AIML - Machine Learning Engineer, Data and ML Innovation

Apple • Cupertino, CA

1d

About The Position

As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying innovative research in foundation models to with a particular focus on audio data. This includes working across the full ML pipeline—from pre-training on large-scale unlabeled audio corpora to post-training evaluation and fine-tuning with task-specific datasets. The solutions you develop will have a significant impact on future Apple software and hardware products, as well as the broader ML ecosystem.

Requirements

• Deep technical skills in one or more machine learning areas, such as computer vision, audio, combinatorial optimization, causality analysis, natural language processing, and deep learning.
• Strong software development skills with proficiency in Python; hands-on experience working with deep learning toolkits like PyTorch, TensorFlow, or JAX (one of).
• 5+ years of experience developing and evaluating ML applications, demonstrating a passion for understanding and improving model/data quality.

Nice To Haves

• Deep understanding of multi-modal foundation models.
• Staying up-to-date with emerging trends in generative AI and multi-modal LLMs.
• The ability to formulate machine learning problems, design, experiment, implement, and communicate solutions effectively with multi-functional teams.
• Demonstrated publication records in relevant conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.).
• Track records of adopting ML to solve cross-disciplinary problems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed