Siri - Senior Machine Learning Engineer, Siri Natural Language Understanding

Summary

Posted: Mar 9, 2020

Weekly Hours: 40

Role Number: 200066418

Machine Learning has already made a deep impact in Apple's front-line products, such as Siri. Machine learning engineer at Siri's Natural Language team are taking this a step further by redefining artificial intelligence, and creating groundbreaking technology for natural language processing, machine learning, and large scale systems. Come join the Siri's Natural Language team, and work with the people who built the 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 working on large-scale NLU systems a strong asset
  • Experience as a 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
  • Strong background in machine learning, deep learning, and natural language processing, as demonstrated 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)
  • 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 a proven ability to handle multiple projects with strict deadlines
  • Prior experience with applying large-scale tools (e.g. MapReduce, Hadoop, Hive Spark) to large quantities of textual data is an asset
  • Experience in the iOS development ecosystem (e.g. Swift, Objective-C, CoreML, or SiriKit) is a plus


Description

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 / Tech Lead in our growing Seattle, WA office 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 creating 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, software engineering, and have strong leadership potential. You 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 and NLP, 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 asset. In 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 essential. This position involves a wide variety of skills and innovation. In 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.

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 years of significant engineering/product experience will also be considered

Additional Requirements


Back to top