AIML - Sr. Machine Learning Engineer - Data and ML Innovation
Core
Innovating and applying research in foundation models with a focus on audio data, spanning the full ML pipeline from pre-training to post-training evaluation and fine-tuning.
Role type
Senior IC machine learning engineer (audio/foundation models)
Builds
Multi-modal data generation and curation frameworks, robust model evaluation pipelines, and transformative products for Apple software and hardware.
Domain
Consumer technology, audio processing, multi-modal foundation models
Deliverable
production ML models
Required skills
Deep learning, Python, PyTorch/TensorFlow/JAX, self-supervised learning, semi-supervised learning, active learning, novelty detection, statistical modeling
Preferred skills
Multi-modal foundation models, generative AI, multi-modal LLMs, academic publication record, cross-disciplinary problem solving
Technologies
PyTorch, TensorFlow, JAX
Responsibilities
Design self-supervised and semi-supervised representation learning pipelines; apply data selection techniques to improve data efficiency; model data distributions to uncover patterns; guide product teams in selecting effective ML solutions.
Seniority
Senior, hands-on IC