Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.\\n\\nAt Apple, imagination and ambition come together to shape what's next. Every product we build, every service we design, and every experience we deliver is born from collaboration-making each other's ideas stronger and more impactful. We believe in thinking differently, challenging the status quo, and pushing the boundaries of technology and intelligence to create products that bring joy and change lives for the better. Our strength comes from the diversity of our people and perspectives, and when everyone is included, we do the best work of our lives. If you're bold, curious, and passionate about building best-in-class technology, Apple is the place to not just join something-but to add something.\\n\\nAs part of this group, you will develop GenAI search and recommendation application end to end and partner with a lot of engineering teams across Apple.
The Partner Adoption team, part of the Machine Learning Platform Technologies organization, is the backbone of onboarding applications to Apple's world-class search and recommendation platform. In this role, you'll work end-to-end on feature and product design across a broad range of Apple services-including Apple Music, TV+, App Store, Books, Games, Podcasts, Siri, and more. As a key member of the team, you'll design and build large-scale server-side functionality while also exploring and delivering cutting-edge GenAI applications and features powered by large language models. You'll partner closely with product, platform, and design teams to bring innovations to life-reaching millions, and even billions, of users worldwide with the reliability and excellence Apple is known for.
Bachelor's degree or higher in Computer Science or related technical field.\n5 year+ industry experience in distributed system and ML Modeling (Search, Recommendation, NLP, Ads, Statistics).\nExperience with high throughput services particularly at supercomputing scale.\nProficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.\nProficient 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\nFamiliar with embedding model and llm serving like Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.\nFamiliar with very large scale serving system
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 99419deea67b9d825927686444627714
- Posted 4 hours ago
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