AIML - Machine Learning Researcher, Speech

Summary

Play a part in building the next revolution in speech and machine learning technology. We're looking for passionate researchers to work on ambitious, curiosity-driven, long-term speech research projects. In this role, you'll 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.

Description

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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.