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Remote Deep Learning Engineer Jobs in Virginia (NOW HIRING)

1872 Consulting

Sr. Computer Vision Engineer

Herndon, VA · Remote

$107.50K - $147.60K/yr

Experience developing deep learning-based software solutions. In particular, developing models in ... Experience working with remote sensing data, ideally satellite imagery and an understanding of ...

Navstar

Staff AI/ML Machine Learning Engineer

Herndon, VA · On-site +1

$132.90K - $234.37K/yr

AI/ML, Deep Learning, or Computer Vision, modern software development practices/languages, and a ... Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics) or equivalent ...

New

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · Remote

$114.90K - $138K/yr

Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.). * Solid background in software engineering principles and best practices. * Hands-on ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.). * Solid background in software engineering principles and best practices. * Hands-on ...

NT Concepts

Machine Learning Engineer

Vienna, VA · On-site +1

Machine Learning Engineer Chantilly, VA We are seeking a Machine Learning Engineer to join our team ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: * Collaborate with a cross ...

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All JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Virginia

Remote Deep Learning Engineer information

See Virginia salary details

$10.9K

$83.2K

$138.8K

How much do remote deep learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote deep learning engineer in Virginia is $83,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,400.00 and $137,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What are popular job titles related to Remote Deep Learning Engineer jobs in Virginia? For Remote Deep Learning Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning Engineer jobs in Virginia look for? The top searched job categories for Remote Deep Learning Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Deep Learning Engineer jobs? Cities in Virginia with the most Remote Deep Learning Engineer job openings:
Remote Deep Learning Engineer jobs near you
Infographic showing various Remote Deep Learning Engineer job openings in Virginia as of May 2026, with employment types broken down into 1% Internship, 56% Full Time, 38% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $83,166 per year, or $40 per hour.
Principal Computer Vision Engineer

Principal Computer Vision Engineer

1872 Consulting

Herndon, VA • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Computer Vision Engineer

Responsibilities:

  • Design and implement computer vision solutions that exploit machine learning, statistical learning, and deep learning for next-generation satellite imagery analytics
  • Plan and conduct research in projects related to computer vision, probabilistic modeling, predictive analytics, and content curation
  • Develop and prototype algorithms, models, and analytical tools for solving domain specific business problems
  • Take part in the entire project lifecycle from requirements development to deployment
  • Collaborate with management and technical team on product strategy
  • Leads team members to accomplish project goals, contribute to technical proposals as needed, and interact with customers to ensure requirements are understood and met

Qualifications:

  • 8+ years of hands-on experience as a computer vision engineer, machine learning engineer, or data scientists with at least 2 years focused on computer vision
  • Bachelor's Degree or higher in one of the following fields: computer science, data science, mathematics, physics, statistics, or another computational field
  • Hands on experience working with large imagery data sets including image normalization, image augmentation, raster/vector visualization, etc.
  • Familiarity researching and prototyping unsupervised and semi-supervised deep learning-based algorithms
  • Python 3 proficiency
  • Experience developing deep learning-based software solutions. In particular, developing models in TensorFlow or PyTorch, and Keras
  • Familiarity with open source python computer vision libraries such as Scikit-image, Rasterio, OpenCV, Pillow, Shapely, etc.
  • Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights
  • Must be a US Person for this role

Desired Skills:

  • 10+ years of hands-on experience as a computer vision engineer, machine learning engineer or data scientist
  • Ph.D./Master's degree in the previously mentioned fields
  • Experience working with remote sensing data, ideally satellite imagery with an understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards
  • Experience developing asynchronous processing algorithms and Cloud-based solutions (especially AWS services like EC2 & S3)
1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

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