2

Entry Level Computer Vision Engineer Jobs in Washington, DC

Machine Learning Engineer

Chantilly, VA ยท On-site

$120K - $180K/yr

We are looking for engineers who can take machine learning and Computer Vision (CV) solutions from early research and prototyping all the way into stable, scalable production environments. In this ...

Entry Level Mechanical Engineer

Fairfax, VA ยท On-site

$82K - $85K/yr

Dewberry has an opportunity for an Entry Level Mechanical Engineer to join a growing group of ... Proficiency in CAD, Revit preferred and good working knowledge of MS Word and Excel required.

Entry Level Mechanical Engineer

Fairfax, VA ยท On-site

$82K - $85K/yr

Dewberry has an opportunity for an Entry Level Mechanical Engineer to join a growing group of ... Proficiency in CAD, Revit preferred and good working knowledge of MS Word and Excel required.

The work AI Engineers build and operate systems that turn data, documents, models, and AI services ... Predictive, classification, recommendation, natural language, computer vision, or decision-support ...

The work AI Engineers build and operate systems that turn data, documents, models, and AI services ... Predictive, classification, recommendation, natural language, computer vision, or decision-support ...

AI ENGINEER

Reston, VA ยท On-site

Background in NLP, computer vision, or other advanced AI techniques. * Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud). Required qualifications: * Strong programming skills in ...

Design systems to detect and track targets using computer vision, RF, radar, and more * Turn those ... Bonus: experience with drone guidance or state estimation This role is for engineers who want to ...

Design systems to detect and track targets using computer vision, RF,radar, and more * Turn those ... Bonus: experience with droneguidance or state estimation This role is for engineers who want to ...

... work with you. Entry Level Software Engineer Responsible for full life cycle application ... has a BS degree in a computer or system science discipline from an accredited college (or ...

Data Scientist

Ashburn, VA ยท On-site

$99K - $164K/yr

Proficiency with programming languages such as Python, R, Scala, or Java; Python experience with computer-vision or machine-learning libraries is strongly preferred.Experience with AI/ML, computer ...

Entry-Level AI Software Engineer

Mclean, VA ยท On-site

$90K - $110K/yr

Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Science ... Health Care Plan (Medical, Dental & Vision) * Retirement Plan (401k, IRA) * Life Insurance (Basic ...

New

Software Engineer

Gaithersburg, MD ยท On-site

$78K - $116K/yr

The position involves developing technical solutions that incorporate artificial intelligence (AI), machine learning (ML), computer vision, and IoT to solve complex scientific and engineering ...

Software Engineer

Gaithersburg, MD ยท On-site +1

$78K - $116K/yr

The position involves developing technical solutions that incorporate artificial intelligence (AI), machine learning (ML), computer vision, and IoT to solve complex scientific and engineering ...

Data Scientist

Ashburn, VA ยท On-site

$99K - $164K/yr

Proficiency with programming languages such as Python, R, Scala, or Java; Python experience with computer-vision or machine-learning libraries is strongly preferred. * Experience with AI/ML, computer ...

Proficiency with programming languages such as Python, R, Scala, or Java; Python experience with computer-vision or machine-learning libraries is strongly preferred. * Experience with AI/ML, computer ...

Entry Level Civil Engineer

Elkridge, MD ยท On-site

$62K - $90K/yr

We also value additional learning, such as a minor, certificate, or other training in Computer ... Medical, Dental, Vision * Life & Accident Insurance * Disability Coverage * Employee Assistance ...

Showing results 41-60

Entry Level Computer Vision Engineer information

See Washington, DC salary details

$54.9K

$137.6K

$155.7K

How much do entry level computer vision engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for entry level computer vision engineer in Washington, DC is $137,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $148,900.00 per year, depending on experience, location, and employer.

What does an entry level computer vision engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What are the key skills and qualifications needed to thrive as an entry level computer vision engineer, and why are they important?

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What are the most commonly searched types of Computer Vision Engineer jobs in Washington, DC?

The most popular types of Computer Vision Engineer jobs in Washington, DC are:

What are popular job titles related to Entry Level Computer Vision Engineer jobs in Washington, DC?

For Entry Level Computer Vision Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Vision Engineer jobs in Washington, DC look for?

