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Machine Learning Applied Researcher - Speech, Vision & Audio - Apple
ML Engineer
Lead cutting‑edge research in speech, vision and audio, developing deep learning models that power next‑generation products. Drive end‑to‑end pipelines from data curation to deployment, collaborating with cross‑functional teams to translate research into scalable solutions.
About the role
Key Responsibilities
- Design, prototype, and evaluate novel machine learning models for speech, vision, and audio tasks.
- Build end‑to‑end data pipelines, including data collection, annotation, preprocessing, and augmentation.
- Collaborate with product, engineering, and design teams to integrate research prototypes into production systems.
- Publish findings in conferences and journals, and maintain technical documentation.
- Mentor junior researchers and contribute to a culture of continuous learning.
Requirements
- PhD or Master’s in Computer Science, Electrical Engineering, or related field with focus on ML/AI.
- Strong experience with deep learning frameworks (PyTorch, TensorFlow) and Python.
- Proven track record in speech, vision, or audio research with published work.
- Excellent problem‑solving skills and ability to translate research into production‑ready solutions.
- Effective communication skills and a collaborative mindset.
Skills
machine learningcomputer visionpythondeep learning