Job Details

Weekly Hours: 40

Role Number: 200611059-3337

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 support the architecture and optimizing backend systems for high availability and scalability. We design and implement scalable RESTful APIs and microservices using Python, Java, or Go. Our team tackles unique challenges in privacy-preserving generation, efficient inference, and multimodal integration. We deliver production-grade models that meet Apple's rigorous standards for quality, performance, and scalability.

Minimum Qualifications

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

• 2+ years of hands-on experience in machine learning and backend development in industry

• 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

Preferred Qualifications

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

• Deep expertise in one of Enterprise GenAI's critical domain, such as document-AI, LLM, agent, embedding, or search

• Contributions to major open-source ML frameworks or research communities

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) .