From our origins in iPhone keyboard input, the Input Experience NLP team has expanded our broad charter: enhancing the user experience with robust language understanding and personalized text composition, across all Apple platforms and languages. Generative AI is a transformative technology, and we are just beginning to harness its potential to help users digest information and express themselves more clearly. On our team, you will help build the future and shape its evolution. Our work has been featured in multiple WWDC keynotes including Intelligent Input in 2023, Writing Tools, Summarization, Smart Reply as part of Apple Intelligence in 2024! Building on years of innovation in intelligent systems and on-device machine learning, we are now scaling efforts in bringing powerful foundation models directly into everyday workflows.
We are looking for Applied LLM Research Engineer to innovate and develop technology that brings powerful foundation models directly into everyday user workflows, across languages, writing styles, and personal context, in a privacy-preserving way. You will build, run, and refine the training and evaluation pipelines that define our slice of Apple Intelligence, driving the experimentation and iteration that makes the user experience feel magical. You will join an ambitious, collaborative team in a unique position to bridge the gap between cutting-edge ML research and features used by millions. You will work closely with cross-functional partners in human interfaces, user studies, internationalization, and system integration. You are not just developing technology; you are crafting experiences that feel like magic to the end user.
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience 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's 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'll do more than join something-you'll add something.
As an Applied LLM Research Engineer, you will enable next-generation AI applications using Apple Foundation Models. You will sit at the intersection of cutting-edge research and product reality, bridging the gap between raw model performance and the nuanced needs of Apple customers worldwide. You will explore, design, and implement emerging techniques, ensuring alignment with product goals, privacy requirements, and performance metrics. You will contribute to all phases of model development: problem formulation, experimentation, evaluation, fine-tuning, and continuous improvement. Finally, you will help define and refine new features that expand both the depth of Apple Intelligence's capabilities and the breadth of its support for our global customer base.
PhD in CS/EE/Physics/Statistics/etc.; or Bachelor's or Master's in CS/EE/Physics/Statistics/etc combined with 2 years of relevant experience
Strong foundations in ML & LLM, including core principles, techniques and practical applications
Familiarity with post-training techniques such as SFT, RLHF, data synthesis, Parameter-Efficient Fine-Tuning
Familiarity with training frameworks such as PyTorch, JAX, TensorFlow, or equivalent
Experience with fine-tuning and deploying large ML models for real world products
Experience curating, filtering, and synthesizing high-quality training datasets at scale
Experience developing and training models for agentic workflows, tool calling and advanced reasoning techniques
Experience with training LLMs with RLVR, reward modeling, environment design
Familiarity with training for computer-use capabilities
Familiarity with designing hardware-efficient model architectures, optimizing inference latency, and implementing advanced decoding strategies, speculative decoding
Active contributor to complex, large-scale codebases, with a strong emphasis on writing high-quality, maintainable, and well-tested code.
Experience using AI-assisted development tools (e.g., Claude, Copilot, or similar) to accelerate experimentation, code development, and research workflows
Excellent programming and communication skills
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.