AIML - Machine Learning Researcher, Data and ML Innovation

Apple Inc.
Seattle, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Seattle, United States of America

Tech stack

Java
Artificial Intelligence
Apple Products
C++
Cloudera Impala
Data Mining
Distributed Computing Environment
Hadoop
MapReduce
Hive
Information Retrieval
Python
Machine Learning
Natural Language Processing
Systems Integration
Large Language Models
Prompt Engineering
Spark
Deep Learning
Siri
Data Analytics
Artificial Intelligence Markup Language (AIML)
Go

Job 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

Requirements

  • 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+ Preferred Qualifications

  • Excellent data analytical skills

  • Good interpersonal skills and team player

  • PhD preferred

About the company

Apple

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