Machine Learning Engineer, Natural Language Generation (NLG) , Input Experience

From our origins in iPhone keyboard input the Input Experience NLP team has expanded to a broad charter: improve the user experience with robust language understanding and personalized text composition across languages and Apple platforms. We build the ML models that underlie Summarization Smart Reply Writing Tools and other features deeply integrated into Apple products. Generative AI is a transformative technology that we have only just begun to incorporate into our digital lives to help everyday people digest the deluge of information they receive and express themselves more clearly. On our team you will help build the future and have a voice in the shape it takes. nnWe are looking for a Machine Learning Engineer to develop the next generation of our ML models so that they better serve the full range of our customers across languages writing styles and other 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 focused experimentation and iteration that makes the user experience magical. You will join an ambitious organized and collaborative team. Were in a unique position to integrate the latest innovations from the ML community and work on features that reach everyday users including your family and friends. Youll work closely with teams across Apple collaborating on human interfaces user studies internationalization ML technologies system integration and 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 others 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. Its 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 youll do more than join somethingyoull add something.

As a Machine Learning Engineer on our team you will enable next-generation AI applications by building toolkits and workflows that scale to increasingly sophisticated modeling tasks. You will design the abstractions and implement the algorithms that facilitate efficient data synthesis data curation prompt engineering and model evaluation. You will contribute to a company-wide effort to build robust modeling pipelines that optimize our ability to iterate rapidly and continuously deliver improvements to our customers. Finally you will help define and refine new features that expand both the depth of Apple Intelligences capabilities and the breadth of its support for the full spectrum of Apple customers

Development and maintenance of data and model pipelines that scale to deployment in productionnBuilding toolkits for iterating on model quality via data synthesis and prompt engineeringnDefinition of robust automated evaluation mechanisms to facilitate hillclimbing on model qualitynFailure analysis from user feedback to understand shortcomings of our models and evaluation datanResearch into state-of-the-art techniques for improving model quality and robustnessnImplementation of experiments and simulations to assess the value of model changes

MS or PhD in Computer Science or related field nStrong Python programming skills with experience developing production-quality Python modulesnExperience building and maintaining model pipelines end-to-end from data curation to evaluationnSolid background in machine learning data science natural language processing or statistics

Familiarity with LLMs such as SFT RHLF prompt engineering data synthesis automatic evaluation and RAGnExpertise in MLOps and a passion for software quality based on CI/CD principlesnExcellent written and verbal communication skillsnBackground in linguistics fluency in multiple languages or a passion for scaling NLP features for global audiencesnHistory of developing Python packages and supporting users and other teams