5+ years of hands-on industry experience developing deep learning systems: training (and finetuning) models, designing model architectures, researching/experimenting with new ideas, defining and creating metrics, building datasets and performing error triages.
Deep understanding of Generative AI techniques/literature and proven track record of training (or deploying) LLMs/MLLMs to solve complex problems.
Proficiency in Python and one of the deep learning frameworks (such as PyTorch, JAX, or Tensorflow).
Excellent communication: strong interpersonal, verbal and written skills.
Masters or PhD in Computer Science, Machine Learning, Engineering or equivalent professional experience.
Demonstrated experience with building AI agents, LLMs for tool use, AudioLLMs and Multimodal-LLMs.
Experience creating and maintaining large scale, robust machine learning systems and infrastructure for data, modeling and metrics for use in multi-person team setting.
Experience developing, shipping and improving machine learning models in a production environment or a solid publication record in top-tier conferences like NeurIPS, ICML, ICLR, ICRA etc.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.