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Computer Vision Engineer, Machine Learning - MSI Job Opening In Cupertino – Now Hiring Apple

Computer Vision Engineer, Machine Learning MSI

    United States Jobs Expertini Expertini › United States › Jobs › Cupertino › Other General › Computer Vision Engineer, Machine Learning Msi

Job description

**Weekly Hours:** 40
**Role Number:** 200605196-0836

**Summary**
Imagine what you could do here.

At Apple, we believe new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly.

Bring passion and dedication to your job and there's no telling what you could accomplish.

It takes deeply dedicated, intelligent and hard-working individuals to maintain and exceed the high expectations for the exciting iPhone brand at Apple.
The iPhone Operations Data Team is looking for an extraordinary Machine Learning Engineer specialized in Computer Vision and Deep learning to join our team.

You will craft, design and implement our machine learning strategy to the massive iPhone, Mac, iPad supply chains and help build the future of our manufacturing systems.

**Description**
Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms.
Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection.
Work with resources in cross-functional teams and the factory to integrate ML applications.
Abilities to independently learn new technologies; prioritize tasks and take ownership; and meaningfully present results of analyses in a clear and impactful manner.

**Minimum Qualifications**

+ 7+ years deep understanding of computer vision, machine learning and deep learning concepts.
+ Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking
+ Knowledge of machine learning and computer vision libraries such as PyTorch, TensorFlow, Keras, scikit-learn, OpenCV, PIL, AutoML, is essential.
+ Proven ability to implement, improve, debug, and maintain machine learning models
+ Experience with handling and visualizing very large data sets and creating performance reports
+ Bachelors or Masters in Computer Science, Machine Learning, or higher level degree PhD preferred
**Preferred Qualifications**

+ Self-motivated, responsible, excellent written and verbal interpersonal skills
+ Experience in LLMs
+ Familiarity with VLMs (and other multi-modalities) is a big plus.
+ AWS ML framework experience is preferred.
+ Familiar with version control systems such as Git
+ Strong optimization and debugging skills
**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 $181,100 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.

(https://www.apple.com/careers/us/benefits.html)

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 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .


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Real-time Computer Vision Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Computer Vision in Cupertino, United States, highlighting market share and opportunities for professionals in Computer Vision roles.

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7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Cupertino. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Computer Vision Engineer, Machine Learning MSI Job Success

Apple interview tips for Computer Vision Engineer, Machine Learning MSI

Here are some tips to help you prepare for and ace your Computer Vision Engineer, Machine Learning MSI job interview:

Before the Interview:

Research: Learn about the Apple's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Computer Vision Engineer, Machine Learning MSI interview at Apple, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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