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Entry Level Computer Vision Engineer Jobs in Washington, DC

Mid Computer Engineer

Bethesda, MD ยท On-site

$119K - $140K/yr

Job Title Mid Computer Engineer Location Bethesda, MD 20800 US (Primary) Category Research ... Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. * A ...

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 ...

Your Impact We are seeking an innovative C++ Developer to join our team focused on enhancing computer vision and camera tracking technology for drone detection and mitigation. In this role, you will ...

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 ...

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 ...

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 ...

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Entry Level Computer Vision Engineer information

See Washington, DC salary details

$54.7K

$137.1K

$155.1K

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

As of Jul 8, 2026, the average yearly pay for entry level computer vision engineer in Washington, DC is $137,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $148,400.00 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 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 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 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:
Strategic Artificial Intelligence (AI) Engineer with Security Clearance

Strategic Artificial Intelligence (AI) Engineer with Security Clearance

Computer World Services Corp

Fort George G Meade, MD โ€ข On-site

$130K - $150K/yr

Contractor

Posted 12 hours ago


Job description

This is directly for DISA under the Enterprise Integration and Innovation Center (EIIC) branch that creates Cybersecurity controls (STIGs) for DISA's Risk Management Executive (RME) Risk Management Framework (RMF) Mission. All other accredited agencies and subsequent systems must follow for authority to operate (ATO). We are seeking a highly motivated Artificial Intelligence (AI) Engineer to assist in analyzing the development and potential applications of AI technologies, including machine learning, natural language processing, and computer vision for the Defense Information Systems Agency (DISA).

This role will be critical in ensuring the successful delivery of projects and programs, ultimately supporting the warfighter. Immediate hire into a critical AI engineering role. Current assignment begins as interim coverage with a strong possibility of long-term placement depending on contract needs.

Key Tasks & Responsibilities * Work with DISA and industry personnel to review and develop a comprehensive understanding of AI technologies. * Stay current on the latest advancements in AI technology and research. * Develop and implement AI models for various applications, including machine learning, natural language processing, and computer vision.

* Evaluate the performance of AI models and identify areas for improvement. * Initiate, coordinate, and monitor technical and functional activities, including strategic planning, program analysis, quality assurance, configuration management, workflow management, and productivity assessment. * Attend program reviews , integrated process teams , and general outreach activities to promote DISA initiatives and obtain Combatant Command (COCOM) or other partner participation.

* Provide technical support for pathfinders, proofs-of-concept, and prototypes in various areas. * Develop specific program and individual project-level management activities, process improvement recommendations, technology evaluation plans, procedures, metrics , and associated documentation. * Generate reports, compose memos, transcribe notes, research topics, and create presentations.

Education & Experience * Bachelor's degree in E ngineering , Computer Science, or a related field is desired. * Strong knowledge and experience with emerging cybersecurity technologies. * Proven ability to analyze technology, create reports, and deliver briefings.

* Excellent communication and presentation skills, comfortable with public speaking. * Self-motivated and collaborative, with a track record of delivering results promptly. Certifications * DoD 8 14 0 and industry certifications may be required upon starting (ex.

CEH, Sec+) Security Clearance * DoD Secret , Top Secret , or SCI clearance may be required Other (Travel, Work Environment, DoD 8570 Requirements, Administrative Notes, etc.) Hybrid work may be authorized $130,000 - $150,000 a year The offered rate will be based on the selected candidate's knowledge, skills, abilities and/or experience and in consideration of internal parity. The posted range is appropriate for a typical candidate meeting, at a minimum, all the core requirements of the position. Computer World Services is an affirmative action and equal employment opportunity employer.

Current employees and/or qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, disability, protected veteran status, genetic information or any other characteristic protected by local, state, or federal laws, rules, or regulations. Computer World Services is committed to the full inclusion of all qualified individuals. As part of this commitment, Computer World Services will ensure that individuals with disabilities (IWD) are provided reasonable accommodations.

If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources at [email protected] . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.