AIML - Sr Machine Learning Engineer - Data and ML Innovation

AIML - Sr Machine Learning Engineer - Data and ML Innovation

Seattle, Washington, United States - Machine Learning and AI

Description

As a Machine Learning (ML) Engineer, you will be responsible for innovating and applying research in foundation models, focusing on audio data. Your work will encompass the entire ML pipeline, from pre-training on large-scale unlabeled audio datasets to evaluation and fine-tuning with task-specific data. The solutions you develop will impact Apple’s software and hardware products and the broader ML ecosystem.

Your responsibilities include designing and developing a multi-modal data generation and curation framework for foundation models at Apple, building robust model evaluation pipelines, and analyzing multi-modal data to understand its influence on model behavior. You will also have opportunities to publish and present your research at academic venues.

Specific applications of your work may include :

• Designing self-supervised and semi-supervised learning pipelines for tasks like speech recognition and speaker identification.
• Applying data selection techniques such as novelty detection and active learning across modalities to improve data efficiency.
• Modeling data distributions to uncover patterns and handle out-of-distribution challenges.
• Learning new methods rapidly and guiding product teams in ML solution selection.

Minimum Qualifications

Preferred Qualifications

Note : The salary range for this role is $139,500 to $258,100, depending on skills and experience. Apple offers comprehensive benefits, stock programs, and opportunities for educational reimbursement and bonuses. Apple is an equal opportunity employer committed to diversity and inclusion.

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