Highlights
Demonstrated expertise in machine learning research Publication record in relevant machine learning conferences (e.g., NeurIPS, ICML, ICLR, etc.) and/or relevant speech conference/Journals (e.g., Interspeech, ICASSP, ASRU, etc.) Hands-on experience working with deep learning toolkits such as PyTorch Strong mathematical skills in linear algebra and statistics PhD, or equivalent practical experience, in Computer Science, or related technical field. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.
Numbers & Facts
| Location | Cupertino, CA |
| Industry | Computer/IT Services |
| Company Size | 10,000 employees or more |
| Year Founded | 1976 |
| Website | https://www.apple.com/jobs |
Description
Play a part in building the next revolution in speech and machine learning technology. Were looking for passionate researchers to work on ambitious, curiosity-driven, long-term speech research projects. In this role, youll have the opportunity to work on innovative foundational research in speech technology and machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues. In this position, you will be responsible for pushing the boundaries of machine learning research, with a focus on running state-of-the-art speech models efficiently on-device. You will collaborate with researchers to push the state-of-the-art in the speech domain, specifically focusing on ASR and speech language models. You will publish your results in top conferences, making sure that your research results are reproducible and of high quality. You will prepare technical reports for publication and conference talks, and have the opportunity to collaborate with broader teams across Apple.Demonstrated expertise in machine learning research Publication record in relevant machine learning conferences (e.g., NeurIPS, ICML, ICLR, etc.) and/or relevant speech conference/Journals (e.g., Interspeech, ICASSP, ASRU, etc.) Hands-on experience working with deep learning toolkits such as PyTorch Strong mathematical skills in linear algebra and statistics PhD, or equivalent practical experience, in Computer Science, or related technical field.Ability to formulate a research problem and design, experiment, implement, and communicate solutions. Ability to work in a diverse, collaborative environment High-quality open-source contributions to related projects Strong presentation skills for internal and external communications.
About Company
We bring amazing people together to make amazing things happen.
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
About Apple
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.