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AIML - Machine Learning Engineer (Knowledge Extraction), Siri and Information Intelligence

Apple is a technology company known for its innovative products and services, including Siri and Information Intelligence.
$135,400 - $250,600
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI
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Description For AIML - Machine Learning Engineer (Knowledge Extraction), Siri and Information Intelligence

The Apple Knowledge Quality Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri and Spotlight. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.

The Knowledge Quality team is looking for extraordinary Machine Learning engineers to join a team of world-experts on Large-Scale Data Management and Machine Learning Systems. You will design and develop features for a platform that touches upon large-scale data management, machine-learning systems over graph data, and knowledge extraction over semi-structured and unstructured data feeds. This role offers the outstanding opportunity to change how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for.

Key responsibilities include:

  • Designing and developing machine learning solutions for Knowledge Q&A
  • Working with large-scale data management systems
  • Developing machine-learning systems over graph data
  • Performing knowledge extraction over semi-structured and unstructured data feeds
  • Contributing to features that power Siri and Spotlight
  • Collaborating with a team of world-experts in Machine Learning and Data Management

This role requires excellent programming skills, experience with Machine Learning frameworks, NLP, and Large Language Models. You'll be working with large data sets and pipelines, and should have experience with cloud-native deployment. The ideal candidate will have a passion for building phenomenal products and a curiosity to learn.

Last updated 6 months ago

Responsibilities For AIML - Machine Learning Engineer (Knowledge Extraction), Siri and Information Intelligence

  • Design and develop machine learning solutions for Knowledge Q&A
  • Work with large-scale data management systems
  • Develop machine-learning systems over graph data
  • Perform knowledge extraction over semi-structured and unstructured data feeds
  • Contribute to features that power Siri and Spotlight
  • Collaborate with a team of world-experts in Machine Learning and Data Management

Requirements For AIML - Machine Learning Engineer (Knowledge Extraction), Siri and Information Intelligence

Python
Scala
Go
Kubernetes
  • Excellent programming skills in Python, Scala, and Go
  • Experience with Machine Learning Frameworks such as PyTorch and Tensorflow
  • Working experience with NLP and Large Language Models
  • Experience working with large data sets and pipelines, ideally using Apache software stack
  • Experience with continuous integration and continuous development solutions
  • Experience with cloud-native deployment (e.g. Kubernetes) is a plus
  • Broad knowledge of computer science and systems
  • Excellent problem-solving and analytic skills
  • Good interpersonal skills and teamwork
  • Passion for building phenomenal products and curiosity to learn
  • Industry experience of at least 3 years in a similar position
  • MS or PHD in Computer Science or a related field (preferred)

Benefits For AIML - Machine Learning Engineer (Knowledge Extraction), Siri and Information Intelligence

Medical Insurance
Dental Insurance
401k
Equity
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Education reimbursement for career advancement
  • Employee Stock Purchase Plan
  • Discretionary restricted stock unit awards
  • Potential for discretionary bonuses or commission payments
  • Relocation assistance (if eligible)

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