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Evening Computer Vision Deep Learning Engineer Jobs in Sunnyvale, CA

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · On-site

A background in Computer Science, Mathematics, Electrical Engineering or a related field (BS, MS ... Vision insurance * Dental insurance * Commuter benefits * Disability insurance * Paid maternity ...

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

As a Machine Learning Engineer in ML Runtime & Optimization , you will develop technologies to ... Work in Computer Vision , Deep Learning, and Vision Transformers. * Experience with video ...

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All JobsEvening Computer Vision Deep Learning Engineer JobsEvening Computer Vision Deep Learning Engineer Jobs in Sunnyvale, CA

Evening Computer Vision Deep Learning Engineer information

See Sunnyvale, CA salary details

$56.9K

$142.6K

$161.4K

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

As of Aug 20, 2026, the average yearly pay for evening computer vision deep learning engineer in Sunnyvale, CA is $142,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,900.00 and $154,300.00 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.

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For Evening Computer Vision Deep Learning Engineer jobs in Sunnyvale, CA, the most frequently searched job titles are:

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Evening Computer Vision Deep Learning Engineer jobs near you

Research Scientist, Efficient Deep Learning - New College Grad 2026

Nvidia

Santa Clara, CA • On-site

Full-time

Re-posted 8 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

NVIDIA is searching for an outstanding researcher working on efficient deep learning to join the deep learning efficiency research team. We are passionate about research that pushes boundaries but also has impact in the real world. We are particularly excited about methods for post-training model optimization (pruning, quantization, NAS), efficient architecture design, adaptive/dynamic inference, resource-efficient training and finetuning, and so forth. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, and so forth. Your contributions have the chance to create real impact on our products.

What you'll be doing:

  • Research, design and implement novel methods for efficient deep learning.

  • Publish original research.

  • Collaborate with other team members and teams.

  • Mentor interns.

  • Speak at conferences and events.

  • Work with product groups to transfer technology.

  • Collaborate with external researchers.

What we need to see:

  • Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.

  • Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.

  • Background in pruning, quantization, NAS, efficient backbones, and so on, is a plus.

  • Experience with large language models and large vision-language models is required.

  • Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.

  • Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.

  • Outstanding research track record.

  • Excellent communications skills.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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