ML Engineer, Intelligent Software Quality

Apple

Cupertino (CA)

On-site

USD 150,400 - 277,600

Full time

14 days+

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Benefits offered by this job

Stock programs
Relocation assistance
Medical and dental coverage
Employee stock purchase plan

Job summary

Apple’s Intelligent Quality Systems team is seeking ML engineers to design and build ML-powered systems for software quality at scale. You will prototype techniques for change-impact prediction, LLM-powered failure analysis, multimodal UI regression detection, and automated test recommendation across large-scale data sources.

You will bridge research ideas and production, evaluate data quality, and contribute to robust ML systems used in software shipped to hundreds of millions of people.

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.

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.

Skills

Machine learning
NLP / LLMs
Computer vision
Data pipelines
Software engineering
CI/CD
Large-scale data analysis

Education

BS/MS in Computer Science or related field

Tools

Python
PyTorch / TensorFlow
Git
SQL

Job description

Apple’s Intelligent Quality Systems team is seeking ML engineers to design and build ML-powered systems for software quality at scale. You will prototype techniques for change-impact prediction, LLM-powered failure analysis, multimodal UI regression detection, and automated test recommendation across large-scale data sources.

You will bridge research ideas and production, evaluate data quality, and contribute to robust ML systems used in software shipped to hundreds of millions of people.

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