AIML - Machine Learning Engineer/Scientist, Information Intelligence
Job Summary
Job Description
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. This role involves creating outstanding question answering service search and NLP services. Responsibilities include analyzing search ranking and relevance requirements, developing and fine-tuning large language models, conducting applied research to integrate cutting-edge generative AI technologies, understanding product requirements and translating them into modeling tasks, building machine-learned models for various tasks, integrating search functions into Apple products, and building end-to-end production systems. Utilizing Spark, Hadoop MapReduce, Hive, and Impala for distributed data processing.
Must have:
- Applied machine learning experience
- Solid engineering skills
- Experience with Large Language Models
- Knowledge of search relevance and ranking
- Experience in building end-to-end production systems
2 skills required
Job Details
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 people with excellent applied machine learning experience and solid engineering skills in creating outstanding question answering service search and NLP services. This role will have the following 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 the cutting edge research in generative AI to production ready technologies - Understanding product requirements, translate them into modeling tasks 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, Lookup, etc. - Building end-to-end production system including query understanding and ranking to power search and open domain question answering - Utilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing
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