Machine Learning Engineer, Apple Intelligence

Machine Learning Engineer, Apple Intelligence. Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It is the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you will do more than join something you will add something. Product Engineering International, part of the esteemed Software Engineering Organization, is seeking an accomplished ML Researcher to spearhead the development of cutting-edge generative modeling pipelines for a diverse range of popular international languages. As a key pillar of Apple Intelligence, you bring impact to billions of users with your ML expertise, engineering passion, and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc. Our team specifically focuses on generative technologies for key International markets and ensure that experience is top class for the popular languages in these markets. If you want to amplify your strong ML and NLP skills into user experiences that will reach every person around you, this is the perfect opportunity! In this pivotal role, you will be at the forefront of natural language processing, designing and implementing end-to-end solutions that will: Drive Innovation in Generative Modeling: Focus exclusively on building and optimizing generative models for international languages. Full-Stack Language Expertise: Own the entire generative modeling pipeline, from data preprocessing and model architecture design to training, evaluation, and deployment. Language Diversity: Prioritize working with a variety of popular international languages, ensuring our models are culturally and linguistically adaptable. Are you a passionate ML researcher with a deep interest in natural language processing and a talent for building generative models that work seamlessly across languages? Join our team and make a meaningful impact! Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.