About this role
Summary: Join Apple's enterprise generative AI team to design, build, and optimize AI models and platforms. You will solve complex problems in safety, translation, and multimodality while delivering scalable, production-grade systems.
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.
Responsibilities
You would solve AI problems in gen AI Safety, machine translation, content understanding, multi-modality, multi-agent systems, fine tuning and more.
Our team designs and implements SOTA AI Models, services, and AI platform components
that advance adoption of gen AI at apple. We tackle unique AI challenges in AI Safety,
privacy-preserving generations, efficient inference, and multimodal integration, while
enabling teams to build on top of our foundations.
We deliver production-grade systems and models that meet Apple's rigorous standards for quality, performance, and scalability.
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