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
MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field
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.
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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.