AIML - Machine Learning Engineer/Scientist, Siri and Information Intelligence

$175,800 - $312,200/Yr

Apple - Cupertino, CA

Full-time - Mid Level

Cupertino, CA

Computer and Electronic Product Manufacturing

About the position

The AIML Information Intelligence team at Apple is focused on developing innovative technologies in artificial intelligence, machine learning, and natural language processing. This role involves working on large-scale machine learning and deep learning projects to enhance Open Domain Question Answering and create essential components for AI applications. The position requires collaboration with researchers and data scientists to implement cutting-edge generative AI technologies across various Apple products, including Siri and Safari.

Responsibilities

• Analyzing search ranking and relevance requirements, issues, and opportunities
• Developing, fine-tuning, and evaluating domain-specific Large Language Models for various tasks and applications in Apple's AI-powered products
• Conducting applied research to transfer cutting-edge research in generative AI to production-ready technologies
• Understanding product requirements and translating them into modeling and engineering tasks
• Building machine-learned models for question answering, search relevance, ranking, and query understanding problems
• Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, and Lookup
• Building end-to-end production systems including query understanding and ranking to power search and open domain question answering
• Utilizing Spark, Hadoop MapReduce, Hive, and Impala for distributed data processing

Requirements

• Experience in machine learning, deep learning/LLM, information retrieval, and natural language processing
• Experience in prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs
• Proficiency in Python and at least one of the following languages: Go, Java, C++
• Excellent knowledge and practical skills in major machine learning algorithms
• Excellent data analytical skills
• Good interpersonal skills and ability to work as a team player

Nice-to-haves

• Experience with Large Scale Data-Mining and/or Machine Learning
• Experience with ML and LLM model inference optimization
• MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science, or related field

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Discretionary bonuses or commission payments
• Relocation assistance