This role is focused on evaluating audio large language models (LLMs) within Apple's Speech Evaluation team, which is integral to the company's advancements in automatic speech recognition (ASR) and text-to-speech (TTS) technologies. The position involves designing datasets and metrics to assess the performance of these models, ensuring they meet high standards before deployment. You will work closely with modeling, infrastructure, and product teams to facilitate efficient evaluations. This opportunity combines cutting-edge AI technology with a user-centered design approach.

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.
• Experience building or working with text, speech or audio evaluation pipelines and metrics.
• Proficiency in Python and experience building data processing pipelines at scale.
• Experience curating or annotating datasets for machine learning evaluation or training.
• Working knowledge of statistics as applied to measuring model performance and interpreting evaluation results.
• Familiarity with large language model evaluation techniques, including automated and human evaluation methods.
• Strong written and verbal communication skills, with the ability to explain evaluation results to both technical and non-technical audiences.
• Experience evaluating audio-native or multimodal large language models.
• Experience designing or running human evaluation studies at scale.
• Familiarity with personalization and named-entity evaluation challenges in speech systems.
• Experience with multilingual or international audio dataset development.
• Experience with distributed data processing frameworks for large-scale audio dataset generation.
• Publication record or demonstrated contributions in speech, audio ML, or NLP evaluation.

• Own the data and metrics foundation for evaluating speech LLMs across accuracy, robustness, and conversational quality.
• Build and curate evaluation datasets that reflect real usage scenarios.
• Design the metrics and automated judges that convert model outputs into actionable signals.
• Collaborate with modeling, infrastructure, and product partners to ensure timely and rigorous evaluations of new models.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.