ML Engineer - Evaluation Automation, Siri AI Quality Engineering

Apple has an extraordinary reputation for product quality. We are looking for a versatile Machine Learning Engineer with a strong background in Large Language Models (LLMs) to build the next generation ML evaluation frameworks and tools. In this role, you will use LLMs and other ML techniques to help automate large-scale data generation and evaluation job execution on server or on device, build LLM judges, detect anomalies, and streamline ML evaluation workflows.

This is a high-impact role where you'll work at the intersection of AI/ML, conversational agents, information retrieval, software engineering, and ML evaluation, helping us push the boundaries of how AI can transform ML evaluation.

Description

Design and develop machine learning and LLM-based solutions for ML model and system evaluation use cases such as:

- Automatic large scale data generation

- Automatic UI and Non UI test evaluation

- Run evaluation jobs at scale

- Build and optimize LLM judges

- Intelligent log summarization and anomaly detection

- Fine-tune or prompt-engineer foundation models (e.g., Apple, GPT, Claude) for Evaluation-specific applications

- Collaborate with QA teams to integrate models into testing frameworks

- Continuously evaluate and improve model performance through A/B testing, human feedback loops, and retraining

- Monitor advances in LLMs and NLP and propose innovative applications within the ML evaluation domain

Preferred Qualifications

Experience in Swift/XCTest/XCUITest is preferred

Ability to thrive in a collaborative working environment within your team and beyond

Ability to triage problems, prioritize accordingly, and propose resolutions

Minimum Qualifications