The frontier of AI isnt in the cloud anymore. Its 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 users Apples Siri team this isnt a research paperits our daily work. We are building the next generation of LLMs and deploying them at the largest customer scale in the world. Were looking for engineers who thrive on solving the puzzles that exist at the bleeding edge of hardware software and machine is a full-stack ML role for those who want to own their work from concept to Playground:* Training & Fine-Tuning: Architect and train LLMs specifically for assistant behavior. This is your opportunity to define what reasoning and task completion mean for a billion users.* Performance & Optimization: Master the art of model surgery. Youll design and implement novel context and adapter strategies to make our models faster and smarter within the tight constraints of on-device deployment.* Data as a Product: You understand that world-class models are built on world-class data. You will own the curation augmentation and evaluation pipelines that are the lifeblood of our systems.* System Architecture: Your insights will shape not just the model but the entire system. Youll work with cross-functional experts in software research and product to build a cohesive intelligent a team that values velocity and pragmatism. We debate we build we measure and we ship. If youre a builder with elite software engineering skills and a proven passion for pushing the boundaries of applied ML your work will have a home to solve problems that will define the next decade of personal computing Apply now.
* Experience with shipping LLM based products
* Excellent python engineering skills and knowledge of deep learning frameworks (one of Pytorch Jax Tensorflow)
* Machine Learning Research track record or Excellent knowledge of Machine Learning State of the Art
* Masters or PhD in Computer Science Machine Learning Engineering or equivalent professional experience
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