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AIML - Frontend Software Engineer - Machine Learning Platform & Technology
Cupertino, CA
·
On-site
·
Full-time
·
2w ago
Compensation
$147,400 - $272,100
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Learning Budget
•Healthcare
•401k
•Equity
•Learning
Required Skills
Python
JavaScript
React
TypeScript
HTML
CSS
SASS
PostgreSQL
REST APIs
GraphQL
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.
Do you want to make Siri and Apple products smarter for our users? The MLPT Lifecycle team is building groundbreaking technology for next generation of ml model development that will alter how apple consumers interact with their devices and information on a daily basis. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to conduct their daily life. Our platform has been used to create models that power you daily interactions like Face Id, Photos Recommendation and Memories and many more.
As part of this group, you will develop the tools, frameworks, systems that all of Apple's ML Engineers use to train, evaluate and track the efficacy of AI features across apple products. You'll help us leverage a combination of human and automated methods to accelerate robust iteration and development of new models and product features.
Description:
We are looking for a motivated full-stack software engineer with in-depth knowledge in web application design and development. You will be working on designing and developing innovative front-end and backend software features using micro services architecture for our organization's internal web applications.
Our ideal candidate must have demonstrated expertise in Python, Node.js, React, Typescript, JavaScript, and PostgreSQL (or other databases).
As a team member on this team, you are expected to be comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs.
Additionally, you expected to be proficient in and adhere to the best practices of software development, such as agile development, code reviews, continuous integration, and automated testing.
In this role, you will work closely with project managers, UI/UX designers, and other stakeholders to define requirements, estimate efforts accordingly, and ultimately deliver high quality work on-time.
Preferred Qualifications:
Experience with event-based messaging systems (Kafka) and workflow orchestration platforms (Airflow)
Experience with cloud platforms like AWS or GCP
Experience with testing frameworks like Jest and Selenium
Experience with ML or Data Engineering workflows:
Experience with app containerization, tuning, optimization, deployment, and performance of workloads running in a cloud environment (Kubernetes, Docker, Helm)
Exposure to Java, and Springboot web-services stack
Minimum Qualifications:
Experience programming with Python
Expertise building client-side web applications with JavaScript, HTML, and CSS
Expertise with JavaScript single page apps using React/Redux & TypeScript
Expertise with CSS3 and using SASS
Experience consuming and developing RESTful APIs, GQL interfaces
General knowledge of networking protocols HTTP/1 & HTTP/2 (GET, POST), cookies and other HTTP headers
Experience integrating web-user interfaces with database technologies (PostgresSQL, Key Value Stores like Cassandra and Redis, S3, Search Engines like Open Search, Elastic, Solr)
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 .
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 $147,400 and $272,100, 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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About Apple

Apple
PublicA 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
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Industrial Designer L2
0 reports
$320,450
total / year
Base
$128,180
Stock
$160,225
Bonus
$32,045
$224,315
$416,585
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
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