Summary

Posted: Jan 3, 2021

Weekly Hours: 40

Role Number:200213504

Join the Siri team at Apple! Build and contribute to a product and company that that is building products, perso...Summary

Summary

Posted: Jan 3, 2021

Weekly Hours: 40

Role Number:200213504

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 people's lives. Develop groundbreaking technology for large scale systems, spoken language, big data, natural language processing, and artificial intelligence. And work with the people who built the world's most popular intelligent assistant that helps millions of people get things done - just by asking.

Key Qualifications

• 5+ years of experience developing, shipping, and measuring industry-scale machine learning-based software systems
• Experience in the iOS development ecosystem (e.g. Swift, Objective-C, CoreML, or SiriKit) is a strong asset
• Full-stack engineering experience in several areas (e.g., backend data engineering systems, machine learning systems, and user interfaces)
• Prior experience with building or using large-scale data engineering systems (e.g. MapReduce, Hadoop, Hive, Spark) to large quantities of textual data is an asset
• Strong background in machine learning, deep learning, and natural language processing, as proven through top-tier publications and/or successful development of training data, models, or software in commercial machine learning systems
• Deep understanding of fundamentals of machine learning and natural language processing, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking.
• 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)
• 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

The Siri Natural Language Understanding team works to take Siri to the next level of intelligence and accuracy using advanced deep learning/machine learning techniques in natural language processing. We build machine learning models, systems, and software that understands the intents of our millions of users and their billions of requests to Siri, on Apple devices such as iPhone, iPad, Apple Watch, Mac, AirPods, HomePod, and Apple TV.

We seek a Senior Machine Learning Engineer 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 users. In this role, you will work on crafting and improving the accuracy, speed, reliability, and capability of the Siri Natural Language Understanding's models and systems, with a particular focus on Siri product areas of strategic importance. We are particularly interested in "full-stack" machine learning engineers with strong experience in research and software engineering skills

The ideal candidate is equally comfortable with the latest academic/research advancements in ML and NLP, diving into all parts of the full engineering/machine learning stack to diagnose user-facing issues and develop principled solutions. S/he will deeply engage 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 asset. In this role, the ability to communicate complex technical ideas cross functionally across Siri and Apple is also essential.

Education & Experience

Master's or PhD degree in computer science, machine learning, language technology, or related fields; outstanding candidates with Bachelor's degrees and multiple years of significant engineering/product experience will also be considered

Additional Requirements