Machine Learning Evaluation Engineers at Apple shape quality for AI features in Creativity Apps from Vancouver, British Columbia. Apply ML evaluation, metrics, and datasets.
This engineer owns evaluation and quality across AI features in Creativity Apps. You will define methodologies, testing strategies, and metrics reflecting creator experiences. The work spans model development, infrastructure, integrated features, and customer-ready quality.
Key Responsibilities: Define evaluation strategies and metrics for models, LLMs, and AI features
Create representative datasets and improve their quality iteratively
Build scalable infrastructure with reproducible runs and tracked baselines
Apply LLMs and agentic workflows to evaluation
Report quality, risks,



recommendations, and resolution progress clearly
Requirements: Five-plus years in machine learning or software engineering
Experience evaluating ML models, LLMs, and AI products
Understanding of data, training, deployment, and monitoring cycles
Proficiency in Python, Swift, or comparable languages
Bachelor’s degree or equivalent experience in a related field
Bring evaluation methodology, dataset quality, scalable infrastructure, and machine learning expertise to Apple’s creative applications.

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📌 Machine Learning Evaluation Engineer (British Columbia)
🏢 Apple
📍 British Columbia