AIML - Machine Learning Engineer, Siri and Information Intelligence

Apple Santa Clara, CA

Company

Apple

Location

Santa Clara, CA

Type

Full Time

Job Description

Summary

Posted: Dec 12, 2024

Weekly Hours: 40

Role Number:200582558

Do you want to make Siri and Apple products smarter for our users? The Siri and Information Intelligence team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits of question answering, assistant response ranking, and search technologies, while also responsible for a production service. We are part of a wider effort to power information across a variety of Apple products - including Siri, Spotlight, Safari, Messages, Lookup, and more. As part of our team, you will be leveraging and improving upon the latest deep learning techniques in order to understand queries, rank user intents, rank documents, and find useful answers to users' questions. Our team is responsible for training and deploying these models at scale, using the latest advances for online inference optimization.

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Description

As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied scientists with a focus in NLP to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills.

Minimum Qualifications

  • Experience in the following:
  • Analyzing search ranking and relevance requirements issues and opportunities
  • Utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning models
  • Understanding product requirements then translating them into modeling tasks and engineering tasks
  • Building machine-learned models for search relevance ranking query understanding and questioning
  • BS in Computer Science or related field

Preferred Qualifications

  • MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field
  • Strong and validated management experience with knowledge of ML development and production systems
  • Strong industry background and experience in search and related technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics)

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 $143,100 and $264,200, 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.

More

  • 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.

Apply Now

Date Posted

01/24/2025

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