Job Details

Weekly Hours: 40

Role Number: 200637051-3956

Summary

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, platforms, 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. Our team designs and implements SOTA AI Models, scalable RESTful APIs, services, and platform components that advance adoption of gen AI at apple. We tackle unique 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 machine learning or backend development in industry OR 3+ years of hands on research and development experience in academia

• Bachelor of Science in Computer Science, Machine Learning, or a related quantitative field or equivalent experience

Preferred Qualifications

• Strength in coding languages such as Python, Java, or GO.

• MS in Computer Science, Machine Learning, or a related quantitative field

• Experience with microservices architecture and distributed systems

• Experience in ML frameworks (PyTorch, JAX) for training, fine-tuning, and deploying ML/generative models at scale

• Proven track record of building enterprise-grade ML pipelines (data prep, distributed training, optimization, monitoring) in cloud environments (AWS, GCP, Azure) or on-prem infrastructure

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .