Apple · San Francisco

Senior Machine Learning Engineer, Commerce and Growth Intelligence

(f/m/d) · 5/8/2025

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. - 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.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Systems, or Electronic Engineering
  • 6+ years of work experience in the machine learning engineering space

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.

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.

Application

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