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Evening Computer Vision Deep Learning Engineer Jobs

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Computer Vision * Deep Learning * Transformers * LLM fundamentals Cloud & MLOps * AWS (SageMaker ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$113K - $133K/yr

Responsibilities : • Develop and implement deep learning computer vision models, with a focus on ... GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ...

Booz Allen Hamilton

Computer Vision AI Engineer

Chantilly, VA · On-site

$115K - $135K/yr

Responsibilities : • Develop and implement deep learning computer vision models, with a focus on ... GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ...

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All JobsEvening Computer Vision Deep Learning Engineer Jobs

Evening Computer Vision Deep Learning Engineer information

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$48.5K

$121.5K

$137.5K

How much do evening computer vision deep learning engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for evening computer vision deep learning engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is the difference between Evening Computer Vision Deep Learning Engineer vs Computer Vision Deep Learning Engineer?

AspectEvening Computer Vision Deep Learning EngineerComputer Vision Deep Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworks
Work EnvironmentTypically evening or night shifts, often in research labs or tech companiesStandard daytime hours, in offices or remote settings
Industry UsageUsed in industries with 24/7 operations like surveillance, security, or manufacturingCommon across tech, automotive, healthcare, and research sectors

The main difference lies in work hours and shift timing. Evening Computer Vision Deep Learning Engineers work primarily during evening or night shifts, often in environments requiring 24/7 monitoring or operations. In contrast, Computer Vision Deep Learning Engineers usually work standard daytime hours. Both roles require similar skills and educational backgrounds, but their schedules and work environments differ significantly.

More about Evening Computer Vision Deep Learning Engineer jobs
What cities are hiring for Evening Computer Vision Deep Learning Engineer jobs? Cities with the most Evening Computer Vision Deep Learning Engineer job openings:
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs? The most popular types of Computer Vision Deep Learning Engineer jobs are:
What states have the most Evening Computer Vision Deep Learning Engineer jobs? States with the most job openings for Evening Computer Vision Deep Learning Engineer jobs include:
What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs look for? The top searched job categories for Evening Computer Vision Deep Learning Engineer jobs are:
Evening Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Evening Computer Vision Deep Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 80% Full Time, 3% Part Time, 6% Temporary, and 9% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos

Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos

Apple

Cupertino, CA

$147K - $272K/yr

Full-time

Medical, Dental, Retirement

Posted 14 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 666 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

In the Camera Imaging Algorithms team in the Camera & Photos organization, we are looking for passionate, self-driven computational photography/computer vision machine learning engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world.
Description
As a machine learning engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovative ideas to product. We are seeking a creative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline.
Preferred Qualifications
Excellent verbal and written communication skills
Creativity and curiosity for solving complex problems.
Minimum Qualifications
Strong coding skills in Python; experience in C/C++ a big plus
Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems
Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques
Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution), and experience with deep learning frameworks like PyTorch or TensorFlow
MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields
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

Sourced by ZipRecruiter

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. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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