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Apple Computer Vision Engineer Resume Examples

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Brenna Goyette
Certified Professional Resume Writer, Career Expert

Updated 8 min read

This article will provide guidance on how to write an effective resume for a Computer Vision Engineer position at Apple. It will cover the key skills and experience needed to be successful in this role, as well as tips on how to showcase your qualifications and achievements to stand out from other applicants. Additionally, advice will be provided on what should be included in the resume and how to present yourself in the best light.

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Apple Computer Vision Engineer Resume Example

Ranyah Thunberg, Computer Vision Engineer


(153) 922-4751

Billings, MT

Professional Summary

I am a Computer Vision Engineer with over 3 years of experience in developing state-of-the-art computer vision algorithms and applications. My expertise lies in image processing, object detection and recognition, and machine learning. I have a strong background in programming languages such as C++, Python, and MATLAB. I have contributed to the development of several object detection and recognition systems and have applied my knowledge to various computer vision projects. I have a passion for pushing the boundaries of computer vision technology and strive to create innovative solutions that can be applied to real-world problems.

Work Experience

Lead Computer Vision Engineer at Amazon Web Services, MT

Jan 2023 - Present

  • Developed a computer vision algorithm for Amazon Web Services that increased accuracy of object recognition by 30%, reducing the time for image processing from 20 minutes to 5 minutes.
  • Created a training program for a team of 10 computer vision engineers that enabled them to quickly learn and implement the new algorithm, resulting in a 15% increase in productivity.
  • Developed a low-cost solution for cloud-based image processing that enabled Amazon Web Services to reduce their costs by 25%.

Senior Computer Vision Engineer at Microsoft Azure, MT

Jul 2020 - Dec 2022

  • Developed an end-to-end computer vision pipeline for object detection and recognition in Azure cloud, reducing the processing time by 40% and increasing accuracy to 90%, resulting in a 10% improvement in overall customer satisfaction.
  • Designed and implemented a real-time facial recognition system for Azure, which improved the accuracy of facial recognition by 20% and reduced latency by 30%.
  • Created a deep learning model to detect and classify objects in images with an accuracy of 95%, improving the accuracy of the existing model by 10%.


Master of Science in Computer Vision Engineering at Montana State University, Bozeman, MT

Sep 2016 - May 2020

Relevant Coursework: Algorithms for Computer Vision, Machine Learning and Pattern Recognition, Image and Video Processing, Computer Vision System Design and Applications.


  • Image Processing
  • Machine Learning
  • Deep Learning
  • Computer Vision Algorithms
  • OpenCV
  • Python Programming
  • Object Recognition


  • OpenCV Certified Computer Vision Engineer
  • AWS Certified Machine Learning – Specialty

Tips for Writing a Better Apple Computer Vision Engineer Resume

1. Tailor your resume to the job: When writing a resume for an Apple Computer Vision Engineer role, tailor it to the job description. Make sure you highlight relevant skills and experiences that are aligned with the job requirements.

2. Showcase your technical skills: Emphasize your technical skill set by including examples of computer vision projects you’ve completed in the past. Include details about the technologies you used and how you solved any problems encountered during development.

3. Highlight relevant certifications: If you have any certifications related to computer vision engineering, make sure to mention them on your resume. This will demonstrate your commitment and knowledge in the field.

4. Showcase leadership experience: If you have any leadership experience, such as leading a team working on a project or managing other engineers, make sure to include this information on your resume. This will help show potential employers that you’re capable of taking initiative and leading others in order to achieve success.

5. Use keywords: To ensure that your resume gets past an applicant tracking system (ATS), use keywords related to computer vision engineering in your resume. Doing so will increase the chances of recruiters finding and reading your application materials

Related: Computer Engineer Resume Examples

Key Skills Hiring Managers Look for on Apple Computer Vision Engineer Resumes

When applying for a Computer Vision Engineer opportunity at Apple, it is important to incorporate keywords from the job description into your application. This is because Apple uses Applicant Tracking Systems (ATS) to screen applicants and filter out those that are not qualified for the role. Therefore, including specific keywords from the job description in your application can help ensure that your resume or CV gets through the ATS and is seen by an actual person. Additionally, using keywords in your cover letter can show recruiters that you understand the qualifications required for the job and have taken the time to tailor your application specifically to this role.

The following list of skills and key terms are commonly required for computer vision engineer positions at Apple:

Key Skills and Proficiencies
Image processingMachine learning
Deep learningNeural networks
Computer vision algorithmsOpenCV
Image recognitionObject detection
Pattern recognitionFeature extraction
Image segmentationD reconstruction
Image classificationObject tracking
Video analyticsNatural language processing (NLP)
Facial recognitionMotion estimation and tracking
Augmented reality (AR) / Virtual reality (VR)Robotics

Related: Computer Engineer Skills: Definition and Examples

Common Action Verbs for Apple Computer Vision Engineer Resumes

Finding the right action verbs for your resume can be difficult, especially when you're trying to create a resume for an Apple Computer Vision Engineer. It's important to use varied and interesting language in order to make your resume stand out from the competition. Action verbs like “designed”, “developed”, “implemented”, and “tested” are all great choices for this type of role, but you should also consider using more specialized words like “calibrated”, “architected”, and “optimized” in order to demonstrate your expertise in computer vision engineering. By utilizing a variety of action verbs on your resume, you'll show potential employers that you have the knowledge and experience required for the role.

To give you an edge in the job market, we've put together a list of powerful action verbs that can help strengthen your resume and increase your chances of landing an interview:

Action Verbs

Related: What does a Computer Engineer do?

Editorial staff

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Brenna Goyette

Expert Verified

Brenna is a certified professional resume writer, career expert, and the content manager of the ResumeCat team. She has a background in corporate recruiting and human resources and has been writing resumes for over 10 years. Brenna has experience in recruiting for tech, finance, and marketing roles and has a passion for helping people find their dream jobs. She creates expert resources to help job seekers write the best resumes and cover letters, land the job, and succeed in the workplace.

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