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Software Engineer (AI/ML), Ai & Data Platforms

Apple

10/15/2025

Full-time

Salary: $147,400 - $272,100 a year


Job Description

Apple is seeking a Machine Learning Engineer to work on building intelligent systems to democratize AI across a wide range of solutions within the company.

Requirements

  • BS in Computer Science or related field or equivalent
  • 3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management
  • Experience developing AI/ML systems at scale in production or in high-impact research environments
  • Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems
  • Knowledge with the common frameworks and tools such as PyPorch or TensorFlow

Responsibilities

  • Drive the development and deployment of innovative AI models and systems impacting the capabilities and performance of Apple’s products and services
  • Implement robust, scalable ML infrastructure for seamless integration of AI/ML models into production environments
  • Develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks
  • Design and implement automated ML pipelines for data preprocessing, model training, hyper-parameter tuning, and model evaluation
  • Implement advanced model compression and optimization techniques to reduce resource footprint of language models

Benefits

  • Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.
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