Machine Learning Data Researcher
Core
Designing physical signal data collection strategies, curating datasets, and training deep learning models to improve accuracy and interpretability for Apple hardware products.
Role type
Senior IC machine learning researcher (physical signal data)
Builds
Deep learning models for physical signal processing
Domain
Consumer electronics / Deep learning / Signal processing
Deliverable
production ML models
Required skills
Deep learning model training and evaluation, physical signal data curation, experimental design and statistical validation, model failure analysis, Python, PyTorch, SQL
Preferred skills
Model explainability and interpretability, continual/online learning, data-efficient training strategies, speech/audio/signal processing systems, data quality monitoring frameworks, hypothesis testing and uncertainty quantification
Technologies
PyTorch, Python, SQL
Responsibilities
Investigate model failures and implement fixes using explainability methods; Own data curation for physical signal datasets; Train and iterate on deep learning models; Design and execute end-to-end experiments; Define data collection strategies; Design and maintain data quality monitoring solutions
Seniority
Senior, hands-on IC
