Job Description
**Role Number:** 200588345-0836
**Summary**
The future of AI is on-device. On the Siri team, we're solving the defining challenge: building and shipping powerful, LLMs that run with extreme efficiency across hundreds of millions of iPhones, Watches, and Macs. You will own the full ML stack, from data to deployment, bridging the gap between bleeding-edge research and product-critical models. This is where the hardest problems in applied ML are being solved.
**Description**
The frontier of AI isn't in the cloud anymore. It's in your pocket. The real challenge is building models that are not only powerful but also private, efficient, and intelligent enough to act as a true assistant on a user's device.
At Apple's Siri team, this isn't a research paper—it's our daily work. We are building the next generation of LLMs and deploying them at the largest customer scale in the world. We're looking for engineers who thrive on solving the puzzles that exist at the bleed...
**Summary**
The future of AI is on-device. On the Siri team, we're solving the defining challenge: building and shipping powerful, LLMs that run with extreme efficiency across hundreds of millions of iPhones, Watches, and Macs. You will own the full ML stack, from data to deployment, bridging the gap between bleeding-edge research and product-critical models. This is where the hardest problems in applied ML are being solved.
**Description**
The frontier of AI isn't in the cloud anymore. It's in your pocket. The real challenge is building models that are not only powerful but also private, efficient, and intelligent enough to act as a true assistant on a user's device.
At Apple's Siri team, this isn't a research paper—it's our daily work. We are building the next generation of LLMs and deploying them at the largest customer scale in the world. We're looking for engineers who thrive on solving the puzzles that exist at the bleed...