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AIML - Sr. Machine Learning Engineer, Answers, Knowledge & Information (AKI)

Apple

AIML - Sr. Machine Learning Engineer, Answers, Knowledge & Information (AKI)

Apple

Santa Clara, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Remote work flexibility

Learning and development stipend

Flexible PTO policy

Annual team offsites

Required Skills

SQL

Apache Spark

TensorFlow

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Apple

AIML - Sr. Machine Learning Engineer, Answers, Knowledge & Information (AKI)

3 weeks ago• Santa Clara, CA
Viewed on February 1, 2026
Apply on company site

About Us

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

  • Size: 10000+ employees
  • Industry: Technology, Information Technology, Software, Consumer Goods & Services

View Company Profile:

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.

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 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.","responsibilities":"Build world class large language model at scale to power question and answering system for Siri

Craft and develop core software infrastructure to support natural language understanding system in production

Design and implement the low latency and high reliability runtime tech stacks for global search

Design and develop data pipeline and infrastructure for large scale of data processing

Evaluate and benchmark Apple natural language processing models, and deploy them to serve billions of Apple users

Preferred Qualifications:

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:

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

Utilizing Py Torch, Tensor Flow, and JAX for training and deploying deep learning models

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

Building models for search relevance ranking, query understanding, and summarization

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist ICT2

0 reports

$121,979

total / year

Base

-

Stock

-

Bonus

-

$103,682

$140,276

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit