JobsSoftware Engineer (AML), AI & Data Platforms (AiDP)
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Software Engineer (AML), AI & Data Platforms (AiDP)

Apple

Location

USA (Multiple Locations)

Type

Full-time

Posted

5/5/2026

Compensation

Not listed

Undergraduate with 2+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025

Job description

The Software Engineer role in Apple's AI & Data Platform team focuses on building and scaling data and reporting applications that enhance user experience with minimal latency. This position involves engaging with business partners to understand their needs and leading discussions with development teams. The role is centered around developing and deploying innovative AI models and systems that significantly impact Apple's products and services. Candidates will have the opportunity to work in a fast-paced environment where their technical skills will be challenged and their contributions will be vital to the company's success.

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 of common frameworks and tools such as PyTorch or TensorFlow.
  • Experience in anomaly detection and forecasting methodologies.
  • Proficiency in Python and writing efficient SQL queries.
  • Strong coding and software engineering skills with familiarity in software engineering principles.

Responsibilities

  • Drive the development and deployment of innovative AI models and systems.
  • Implement robust, scalable ML infrastructure for data storage, processing, and model serving.
  • Develop novel feature engineering, data augmentation, prompt engineering, and fine-tuning frameworks.
  • Design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation.
  • Implement advanced model compression and optimization techniques to reduce resource footprint while preserving performance.

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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