Apple
Machine Learning Engineer, Evaluation and Quality, Creativity Apps
$142K–$263K
San Diego Metro Area, California · Full-time · Posted Oct 27, 2026
- Experience
- 5+ years of industry experience in machine learning or software engineering, focused on ML/AI model evaluation and quality.
- Education
- Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent experience.
About the job
Own evaluation strategy and end-to-end quality for ML models and AI features in Apple’s Creativity Apps, from datasets and infrastructure to ship/no-ship recommendations.
What you'll do
- Define evaluation methods, metrics, datasets, and scalable infrastructure for ML models, LLMs, and AI features.
- Use ML, LLMs, and agentic workflows to automate evaluation, generate tests, and analyze results.
- Drive feature quality from model checkpoints through shipping, resolve issues, and report quality risks and recommendations.
What they ask for
- 5+ years of industry experience in machine learning or software engineering focused on ML/AI model evaluation and quality.
- Experience with evaluation methods, dataset curation and quality, and ML evaluation infrastructure at scale.
- Strong ML fundamentals and LLM knowledge, including agentic workflows; experience applying LLMs or agentic workflows to evaluation and quality.
- Proficient in Python and/or Swift or comparable languages; strong communication and cross-functional collaboration skills.
Nice to have
- Knowledge of software quality assurance, objective image/video quality evaluation, color science, or subjective image/video review.
- Experience as a creator or familiarity with iOS and macOS.
Pay
$142,300 to $263,300 USD base salary
Tools
Python, Swift, ML, LLMs, agentic workflows, iOS, macOS
AI focus
Evaluate and improve the quality of ML models, LLMs, and AI features; apply LLMs and agentic workflows to automated judging, test generation, and analysis.
Model-written summary · the original posting is authoritative