Apple is looking to develop GenAI search and recommendation applications end-to-end and partner with engineering teams across Apple.
Requirements
- 5 year+ industry experience in distributed system and ML Modeling (Search, Recommendation, NLP, Ads, Statistics)
- Experience with high throughput services particularly at supercomputing scale
- Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
- Proficient in building and maintaining systems written in modern languages (eg: Golang, Rust, Python)
- Familiar with GenAI Applications and popular agentic framework like Langchain and Langgraph
- Familiar with embedding model and llm serving like Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.
- Familiar with very large scale serving system
Responsibilities
- develop GenAI search and recommendation application end to end
- design and build large-scale server-side functionality
- exploring and delivering cutting-edge GenAI applications and features powered by large language models
- partner closely with product, platform, and design teams to bring innovations to life
- onboarding applications to Apple’s world-class search and recommendation platform
- work end-to-end on feature and product design across a broad range of Apple services
- reaching millions, and even billions, of users worldwide with the reliability and excellence Apple is known for
Other
- Bachelor’s degree or higher in Computer Science or related technical field.
- At Apple, base pay is one part of our total compensation package and is determined within a range.
- The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.
- Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.
- Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan.
