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Evening Computer Vision Deep Learning Engineer Jobs in Bethesda, MD

Computer Vision AI Engineer

Mclean, VA · On-site

$120 - $160/hr

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

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

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

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

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

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

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

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

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

... Computer Vision Engineer to join our AI innovation team in Ashburn, VA. This is currently a hybrid ... deep learning techniques (e.g., CNNs, RNNs, Transformers) for object detection, segmentation ...

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Showing results 21-40

Evening Computer Vision Deep Learning Engineer information

See Bethesda, MD salary details

$51.9K

$130.1K

$147.2K

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

As of Sep 4, 2026, the average yearly pay for evening computer vision deep learning engineer in Bethesda, MD is $130,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,300.00 and $140,700.00 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 Bethesda, MD?

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

What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs in Bethesda, MD look for?

The top searched job categories for Evening Computer Vision Deep Learning Engineer jobs in Bethesda, MD are:

What cities near Bethesda, MD are hiring for Evening Computer Vision Deep Learning Engineer jobs?

Cities near Bethesda, MD with the most Evening Computer Vision Deep Learning Engineer job openings:

Infographic showing various Evening Computer Vision Deep Learning Engineer job openings in Bethesda, MD as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $130,053 per year, or $62.5 per hour.

Cleared Computer Vision Scientist

Accenture Federal Services

Washington, DC • On-site

Full-time

Re-posted 22 hours ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services


Job description

The work: 

  • Develop, train, finetune and evaluate computer vision models in a wide range of topics, including geospatial, biometrics, 3D vision, semantic extraction, etc. 
  • Deploy, maintain, and optimize ML models and data processes in a production environment 
  • Develop custom Computer Vision (CV) algorithms that translate into mission value 
  • Create tools to provide feedback from production ML models and data processes 
  • Assist in the development and optimization of computer vision models using deep learning frameworks (e.g., PyTorch, TensorFlow). 
  • Collaborate with other scientists and engineers to build and deploy models for tasks such as object detection, image segmentation, classification, and tracking
  • Stay up to date with the latest research and advancements in the field of computer vision and deep learning
  • Participate in data collection, preprocessing, and augmentation processes to ensure high-quality datasets
  • Conduct experiments, analyze results, and contribute to the improvement of model accuracy and efficiency
  • Assist in the integration of computer vision algorithms into production systems and applications 
  • Document code, methodologies, and experimental results

Here's what you need: 

  • Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Proficiency with programming languages such as Python, C/C++ or Rust 
  • Strong understanding of CNNs, transformers and other advanced architectures and their applications in computer vision tasks
  • Strong analytical and problem-solving skills
  • Ability to work collaboratively in a team environment and take direction from senior team members
  • Hands-on experience with developing computer vision models at scale from inception to business impact 
  • Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches 
  • U.S. Citizenship (No Dual citizenship)

Bonus points if you have: 

  • Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
  • Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
  • Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
  • Hands on experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment
  • Hands-on experience with other image modalities (SAR, IR, HSI, Lidar, Sonar) 

Security Clearance: 

  • Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance

What Accenture Federal Services employees say

Pay

Benefits

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