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Computer Vision and Machine Learning Engineer Job Opening In Sunnyvale – Now Hiring Apple

Computer Vision and Machine Learning Engineer

    United States Jobs Expertini Expertini › United States › Jobs › Sunnyvale › Other General › Computer Vision And Machine Learning Engineer

Job description

**Role Number:** 200613408-3956

**Summary**
The Video Computer Vision organization is working on exciting technologies for future Apple products.

Our focus is on real time and low power algorithms to power the next generation of Apple experiences and devices.

Specifically, we work with localization and scene understanding that is based on classical computer vision techniques (e.g. SLAM and sensor fusion) in combination with latest Machine Learning based approaches.

We have contributed to the ARKit in both iOS and Vision OS devices.

We are looking for a talented engineer to help us take our efforts to the next level.

In this role, you will work together with similar minds in a unique research and development team where your skills and expertise will be put into the Apple products.

This role is highly multi-functional and you will work very closely with various highly skilled software development / ML teams developing groundbreaking algorithms.

**Description**
You will create computer vision algorithms and deliver technologies with applications to augmented reality and device localization that are impactful, meaningful, and influential.

We work closely with Apple’s best-in-class designers to ensure the products we ship are more than technical demos – they resonate with users at a personal level.

In this role you will be working on a wide range of responsibilities: core technology algorithm development in support of future user experiences; communicating with and supporting external teams that use our algorithms; supporting low-level, cross-platform efforts; participating in code reviews; and being a constant advocate within the team for high quality results.

**Minimum Qualifications**

+ BS and a minimum of 3 years relevant industry experience.
+ Programming in C++.
+ Familiarity with classical and machine learning based computer vision.

**Preferred Qualifications**

+ MS or PhD in computer vision, machine learning, robotics, or related fields.
+ Solid foundation in classical computer vision.

Key areas of interest include 3D computer vision, SfM (Structure from Motion) and SLAM (Simultaneous Localization and Mapping).
+ Experience in developing, training and tuning domain specific ML model related to computer vision.
+ Proficiency in Python and PyTorch.

**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.

(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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Interview Tips for Computer Vision and Machine Learning Engineer Job Success

Apple interview tips for Computer Vision and Machine Learning Engineer

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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.

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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 and Machine Learning Engineer interview at Apple, research the company, understand the job requirements, and practice common interview questions.

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

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