The point where experts and best companies meet
Apple AIML - Machine Learning Engineer Siri Information Intelligence United States, California 133070420
14.04.2025
Share
As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications.
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for highly motivated machine learning engineers and researchers having strong machine learning and deep learning fundamentals with hands-on experience in fine-tuning deep learning and large language models. This role will have the following responsibilities: - 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
- 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.
- 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
These jobs might be a good fit
