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Computer Vision Jobs in Halethorpe, MD (NOW HIRING)

Quidient

Senior Computer Vision Engineer

Columbia, MD · On-site

$160K - $210K/yr

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 ...

Interclypse Inc.

Computer Programmer

Annapolis, MD · On-site

To actualize this vision, Interclypse employs a growth mindset culture that empowers employees to rise in their careers by providing them with tools, mentorship, and a supportive environment to ...

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All JobsComputer Vision JobsComputer Vision Jobs in Halethorpe, MD

Computer Vision information

See Halethorpe, MD salary details

$32.7K

$47.2K

$62K

How much do computer vision jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computer vision in Halethorpe, MD is $47,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,100.00 and $54,200.00 per year, depending on experience, location, and employer.

What is a computer vision?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What does a computer vision professional do?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

What are the key skills and qualifications needed to thrive in computer vision?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

Is computer vision a good career?

Computer vision is a growing field within artificial intelligence that involves developing algorithms to interpret visual data. It offers opportunities in industries such as healthcare, automotive, and security, often requiring skills in programming, machine learning, and image processing. Job prospects are strong, with demand for specialists who can work with tools like OpenCV and deep learning frameworks.

What are computer vision jobs?

Computer vision jobs involve developing algorithms and systems that enable computers to interpret and analyze visual data such as images and videos. Roles often require skills in machine learning, programming languages like Python or C++, and familiarity with tools like OpenCV or deep learning frameworks. These jobs are common in industries like robotics, healthcare, automotive, and security, and may require a background in computer science or engineering.

What job categories do people searching Computer Vision jobs in Halethorpe, MD look for?

The top searched job categories for Computer Vision jobs in Halethorpe, MD are:

What cities near Halethorpe, MD are hiring for Computer Vision jobs?

Cities near Halethorpe, MD with the most Computer Vision job openings:

Computer Vision jobs near you
Infographic showing various Computer Vision job openings in Halethorpe, MD as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $47,173 per year, or $22.7 per hour.

Senior Computer Vision Engineer

Quidient

Columbia, MD • On-site

$160K - $210K/yr

Full-time

Medical, Life, Retirement, PTO

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

Job description

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 DoComputer 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 BringMust-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 OfferCompensation:
  • 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.

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