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.
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
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
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
