Senior Machine Learning Research Engineer, NLP, Input Experience

Our teams mission is to enhance ML powered user experiences on all Apple platforms through personalized multimodal input composition and understanding with a global perspective. We achieve this daily by collaborating at the intersection of natural language processing machine learning and software engineering. nnWe are responsible for the machine learning and software (non-UI) development for several user-facing Apple Intelligence features including Writing Tools Summarization Found In Apps and Messages/Mail Smart Replies. Additionally we oversee the keyboard machine learning and software stack which includes autocorrection suggestions and inline completions. nnIf youre passionate about being part of an ambitious organized and collaborative team that delivers user experiences with pioneering ML partnered with the best UI designs join the Input Experience NLP team. Here youll have the opportunity to transition from building groundbreaking NLP models to optimizing them for various hardware backends and user interfaces that create an enchanting experience.

As a Machine Learning Research Engineer on our team youll build and iteratively refine model pipelines that enable machine learning driven user experiences on Apple products. Youll conduct experiments and create prototypes for innovative approaches to enhance the quality of our models and expand their intelligence. Additionally youll implement the building blocks and infrastructure that integrate these innovations into our production pipelines and contribute evaluation metrics to measure progress.

Building models for new user interface techniques to enhance model and maintenance of scalable modeling pipelines that support multiple languages and production robust automated evaluation metrics to facilitate model quality improvement through failure analysis to identify and address the shortcomings of our and synthesis of representative training and evaluation of experiments and simulations to assess the value of model with language experts and QA to refine modeling approach in consideration of language-specific requirements

MS or PhD in Computer Science or related field with at least 2 years of industry experiencenStrong Python programming skills with experience developing production-quality Python modulesnSolid background in machine learning data science natural language processing or statistics

Experience building and maintaining model pipelines end-to-end from data curation to evaluationnAbility to design and perform experiments that bring ML and NLP research ideas to productionnFamiliarity with LLMs such as SFT RHLF prompt engineering data synthesis automatic evaluation and RAGnExcellent written and verbal communication skillsnHistory of developing in Python and / or SwiftnRecord of publications innovations and/or leadership