AIML - Machine Learning Engineer/Scientist, Siri Information Intelligence

$135,400 - $250,600/Yr

Conversant - Seattle, WA

Full-time - Senior

Seattle, WA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

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 query understanding and ranking for search functionalities across various Apple products. The position offers the opportunity to shape future products by creating sophisticated machine learning models and integrating them into Apple's ecosystem.

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 search relevance, ranking, and query understanding problems
• Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
• Building an end-to-end production system including query understanding and ranking to power search
• Utilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing

Requirements

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

Nice-to-haves

• Experience with Large Scale Data-Mining and/or Machine Learning
• Experience with Web Crawling
• Experience with ML and LLM model inference optimization

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
• Participation in Apple's discretionary employee stock programs
• Opportunity to purchase Apple stock at a discount through Employee Stock Purchase Plan