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AIML - Sr. Machine Learning Engineer, Siri & Information Intelligence

Apple

AIML - Sr. Machine Learning Engineer, Siri & Information Intelligence

Apple

Santa Clara, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$175,800 - $312,200

Benefits & Perks

Remote work flexibility

Learning and development stipend

Parental leave program

Health, dental, and vision coverage

Top Tier compensation with equity

Annual team offsites

Required Skills

Python

TensorFlow

PyTorch

Do you want to make Siri and Apple products smarter for our users? Our 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 on realtime augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user facing production services. We are part of a wider effort to power information across a variety of Apple products - including: Siri, Spotlight, Safari, Lookup, and more!

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. You will be using and improving upon the latest advancements in machine learning and software engineering to understand user queries and intents, retrieve and rank documents and generate helpful answers and work on horizontal areas on data generation, evaluation and safety.

  • Minimum Qualifications

  • Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience

  • 6+ years of industry related experience, working in collaborative environments

  • Experience with using: Py Torch, Tensor Flow, or JAX for training and deploying deep learning models

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

  • Proficient in at least two programming languages such as: C/C++, Go, Python, Java

  • Preferred Qualifications

  • Analyzing search ranking and relevance requirements issues and opportunities

  • Building machine-learned models for search relevance ranking query understanding and questioning

  • Masters or PhD in the area of Computer Science or equivalent, or a related

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 $175,800 and $312,200, 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.

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.

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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