AIML - Staff Machine Learning Engineer - Answers, Knowledge & Information

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

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 302K

Job location

Seattle, United States of America

Tech stack

Artificial Intelligence
Apple Products
Distributed Systems
Information Retrieval
Machine Learning
TensorFlow
Search Technologies
Software Engineering
PyTorch
Large Language Models
Deep Learning
Siri
Information Technology
Artificial Intelligence Markup Language (AIML)

Job description

Do you want to make Siri and Apple products smarter for our users? The Answers, Knowledge & Information 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 apple intelligence, 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.

In our team, you will be leveraging and improving upon the latest LLM/ML techniques in order to understand queries, rank user intents, rank documents, and generate answers to users' questions. Our team is responsible for training and deploying these models at scale, using the latest advances for online inference optimization., 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 machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills.

Requirements

Do you have a Master of Science?, PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field

Experience in RAG, LLM Reasoning, and LLM Agent

Experience working in a complex organization with multiple collaborators, strong track record in scaling and launching projects in this setting

Minimum Qualifications

MS in Computer Science or related field

5+ years of industry related experience, working in collaborate environments

Utilizing: PyTorch, TensorFlow, and JAX for training and deploying deep learning models

Understanding product requirements and then translating them into modeling tasks and engineering tasks

Building machine-learned models for search relevance ranking, query understanding, and summarization","internalDetails":null

Benefits & conditions

4.14.1 out of 5 stars 2651 NE 49th St, Seattle, WA 98105 $171,600 - $302,200 a year, Pulled from the full job description

  • Employee stock purchase plan
  • Health insurance
  • Retirement plan
  • Dental insurance
  • RSU, 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 $171,600 and $302,200, 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.

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