About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- A range of discounted products and free services
- For formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition
- This role might be eligible for discretionary bonuses or commission payments as well as relocation
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
