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Location
In office (Sunnyvale)
Seniority
Junior · 2+ years exp
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Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. Apple scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

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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