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Machine Learning Engineer - Intelligent Quality Systems

Apple· Intelligent Quality Systems
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full-timePosted 1w ago

About the role

Applied ML and software engineer role at Apple focused on building ML-powered systems to improve software quality at scale. Prototype and implement ML methods across testing lifecycle, including test selection, failure triage, UI validation, and test coverage analysis, with large-scale data and production-ready systems.

Responsibilities

  • Implement and refine ML solutions across the testing lifecycle, test selection, failure triage, visual validation, and test coverage analysis
  • Rapidly prototype multiple algorithmic approaches to identify the most promising directions
  • Design and implement data collection, labeling, and evaluation strategies for training and measuring ML systems
  • Work with large-scale test result and code change data to surface patterns and inform modeling decisions
  • Proactively identify research-to-production gaps and technical risks in proposed ML solutions
  • Collaborate with applied scientists and software engineers to ship reliable, high-impact ML systems

Qualifications

  • 3+ years of experience with machine learning in academic or professional settings, with demonstrated work on substantial ML projects beyond coursework
  • Strong programming and software engineering skills; ability to write clean, maintainable, production-quality code
  • Practical understanding of ML fundamentals, model training, evaluation, and debugging, and ability to implement algorithms from papers or specifications
  • BS or MS in Computer Science, Machine Learning, Statistics, or a related field
  • Experience with NLP, large language models, code understanding, or retrieval-augmented generation (RAG)
  • Background in computer vision or multimodal ML
  • Experience building or maintaining data pipelines and ML infrastructure at scale
  • Familiarity with software testing, CI/CD systems, or developer tooling
  • Experience working with large-scale structured or semi-structured data (logs, test results, code diffs)
  • Comfort operating in environments where ground truth labels are noisy, ambiguous, or expensive to obtain

Skills

Required:Machine learning

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses — including tuition
  • discretionary bonuses or commission payments as well as relocation eligibility
  • Apple shareholder programs via discretionary employee stock programs
  • opportunity to purchase Apple stock at a discount through Employee Stock Purchase Plan
Last updated Oct 16, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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