technical leadership across a wide variety of products and features, proposing and executing innovative solutions, and improving our model training and evaluation pipelines in service of quality and future feature development. You will be a core participant in developing new models and architectures that result in high quality features while adhering to device power and performance constraints.We are passionate about user experience and privacy. Our mission is to craft user experiences which leverage the power of machine learning and on-device intelligence to preserve our customers privacy. Come help build state-of-the art intelligence impacting over a billion users.

Responsibilities

• Experience shipping and evaluating at scale:
• Experience shipping ML models to millions of users and interpreting real-world metrics to evaluate model and product impact
• Designing and running evaluation frameworks to measure model quality, user engagement, and product outcomes at scale
• Building instrumentation and telemetry pipelines to collect, analyze, and act on user signals across large populations
• Planning and implementation of experimentation of various on-device machine learning models to understand the performance of deployed models and optimize performance
• Experience training and deploying machine learned models:
• Implementing, training, and optimization of machine learning models with the application of unsupervised and supervised learning techniques including classification, regression, and artificial neural network algorithms using open source libraries such as Scikit-Learn and Apple-owned frameworks such as CoreML and CreateML
• Applying reinforcement learning techniques to personalize on-device suggestions including app, people, and action recommendations
• Deploying machine learning models using Python, Objective-C, and Swift for on-device inference, applying software engineering skills to write clean, readable, testable, and deployable code
• Identifying and selecting appropriate datasets and data representation methods, including identification of data sources and implementation of data collection algorithms to collect privacy-preserved data for model training
• Applying data preparation techniques including preprocessing, profiling, cleansing, validation, and transformation to prepare data for model training
• Applying statistical and mathematical skills including regression analysis, using tools such as Python and SQL-based querying tools to derive insights from large data sets for optimization of model performance
• Experience building great user experiences:
• Strong product and design intuition — ability to reason about how model decisions surface in the UI and affect user perception
• Collaborating closely with the Apple Design team to ensure intelligent features feel intentional, not intrusive
• Translating ambiguous user needs into measurable signals and tuning models to optimize for user-perceived quality rather than purely statistical metrics
• Experience working on embedded operating systems:
• Understanding of large-scale operating systems development and how to build within constraints like performance, memory, and power
• Experience building across the full iOS system stack using Objective-C, Swift, and C++
• Experience building features that span multiple system components, with familiarity in on-device inference constraints including latency, privacy, and resource budgets
• Cross-functional collaboration with teams such as Privacy Engineering to ensure privacy-preserved and secured data collection for model training and optimization
• Experience with UI development, design and prototyping

Minimum Qualifications

• 7-10 years of experience:
• Shipping and evaluating at scale
• Training and deploying machine learned models
• Working on embedded operating systems

Preferred Qualifications

• BS, M.S. or PhD in Software Engineering, Computer Science, Machine Learning, or related field

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 $184,700 and $324,800, 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.