Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)

Apple • Sunnyvale, CA

2d

About The Position

Join Apple’s AI & Data Platforms Applied Machine Learning team to develop enterprise solutions combining generative AI with privacy-first innovation. The role contributes to designing, building, and evolving models, tools, and applications that support high-impact AI experiences across Apple. It involves contributing to the architecture and optimization of AI and generative AI systems for high availability, scalability, and reliability across backend services and application layers.

The team designs and implements advanced AI models, services, and platform components to expand the adoption of generative AI at Apple. Work may address AI safety, privacy-preserving generation, efficient inference, machine translation, content understanding, computer vision, multimodal integration, multi-agent systems, and fine-tuning. The team delivers production-grade systems and models intended to meet Apple’s standards for quality, performance, and scalability.

Requirements

• At least 2 years of hands-on applied AI or machine learning experience in industry, or at least 4 years of hands-on AI research and development experience in academia.
• Demonstrated expertise in generative AI, computer vision, natural language processing, or general machine learning.
• Bachelor of Science in Computer Science, Machine Learning, or equivalent work experience.
• Experience with machine learning frameworks for training, fine-tuning, and deploying machine learning or generative models at scale.
• Track record of building large-scale, enterprise-grade machine learning or generative AI products in cloud environments such as AWS, GCP, or Azure, or on-premises infrastructure.

Nice To Haves

• Master’s or Ph.D. in Machine Learning, Natural Language Processing, Computer Vision, or a related area.

Responsibilities

• Design, build, and evolve machine learning models, tools, and applications for enterprise AI experiences.
• Contribute to the architecture and optimization of AI and generative AI systems for high availability, scalability, and reliability.
• Work across backend services and application layers.
• Develop solutions for AI safety, machine translation, content understanding, multimodality, multi-agent systems, and fine-tuning.
• Design and implement AI models, services, and platform components.
• Build production-grade systems and models for quality, performance, and scalability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level