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Full Time Computer Vision Postdoc Jobs (NOW HIRING)

MOLG Inc.

Computer Vision Engineer

Sterling, VA

$110.80K - $130.60K/yr

Hours: Full-time Location: Molg HQ in Chantilly, VA (Northern Virginia) Salary: Competitive ... As a Computer Vision Engineer, you will be responsible for: * Continuous design, development ...

Corning

Computer Vision Engineer

Painted Post, NY

$69.64K - $95.75K/yr

Corning Environmental Technologies (CET) is seeking a Computer Vision Engineer to join the ... The range for this position is $69,635.00 - $95,749.00 assuming full time status. Starting pay for ...

Infosys Limited Digital

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121.50K/yr

... science|Computer Vision Technical Skills 2 Technology|data science|PYTHON Technical Skills 3 ... Benefits Along with competitive pay, as a full-time Infosys employee you are also eligible for the ...

Booz Allen Hamilton

Computer Vision AI Engineer

Aurora, CO · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen Hamilton is seeking an innovative and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to ...

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Full Time Computer Vision Postdoc information

What are the key skills and qualifications needed to thrive as a Full Time Computer Vision Postdoc, and why are they important?

To thrive as a Full Time Computer Vision Postdoc, you need a strong background in computer vision, machine learning, and mathematical modeling, typically supported by a PhD in computer science, engineering, or a related field. Experience with programming languages such as Python or C++, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with version control and high-performance computing environments are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are crucial for collaborating with interdisciplinary teams and publishing research findings. These skills ensure the ability to drive innovative research, contribute to scientific advancements, and meet the rigorous demands of academic or industry research environments.

What are some common challenges faced by a Full Time Computer Vision Postdoc working in a research setting?

As a Full Time Computer Vision Postdoc, you may encounter challenges such as balancing independent research with collaborative projects, staying current with rapid advancements in machine learning techniques, and managing the publication process for top-tier conferences and journals. Additionally, you'll often need to adapt your work to align with the broader goals of your research group or funding body. Effective communication and teamwork are essential, as you'll likely collaborate with other researchers, engineers, and sometimes industry partners to push the boundaries of computer vision applications.

What is a Full Time Computer Vision Postdoc?

A Full Time Computer Vision Postdoc is a researcher who has completed their PhD and works full time on advanced research projects involving computer vision. This role typically involves developing new algorithms, conducting experiments, publishing papers, and collaborating with other scientists in areas such as image recognition, object detection, and machine learning. Postdocs often work at universities, research institutes, or tech companies, and their work helps drive innovation in fields like robotics, healthcare, and autonomous vehicles. The position is generally temporary, lasting from one to three years, and is designed to build expertise before pursuing more permanent academic or industry roles.
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Infographic showing various Full Time Computer Vision Postdoc job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution.

Computer Vision Engineer

MOLG Inc.

Sterling, VA

$110.80K - $130.60K/yr

Full-time

Medical, Vision

Posted 2 days ago

Job description

Hours: Full-time

Location: Molg HQ in Chantilly, VA (Northern Virginia)

Salary: Competitive compensation, including salary, equity, and full healthcare benefits


OUR MISSION

Tackle the fast growing e-waste problem by making electronics manufacturing circular. 


Molg builds robotics microfactories and software to autonomously assemble and disassemble complex electronic products like laptop PCs, servers, and battery packs. Working with some of the leading computer + server manufacturers as well as industrial companies like Stanley Black and Decker, we are building the circular manufacturing technology to recover existing in-market devices for reuse and recycling as well as helping develop the next generation of circular-focused devices at the design level. 


IN THIS ROLE YOU WILL:

Work with a talented cross-functional team of software, mechanical, electrical, and robotics engineers to develop our core technologies in computer vision as it relates to our robotics and microfactories. As a Computer Vision Engineer, you will be responsible for:


  • Continuous design, development, testing, and deployment of 2D and 3D vision capabilities incorporated into the Molg Microfactories.

  • Testing and verifying accuracy and precision of off-the-shelf and novel in-house vision feedback systems as it relates to robotic motion planning and grasping.

  • Collaborating with robotic, mechanical, and software engineers on design and packaging of vision systems inside Molg Microfactory designs. 


WHO YOU ARE:

  • 3+ years of industry experience in computer vision, machine vision, or image processing in manufacturing environments

  • Proficient in modern software development (e.g. python, ROS, github, docker, etc)

  • Passionate about robotics, automation, and control systems

  • Ability to communicate effectively and efficiently both verbally and in writing


WHO WE ARE:

We spend our days building robotic systems, developing complex assembly intelligence software, and designing the next generation of circular products for our customers. Given the importance of working hands-on with physical systems, we are a 100% in-person team collaboratively working in our industrial space in Chantilly, VA, down the road from the largest data center market in the world.  Our facility includes a variety of robots, CNC milling machines, 3D printers, and all the tools needed to build and test our products. It is important to us that anyone on our team that is interested in learning how to use our various pieces of equipment and machinery is taught and can gain the skills and appreciation for making physical things.   


While we are primarily funded by our work with Fortune 100 companies, we are also supported by amazing backers like Elemental Excelerator and Techstars. 


THINGS TO KNOW:

  • We’re a small collaborative team with big ambitions, and there’s a good amount of context-switching. We expect people to be autonomous and drive their own work to completion.

  • We are a profitable business that is primarily funded from customer revenue, which means we are scrappy and looking to build a great sustainable company for years to come.

  • As a growing company and startup, priorities may shift as customer or business requirements change. We strive to empower individuals with context and decision-making power to meet this need. 

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