Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms
Core
Lead R&D and engineering to build and improve summarization capabilities for Apple users using on-device and cloud LLMs, including world knowledge-seeking and web page gist generation.
Role type
Senior Staff Machine Learning Engineer (Generative AI & Summarization)
Builds
On-device LLM models, cloud summarization models, groundedness models, safety models, and software frameworks for context integration.
Domain
Consumer Technology / Generative AI / Natural Language Processing
Deliverable
production ML models
Required skills
Leading engineering/applied research in NLP, delivering SOTA generative AI models, full ML life cycle delivery, on-device LLM development, cloud LLM inference, RAG, LLM post-training, RLHF/RLAIF, reward modeling, policy optimization, hallucination reduction
Preferred skills
LLM post-training, advanced RL-based methods, RLHF/RLAIF, reward model development, policy optimization algorithms, hallucination reduction methods, engineering implementation of RL models
Technologies
LLMs, RAG, RLHF, RLAIF, reward models, policy optimization algorithms
Responsibilities
Drive E2E R&D and engineering for high-quality summarization, develop SOTA LLM-based generative models, create software frameworks for fast and cost-efficient inference, integrate Apple ecosystem with LLM infrastructure, devise product vision and strategy, collaborate with organizational partners
Seniority
Senior Staff, hands-on IC with leadership
