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Apple

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

Apple Sunnyvale, California, United States

Computers and Electronics Manufacturing · 10,001+ employees

6 h ago
machine-learning Mid (2-5 yrs) Full-time United States
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About the role

You will design, build, and evolve generative AI models and applications to power high-impact enterprise experiences. You will also contribute to the architecture and optimization of AI systems to ensure high availability, scalability, and reliability.

What they look for

Generative AI Machine Learning Computer Vision Natural Language Processing Python Cloud Computing AWS GCP Azure System Architecture Scalability Reliability Backend Services Model Training Fine-tuning Data Platforms

Requirements

Candidates must have at least 2 years of hands-on industry experience in applied AI/machine learning or 4 years of academic research experience. A Bachelor of Science in Computer Science or a related field is required, with a preference for advanced degrees like an MS or PhD.

Full description

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.

Description

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.

Minimum Qualifications

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

Preferred Qualifications

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

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