Sr. Machine Learning Engineer, Siri Global

Join the Siri team at Apple! Build and contribute to a product and company that that is building products personal devices and software designed to enrich peoples lives. Work on building and advancing the worlds most popular intelligent assistant that helps millions of people get things done just by asking. nnGlobal Siri works to take Siri to the next level of intelligence and capabilities in all languages and markets. We build machine learning models systems and software that understands the intents hundreds of millions of users and their billions of requests to Siri on Apple devices such as iPhone iPad Apple Watch Mac AirPods HomePod Vision Pro and Apple TV. On the Global Scaling Data and Tools team we work on ML modeling and algorithms data platforms and technologies and end-to-end ML product engineering to surprise and delight customers around the world in the languages that they speak.

We seek a Senior Machine Learning Engineer / Tech Lead who is passionate about collaborating across teams in Siri and Apple to design build and deploy world-class machine learning systems that help Siri best serve the needs of our this role you will work on creating and improving the accuracy speed reliability and capability of Global Siris models and systems. We are particularly interested in full-stack machine learning engineers with strong experience in research software engineering and have strong leadership should be passionate about building outstanding products and using the full spectrum of your skills to drive technical and organizational advancements. The ideal candidate is equally comfortable with the latest academic/research advancements in ML LLMs NLP and related areas diving into all parts of the full engineering/machine learning stack to diagnose user-facing issues and develop principled solutions and deeply engaging in product metrics and goals with product managers designers and executives. Software engineering experience with both server-based and client-side (e.g. on-device) models is a definite this role the ability to communicate complex technical ideas to diverse audiences including research scientists data scientists engineers designers managers and other stakeholders across Siri and Apple is also position involves a wide variety of skills and addition to your individual technical contributions there are immense opportunities to multiply the impact those around you by mentoring motivating and challenging engineers to deliver features at high quality. If you are looking for a role that is challenging impactful has immense growth opportunities this role is for you.

Masters or PhD degree in computer science software engineering machine learning language technologies or related fields; outstanding candidates with Bachelors degrees and multiple years years of significant engineering/product experience will also be consideredn10 years of experience developing shipping and measuring industry-scale machine learning-based software systems; experience working on large-scale NLU systems a strong as a senior engineer tech lead or engineering manager for a machine learning-based product including mentoring other engineers working with program and product managers and communicating accomplishments metrics and challenges to cross-functional stakeholders and leaders nExpertise and experience in Large Language Models (LLMs) or other foundation models ideally demonstrated through publications or shipping foundation model-based features and background in machine learning deep learning and foundation models as demonstrated through top-tier publications and/or successful development of training data models or software in commercial machine learning software engineering skills: Proficiency in at least one object-oriented language (e.g. Java C Objective-C or Swift) scripting languages (e.g. Python Ruby bash) and deep learning/machine learning frameworks (e.g. TensorFlow PyTorch or CoreML)nOutstanding problem solving critical thinking creativity organizational design and interpersonal skills; ability to work with all levels of engineers scientists designers and communicate effectively with management leadership and cross-functional partners

Experience in data science and analytics including data annotation statistical analyses A/B testing and/or conducting experiments and investigations in large-scale usage data environmentsnSelf-starter with a proven ability to handle multiple projects with strict deadlines nExperience in the iOS development ecosystem (e.g. Swift Objective-C CoreML or SiriKit) is a plusnExperience in localization internationalization machine translation or language technologies is an asset