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Evening Computer Vision Deep Learning Engineer Jobs in Seattle, WA

... Deep Learning • Understanding of data structures, data modeling, and software architecture • ... IUNU is an industrial computer vision company that connects plants, facilities, and people through ...

In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved ...

Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface ... Experience developing and designing Computer Vision and/or Machine Learning technologies and ...

New

Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface ... Experience developing and designing Computer Vision and/or Machine Learning technologies and ...

New

We are looking for engineers with expertise in deep learning for 3D computer vision and on-device model optimization. In this role, you will help design, build, and ship core 3D perception ...

We are looking for engineers with expertise in deep learning for 3D computer vision and on-device model optimization. In this role, you will help design, build, and ship core 3D perception ...

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $147K/yr

The ideal candidate has a strong background in engineering design, computer vision, and applied machine learning , with proven experience driving large-scale projects, collaborating across teams, and ...

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $148K/yr

The ideal candidate has a strong background in engineering design, computer vision, and applied machine learning, with proven experience driving large-scale projects, collaborating across teams, and ...

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Doing what's never been done before takes vision, innovation, and the world's best talent. As an ...

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Evening Computer Vision Deep Learning Engineer information

See Seattle, WA salary details

$55.2K

$138.3K

$156.5K

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

As of Jul 14, 2026, the average yearly pay for evening computer vision deep learning engineer in Seattle, WA is $138,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $149,600.00 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.

What are popular job titles related to Evening Computer Vision Deep Learning Engineer jobs in Seattle, WA? For Evening Computer Vision Deep Learning Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs in Seattle, WA look for? The top searched job categories for Evening Computer Vision Deep Learning Engineer jobs in Seattle, WA are:
Applied Machine Learning Engineer

Applied Machine Learning Engineer

IUNU

Seattle, WA • On-site

Full-time

Re-posted 8 days ago


Job description

Job Summary:
IUNU is revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. They are seeking an Applied Machine Learning Engineer to develop products for their clients and the greenhouse industry, focusing on creating machine learning models and retraining systems.
Responsibilities:
• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
Qualifications:
Required:
• 3-5 years of proven experience as a Machine Learning Engineer or a similar role
• Strong experience with Deep Learning
• Understanding of data structures, data modeling, and software architecture
• Deep knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python, Java, and R
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills
• BSc in Computer Science, Mathematics, or a similar field; a Master’s degree is a plus
Company:
IUNU is an industrial computer vision company that connects plants, facilities, and people through a single interface. Founded in 2013, the company is headquartered in Seattle, USA, with a team of 51-200 employees. The company is currently Growth Stage.