November 14, 2024

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

Mid • On-site

$135,400 - $250,600/yr

Seattle, WA

Summary

Posted:
Role Number:200537389
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. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. 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.

Description

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. Together, you will be pushing the boundaries of Knowledge Question Answering in Siri. As part of the Knowledge Quality team, 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. You will have 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.

Minimum Qualifications

  • Excellent programming skills in mainstream programming languages such as Python, Scala, and Go.
  • Prior 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 the Apache software stack (e.g. Spark)
  • Experience with continuous integration and continuous development solutions (e.g. Jenkins, etc.)
  • Experience with cloud-native deployment (e.g. Kubernetes) is a good plus
  • Broad knowledge of computer science and systems; ability to quickly learn new domains
  • 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 is preferred

Preferred Qualifications

  • MS or PHD in Computer Science or a related field

Pay & Benefits

  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.

    Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

    Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.