ZipRecruiter

Log In

2

Entry Level Computer Vision Engineer Jobs in Washington, DC

Quidient

Senior Computer Vision Engineer

Columbia, MD · On-site

$160K - $210K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Overview Quidient is hiring a Senior Computer Vision Engineer to own and operate the computer vision pipelines that power our Generalized Scene Reconstruction Platform. This is a cross-team, cross ...

Kitware

Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Kitware

Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Kitware

Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Kitware's 3D computer vision team develops algorithms and open source applications for ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Kitware's 3D computer vision team develops algorithms and open source applications for ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Kitware's 3D computer vision team develops algorithms and open source applications for ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

next page

Showing results 1-20

All JobsComputer Vision Engineer JobsEntry Level Computer Vision Engineer JobsEntry Level Computer Vision Engineer Jobs in Washington, DC

Entry Level Computer Vision Engineer information

See Washington, DC salary details

$54.9K

$137.6K

$155.6K

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

As of Aug 18, 2026, the average yearly pay for entry level computer vision engineer in Washington, DC is $137,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,200.00 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:

Entry Level Computer Vision Engineer jobs near you
Infographic showing various Entry Level Computer Vision Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $137,551 per year, or $66.1 per hour.

Senior Computer Vision Engineer

Quidient

Columbia, MD • On-site

$160K - $210K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday

Job description

Quidient is a deep tech AI company pioneering advancements in Generalized (5D) Scene Reconstruction (GSR). GSR is poised to become one of the world's great digital product categories (think GPS, MRI, and LMM). Our flagship GSR product, Quidient Reality®, is a powerful API that enables anyone with a mobile device to virtualize, visualize, and measure anything. Words relevant to Quidient include Generative AI, Physics-Informed AI, Large Scene Models (LSMs), Large World Models (LWMs), and API-First.
Overview
Quidient is hiring a Senior Computer Vision Engineer to own and operate the computer vision pipelines that power our Generalized Scene Reconstruction Platform. This is a cross-team, cross-product role focused on ensuring CV pipelines are robust, well-integrated, and flowing correctly across every product surface of Quidient Reality®.
This is a full-time hybrid position based in Columbia, Maryland.
What You'll Do
Computer Vision Pipelines
  • Own and maintain end-to-end computer vision pipelines - from image preprocessing and calibration through feature extraction, depth estimation, and segmentation - ensuring data flows correctly across the platform.
  • Diagnose and resolve pipeline failures, data quality issues, and integration bugs across CV modules, keeping reconstruction inputs clean and reliable.
  • Build monitoring, testing, and validation infrastructure around CV pipelines to catch regressions early and maintain output quality.
  • Ensure CV pipelines perform reliably across deployment targets including mobile and autonomous vehicle platforms.
Cross-Team Integration & Tooling
  • Work across product and engineering teams to integrate CV outputs into downstream systems - reconstruction, rendering, and platform services.
  • Define and maintain interfaces and data contracts between CV modules and the teams that consume them, reducing integration friction.
  • Use PyTorch and related frameworks to debug, profile, and maintain ML-based CV components in production.
  • Build tooling and scripts that accelerate development workflows across the CV stack.
  • Contribute production-quality code in C++ and Python across shared CV infrastructure.
  • Collaborate closely with SLAM, SfM, reconstruction, and platform engineering teams to keep the full pipeline healthy and shipping.
What You Bring
Must-Have Qualifications:
  • Master's, or PhD in Computer Science, Computer Vision, Electrical Engineering, or a related field - or equivalent demonstrated experience.
  • Hands-on experience building, maintaining, or improving computer vision pipelines in production.
  • Solid understanding of core CV concepts: camera models, feature detection/matching, depth estimation, image segmentation, and multi-view geometry.
  • Proficiency with PyTorch or a comparable ML framework, applied to computer vision problems.
  • A pipeline-first mindset - you care about data flow, error handling, testing, and operational reliability as much as algorithmic novelty.
  • Strong C++ and Python skills in a production or research codebase context.
  • Good judgment about which techniques from the literature translate to production and which do not.
  • Must be a U.S. Citizen. This position is not eligible for H-1B Sponsorship.
  • Willingness to work on-site in Columbia, MD, in a hybrid capacity.
  • Meet Quidient, customer, and government security requirements, which may include, but are not limited to a background check, citizenship verification, and Criminal Justice Information Services verification.
Nice-to-Have Qualifications:
  • Experience in fast-paced or startup environments.
  • Experience with 3D reconstruction pipelines, including SfM, MVS, or neural scene representations (NeRF, Gaussian Splatting).
  • Exposure to mobile CV deployment (ARKit, ARCore, on-device inference) or autonomous vehicle perception stacks.
  • Experience with CI/CD, pipeline orchestration, or data validation frameworks in an ML or CV context.
  • Familiarity with SLAM, visual-inertial odometry, or sensor fusion systems.
  • Publications or open-source contributions in computer vision or 3D reconstruction (CVPR, ICCV, ECCV, or similar venues).
What We Offer
Compensation:
  • Salary Range: $160,000 - $210,000
  • Annual bonus and equity as appropriate.
Benefits:
  • Health insurance
  • HSA
  • 401(k) with company match
  • Life & disability insurance
  • Paid holidays & generous PTO
  • Opportunities for bonuses, equity, and career growth
Equal Opportunity Employer Statement
Quidient is an Equal Opportunity Employer. Quidient will consider all qualified applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other classification protected by applicable state, federal, or local laws.

Apply