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.