AIML - Machine Learning Engineer, Siri and Information IntelligenceApple • United States
AIML - Machine Learning Engineer, Siri and Information Intelligence
Apple
- United States
- United States
À propos
Apple is creating groundbreaking technology for artificial intelligence, machine learning, and natural language processing. The Machine Learning Engineer will conduct research and development to improve Open Domain Question Answering and Summarization, while developing sophisticated models for understanding user queries and synthesizing information.
Responsibilities : • Conduct research and development on state-of-the-art deep learning and large language models for various tasks and applications in Apple’s AI-powered products • Developing, fine-tuning, and evaluating domain-specific Large Language Models for various NLP tasks including summarization, question answering, search relevance/ranking, entity linking and query understanding problems • Conducting applied research to transfer the cutting edge research in generative AI to production ready technologies • Understanding product requirements, translate them into modeling tasks and engineering tasks • Stay up to date with the latest advancements and research in deep learning and large language models
Qualifications : Required : • Master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • Experience working with Deep learning or LLM model development for various NLP tasks and RAG applications including prompt engineering, training data collection and generation, model fine-tuning and model evaluation • Experience working with Python and at least one of the deep learning frameworks such as TensorFlow, PyTorch, or JAX.
Preferred : • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • At least 1 year of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas: Supervised Fine-tuning (SFT) with Rejection Sampling, Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.), Parameter efficient fine-tuning techniques (e.g LoRA), Hallucination reduction and factual accuracy improvements, Designing and implementing safety guardrails • At least 4 years of experience with large-scale model training, optimization, and deployment • One or more scientific publications in various conferences and journals • Outstanding communication and interpersonal skills with ability to work with cross-functional teams.
Company :
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software. Founded in 1976, the company is headquartered in Cupertino, USA, with a team of 10001+ employees. The company is currently Late Stage.
Compétences linguistiques
- English
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