The top searched job categories for Entry Level Computer Vision Engineer jobs in Washington, DC are:

Infographic showing various Entry Level Computer Vision Engineer job openings in Washington, DC as of September 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $137,628 per year, or $66.2 per hour.

Machine Learning Engineer

Chantilly, VA โ€ข On-site

NT Concepts
IT Servicesย โ€ขย 51 - 200 employees

$120K - $180K/yr

Full-time

Posted 6 days ago


Job description

We are seeking a Machine Learning Engineer with a passion for building mission-critical capabilities to join our talent network. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, explore What's Next with us.
Mission Focus: Our machine learning teams bridge the gap between cutting-edge AI research and operational government missions. We are looking for engineers who can take machine learning and Computer Vision (CV) solutions from early research and prototyping all the way into stable, scalable production environments.
In this role, you will help design, build, and deploy automated ML workflows that directly support national security analysts and operators. We embrace modern agile practices, a DataOps/DevSecOps/MLOps ethos to "automate-first," and modern cloud-native architectures.
Clearance: Active TS/SCI required (CI Polygraph preferred or must be eligible to obtain)
Location/Flexibility: Vienna, VA / Chantilly, VA (Hybrid / Flexible Remote options available)
Responsibilities
  • Prototype to Production: Support the full machine learning lifecycle, taking computer vision models from experimentation and notebooks into containerized, high-throughput production microservices.
  • Mission Alignment: Work closely with mission partners, domain experts, and technical teams to understand real-world operational challenges and translate them into practical ML requirements.
  • MLOps & Pipeline Automation: Build, maintain, and optimize robust pipelines for data preparation, model training, validation, versioning, deployment, and monitoring using modern tools (such as MLflow, Kubeflow, and GitLab CI/CD).
  • Model Development & Tuning: Train, fine-tune, and evaluate deep learning algorithms for computer vision tasks (e.g., object detection, classification, segmentation, tracking).
  • System Integration: Collaborate with cross-functional software engineers and cloud architects to integrate ML models cleanly into larger enterprise systems and secure cloud infrastructures.
  • Optimization & Governance: Optimize inference performance, apply secure coding practices, and monitor models for drift and reliability once deployed.

Qualifications
  • Clearance: Active TS/SCI clearance.
  • Hands-On Experience: Demonstrated professional experience developing, testing, and deploying machine learning models into real-world or production environments.
  • Deep Learning & CV: Strong programming skills in Python and hands-on experience with deep learning frameworks (primarily PyTorch, OpenCV, TensorFlow, or NumPy).
  • ML Lifecycle & MLOps: Practical familiarity with containerization (Docker, Kubernetes) and ML lifecycle/pipeline platforms (e.g., MLflow, Kubeflow, AWS SageMaker).
  • Cloud & DevOps Foundations: Familiarity working in cloud environments (AWS, Azure, or GCP) and modern development practices (Git, CI/CD pipelines, Agile methodologies).
  • Customer & Mission Mindset: Ability to understand the end-user's mission objectives, iterate based on user feedback, and clearly communicate technical approaches.

Preferred / Desired Skills:
  • Experience working within secure, air-gapped, or classified cloud environments (e.g., AWS GovCloud / C2S).
  • Experience with synthetic data generation techniques or multi-modal models.
  • Exposure to Large Language Models (LLMs) or generative AI workflows.
  • Familiarity with distributed model training and GPU resource management.

Physical Requirements
  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 10-15 pounds at times.

#JT
The pay range listed for this position reflects the wage or salary range NT Concepts expects to pay for this role at the time of posting. The compensation offered to a successful candidate within this range will be based on legitimate, job-related factors, including (but not limited to) the candidate's work location, education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
Virginia Pay Range
$120,336-$180,504 USD
About NT Concepts
Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities. We deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission-solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative "big idea" problem-solving.
Employees are the core of NT Concepts. We understand that world-changing concepts happen in collaborative environments. We are a company where talented teams work together using innovation and expertise to solve our clients' most critical challenges. Here, you'll gain competitive benefits, opportunities to bolster your skills and develop new abilities, and a company culture dedicated to support and service. In addition to our benefits program, we encourage our employees to take part in #NTC_GivesBack, which paves the way for positive social change.
If joining a stable company with strong professional growth opportunities resonates with you, and you seek vital, mission-driven projects (for some pretty cool clients) that use your specific talents, we'd love to have you move forward with us.