Jobs

Advanced Inspection Engineer (Manufacturing Quality Engineering)
Cupertino, CA
·
On-site
·
Full-time
·
2w ago
Compensation
$157,200 - $236,700
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Learning Budget
•Relocation Assistance
•Healthcare
•401k
•Equity
•Learning
Required Skills
Software development
Machine vision
Machine learning
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The people here at Apple donʼt just create products - they create the kind of wonder thatʼs
revolutionized entire industries. Itʼs the diversity of those people and their ideas that inspires the
innovation that runs through everything we do, from amazing technology to industry-leading
environmental efforts. Join Apple and help us leave the world better than we found it.
Our team is responsible for the development of the inspection equipment that determines if a product meets Appleʼs high standards across all of the mechanical portion of hardware we make - i Phone, Mac, i Pad, Watch and others
Description:
It takes a strong background to qualify for this job. As an applicant, you will explain not just how to build solution or models to answer problems, but how to deploy models. These systems will be responsible for judgement of millions of units per day in a challenging production environment. There is a bit of being like a start-up where youʼll occasionally have to wear multiple hats - sometimes youʼll need to be a technical project manager, other time youʼll need to deep dive into databases, while at other times youʼll need to work with optics improvements to be able to see defects consistently so that you can then drive inspection and ML advancements. You will be required to balance technical requirements while effectively managing collaborations with vendors to maintain schedule and ramp dates.
Preferred Qualifications:
Demonstrated technical skills in Machine or Computer Vision as well Machine Learning (CNNs, object detection)
Proficiency with Python, CLI, Linux and Unix shell scripting
Experience with cloud computing platforms AWS and deployment tools like docker
Experience building Software ML solutions - all the way from inception to production. Proficiency in Python is preferred.
Experienced user of machine learning and statistical-analysis libraries, such as Turi Create, Py Torch, Keras, Scikit-learn, Sci Py.
Ability to explain and present analyses and machine learning concepts to a broad technical audience.
Minimum Qualifications:
2+ yearsʼ experience applying computer or machine vision or machine learning techniques to build models that are deployable into a manufacturing environment
Software development skills
Knowledge of basic networking concepts and protocols, e.g.: TCP/IP, HTTP, etc.
Experience with 2D/3D triangulation laser system and/or CCD inspection system such as Halcon, Keyence, Cognex, and/or Visco
Familiar with mechanical metrology system qualification process, such as GRR, Correlation, Stability and Reliability
Understanding of optics, image acquisition, software filtering and judgment algorithms.
Basic understanding of manufacturing processes (i.e. CNC, modeling, laser welding, etc)
Intermediate knowledge of automation including system layout, architecture, and cycle time optimization for optical, motion and mechanical systems
Ability to Travel approximately 25-50% of the time
B.Sc. in Mechanical Engineering, Computer Science, Systems Design, Electrical Engineering or equivalent experience
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 $157,200 and $236,700, 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
L2 · Business Analyst L2
0 reports
$114,215
total / year
Base
$45,686
Stock
$57,108
Bonus
$11,422
$79,951
$148,480
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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