We are looking for a Machine Learning Tools Engineer who is passionate about collaborating across teams in Siri and Apple. Expect to design build and deploy extraordinary machine learning systems that help Siri best serve the needs of our users. Youll create and improve the accuracy and capability of Global Siris models and systems. We are interested in full-stack machine learning engineers with strong experience in software engineering research and leadership potential. Are you passionate about building outstanding products at the intersection of Machine Learning and Software Engineering The ideal candidate has expertise in building scalable LLM-powered solutions machine learning lifecycle management data generation methods model training and evaluation. As well as possessing strong fundamentals and a passion for software engineering and system design. It is important to be able to dive into the latest academic/research advancement in ML LLMs and NLP. As well as the ability to communicate complex technical ideas to diverse audiences including research scientists data scientists engineers designers managers and other partners across Siri and Apple.
Proven experience developing shipping and measuring industry-scale machine learning-based software systems; experience working on large-scale LLM or NLU systems.
Expertise and experience in LLMs or other foundation models ideally demonstrated through publications or shipping tools foundation model-based features and products.
Excellent 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)
Outstanding 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 environments
Self-starter with the ability to balance multiple projects
Experience in the iOS development ecosystem (e.g. Swift Objective-C CoreML or SiriKit)
Experience in localization internationalization machine translation or language technologies is a great plus
Masters or PhD degree in computer science software engineering machine learning language technologies or related fields; outstanding candidates with Bachelors degrees or equivalent experience and multiple years of significant engineering/product experience will also be considered
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