Apple is looking to create ground-breaking Generative AI technology to enable fast, actionable summaries on all devices for all Apps, improving user experiences powered by Apple Intelligence by providing customizable summaries for users' multiple content consumption.
Requirements
- 5+ years of experience in leading engineering/applied research/ML experiences in natural language processing, SOTA generative AI models
- Proven record of consistent delivery of technology/products across the full Machine Learning life cycle
- Strong background and experience in Machine Learning, NLP, and RAG.
- Strong engineering and R&D experience in LLM post-training, advanced RL-based methods to improve LLM models’ safety and quality using RLHF/RLAIF, reward model, advanced RL policy optimization algorithms, cutting-edge hallucination reduction methods, and their engineering implementation, hands-on experience to develop and ship RL based models with high availability, low latency, robustness, and stability.
Responsibilities
- Drive E2E R&D and engineering to generate high-quality summaries and experiences for Apple users.
- Develop SOTA LLM-based generative models, groundedness models, and safety models for accurate, grounded, concise, and safe summaries.
- Develop sophisticated on-device and on-server software frameworks for context integration fast and cost-efficient LLM-based model inference.
- Integrate the Apple ecosystem with Apple’s LLM infrastructure and generative models to deliver delightful user experiences.
- Create ground-breaking Generative AI technology to enable fast, actionable summaries on all devices for all Apps.
- Improve the summarization models’ quality for world knowledge-seeking questions and Safari pages to provide accurate answers and highlight web page gists in real-time.
- Lead the team to develop SOTA LLM-based generative models, groundedness models, and safety models for accurate, grounded, concise, and safe summaries.
Other
- MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field
- Exceptional verbal and written communication skills to lead
- Excellent product vision and sound business acumen.
- Ability to manage long-term strategy and short-term deliverables.
- Strong engineering leadership and fundamentals.
