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# AIML - Machine Learning Researcher

- **Company:** Apple Inc.
- **Location:** Santa Clara, CA, United States
- **Salary:** $142,300.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Apple Products, C++ (Programming Language), Cloudera Impala, Data Mining, Distributed Computing Environment, Apache Hadoop, MapReduce, Apache Hive, Information Retrieval, Python (Programming Language), Machine Learning, Natural Language Processing, Systems Integration, Large Language Models, Prompt Engineering, Apache Spark, Deep Learning, Siri, Data Analytics, Artificial Intelligence Markup Language (AIML), Golang
- **Published:** September 1, 2026
- **Apply:** https://www.themuse.com/jobs/apple/aiml-machine-learning-researcher-data-and-ml-innovation-d81692

## About the Role

Excellent data analytical skills

Good interpersonal skills and team player

PhD preferred

Minimum Qualifications

PhD, MS or equivalent experience

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 following languages: Python, Go, Java, C++

## Description

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, NLP experience and solid engineering skills in creating outstanding 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 pioneering research in generative AI to production ready technologies

 - Understanding product requirements, translate them into modeling tasks 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 end-to-end production system including query understanding and ranking to power search

 - Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing