Senior Machine Learning Engineer, Commerce and Growth Intelligence

Senior Machine Learning Engineer, Commerce and Growth Intelligence

Seattle,Washington,United States

Machine Learning and AI

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. The Commerce & Growth Intelligence team at Apple Services Engineering is at the forefront of delivering cutting-edge innovations that shape the entire lifecycle of a user’s journey—from account creation to marketing, personalized offers, subscription ranking, churn modeling, lifetime value optimization, and beyond. We’re solving problems of unprecedented scale and complexity, leveraging the latest advancements in machine learning and AI, including large language models (LLMs). Our team thrives in a dynamic and collaborative environment, where impactful ideas become transformative products and experiences for millions of customers worldwide

Description

Join our innovative team to design, develop, and deploy scalable, high-volume, low-latency machine learning inference services that power customer-facing experiences. You’ll work with advanced technologies to integrate on-device machine learning with the iOS ecosystem, build big data pipelines for model training and tuning, and optimize training operations on large GPU clusters, and ensure operational reliability and observability across our platforms. Key Responsibilities - Inference Service Development: Design, develop, and deploy high-performance machine learning inference services with a focus on scalability and efficiency. - On-Device ML Solutions: Architect and integrate machine learning solutions with various platforms, enhancing user experience and on-device capabilities. - Big Data Pipeline Engineering: Build and maintain data processing pipelines to support model training and tuning across large datasets. - Model Training Pipeline Optimization: Manage and optimize machine learning training pipelines to improve performance in distributed computing environments.

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Systems, or Electronic Engineering

5+ years of work experience in machine learning engineering

Key Qualifications

Preferred Qualifications

Proven experience building large-scale event processing systems; a deep understanding of JVM technologies is a plus.

Hands-on experience with on-device machine learning solutions; familiarity with iOS ecosystems (CoreML, Swift SDK) is advantageous.

Expertise in large-volume big data processing (batch or streaming); experience with Apache and Apache Flink using Scala is a plus.

Familiarity with training and optimizing machine learning models (e.g., XGBoost, PyTorch, LLMs) is beneficial.

Minimum three years of experience in developing customer-facing machine learning systems is highly desirable.

Actively engage with product teams to discuss and influence product decisions, using strong communication skills to design cohesive engineering solutions that scale ML products for billions of users and devices.

Education & Experience

Additional Requirements

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 $166,600 and $296,300, 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 (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .

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