Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)
- Location
- Sunnyvale, United States of America
- Level
- Entry level
- Experience
- 2+ years
- Education
- Bachelor's degree
- Job function
- Software/Internet/AI › Machine Learning & AI › Machine Learning Engineer
Posted Nov 11, 2026Last confirmed open Nov 11, 2026
About this role
Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Ai Data Platform Applied Machine Learning team to pioneer enterprise solutions where generative AI meets Apple's unique commitment to privacy-first innovation.
Together, we'll create tools that redefine industries while safeguarding what matters most – our users' trust.
As a pivotal member of Apple's enterprise generative AI efforts, you will help design, build, and evolve models, tools and applications that power high-impact AI experiences across the company. You will contribute to the architecture and optimization of AI/gen AI systems built for high availability, scalability, and reliability, working across backend services and application layers.
2+ years of hands-on experience in applied AI/machine learning work in industry or 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 with a passion for problem solving
Bachelor of Science in Computer Science, Machine Learning or equivalent experience work experience
MS or Phd in Machine Learning, Natural Language Processing, Computer Vision or related areas strongly preferred
Experience in ML frameworks for training, fine-tuning, and deploying ML/generative models at scale
Proven track record of building large scale, enterprise-grade ML/Gen-AI products in cloud environments (AWS, GCP , Azure) or on-prem infrastructure
What you'll need to apply
What this employer's standard application typically asks
Company-specific questions
- Have you previously worked at Apple?
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