Not specified (assumed to be flexible based on the company's culture and position requirements).
Ph.d. in computer science or equivalent experience
Expert knowledge of deep learning and transformer architectures
Experience with llm fine-tuning and instruction tuning
Apple is seeking a Senior Applied Researcher to join its Apple Services Engineering team, focusing on generative AI, large language models, and advanced NLP systems. The ideal candidate will have a strong technical background and experience in deploying AI systems at scale
Job Summary
This role sits at the nexus of Apple Services Engineering where deep applied research and large language models converge to drive high-impact innovation.
You will influence foundational intelligence capabilities across the Apple ecosystem while operating with the autonomy expected of senior technical leadership.
The ideal candidate is a hands-on technical leader who has successfully taken novel ideas from research inception to production deployment at unprecedented scale.
Matching Summary
Match Score: 85
Apple is seeking a Senior Applied Researcher to join its Apple Services Engineering team, focusing on generative AI, large language models, and advanced NLP systems. The ideal candidate will have a strong technical background and experience in deploying AI systems at scale.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Ph.D. in Computer Science or equivalent experience
Expert knowledge of deep learning and transformer architectures
Experience with LLM fine-tuning and instruction tuning
Proficiency in Python and PyTorch or TensorFlow frameworks
Experience deploying models in production systems
Nice-to-have
Hands-on experience with Retrieval-augmented generation pipelines
Knowledge of reinforcement learning and RLHF techniques
Experience with model quantization and distillation
Record of publications in top-tier ML/AI venues
Understanding of personalization and ranking algorithms at scale
Key Requirements
Ph.D. in Computer Science, Machine Learning, NLP, Statistics, or related field
Equivalent industry experience delivering production AI systems
Strong understanding of distributed data processing systems like Spark