AIML - Machine Learning Engineer, Foundation Models

Apple is seeking exceptional Machine Learning Engineers to join their Foundation Model Team, focusing on developing sophisticated AI models that power intelligent features across Apple's product ecosystem. This role represents an opportunity to work at the intersection of cutting-edge AI research and large-scale production systems.

The Foundation Model Team is responsible for building fundamental AI capabilities in text, images, speech, and multi-modal applications. As a Machine Learning Engineer, you'll be instrumental in designing and implementing scalable infrastructure for training and deploying these advanced models while ensuring they meet Apple's high standards for performance and privacy.

The role combines deep technical expertise with practical engineering skills, requiring proficiency in Python, distributed systems, and modern ML frameworks. You'll work on challenging problems in model optimization, distributed training, and efficient deployment, directly impacting millions of users through Apple's products.

Key aspects of the role include:

• Building and optimizing large-scale foundation models
• Developing efficient training and inference systems
• Collaborating across teams to integrate AI capabilities into products
• Ensuring robust privacy and security measures
• Potential team leadership opportunities

The position offers competitive compensation ($171,600 - $302,200) and comprehensive benefits including medical coverage, stock options, and education reimbursement. Multiple locations are available including Cupertino, New York City, and Seattle, offering flexibility in choosing your work location.

This is an excellent opportunity for those passionate about advancing the field of AI while working on products that impact millions of users daily. The role combines the excitement of research-driven innovation with the satisfaction of seeing your work deployed in real-world applications at massive scale.