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AIML - Sr./Staff ML Engineer, Machine Learning Platform Technologies

Apple

AIML - Sr./Staff ML Engineer, Machine Learning Platform Technologies

Apple

Seattle, WA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible PTO policy

Top Tier compensation with equity

Wellness benefits

Parental leave program

Health, dental, and vision coverage

Learning and development stipend

Required Skills

Python

TensorFlow

Airflow

Imagine What You Could Do Here

At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

About the Role

Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. 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. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup.

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

We do more than develop cloud infrastructure - we shape the future of AI and search. Join us as a Cloud Infrastructure Engineer, collaborating across teams to translate project needs into scalable solutions. Craft, manage, and optimize cloud infrastructure solutions for peak performance and security. Vigilantly monitor/troubleshoot systems, and collaborate with other software engineers, data scientists, and AI specialists to enhance infrastructure. Your role is pivotal in defining the landscape of cloud infrastructure's synergy with AI advancements.

Minimum Qualifications

  • 7+ years of coding skills
  • Background in computer science: algorithms and data structures
  • Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes
  • Proficient in designing, developing, and deploying high-performance, reliable, and scalable software solutions in production

Preferred Qualifications

  • Excellent interpersonal skills able to work independently as well as in a team

Equal Opportunity

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