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Computer Vision Research Intern Jobs (NOW HIRING)

Kitware

Computer Vision Researcher

Clifton Park, NY

$125K - $170K/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

New York, NY · On-site

$125K - $170K/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

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 ...

Oxy

Senior AI - Computer Vision Engineer

Houston, TX · On-site

$117K - $154K/yr

Lead research and development (R&D) efforts to evaluate, prototype, and adopt stateoftheart (SOTA) computer vision models and techniques where they provide business or operational value * Stay ...

Labelbox

Applied Research Intern

San Francisco, CA

Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize ... D. or Master's degree in Computer Science, Machine Learning, AI, or a related field (in progress ...

Apple

Senior Computer Vision Architect

Sunnyvale, CA · On-site

The Video Computer Vision organization within Video Engineering is a centralized applied research ... We strike a balance between research and product development to deliver Apple-quality ...

Oxy

Senior AI - Computer Vision Engineer

Houston, TX · On-site

$99K - $137K/yr

Lead research and development (R&D) efforts to evaluate, prototype, and adopt state-of-the-art (SOTA) computer vision models and techniques where they provide business or operational value * Stay ...

Kitware

3D Computer Vision Researcher

Clifton Park, NY · On-site

Our 3D vision research projects support the continued development of these tools, development and ... PhD in Computer Science or related field * Experience using multiview geometry to develop ...

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Our 3D vision research projects support the continued development of these tools, development and ... PhD in Computer Science or related field * Experience using multiview geometry to develop ...

Kitware

3D Computer Vision Researcher

Arlington, VA

$155K - $215K/yr

Our 3D vision research projects support the continued development of these tools, development and ... PhD in Computer Science or related field * Experience using multiview geometry to develop ...

Kitware

3D Computer Vision Researcher

Clifton Park, NY

$125K - $170K/yr

Our 3D vision research projects support the continued development of these tools, development and ... PhD in Computer Science or related field * Experience using multiview geometry to develop ...

Kitware

3D Computer Vision Researcher

New York, NY · On-site

$125K - $170K/yr

Our 3D vision research projects support the continued development of these tools, development and ... PhD in Computer Science or related field * Experience using multiview geometry to develop ...

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Computer Vision Research Intern information

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$2.1K

$6.4K

$7.8K

How much do computer vision research intern jobs pay per month?

As of Jun 24, 2026, the average monthly pay for computer vision research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What does a Computer Vision Research Intern do?

A Computer Vision Research Intern assists in developing and testing algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition, supporting senior researchers in implementing and optimizing machine learning models. Interns may also be involved in collecting datasets, analyzing experiment results, and preparing research documentation. This role is ideal for students or recent graduates with a strong interest in artificial intelligence, programming, and visual data analysis.

What types of projects and collaborations can a Computer Vision Research Intern expect during their internship?

As a Computer Vision Research Intern, you will typically work on projects involving image recognition, object detection, or video analysis, often using deep learning frameworks like TensorFlow or PyTorch. Interns usually collaborate closely with senior researchers and software engineers, contributing to model development, data annotation, and experimental analysis. You may participate in regular team meetings, present your findings, and integrate your work into larger research initiatives. This environment provides exposure to cutting-edge technologies and valuable mentorship, laying a strong foundation for future advancement in AI research.

What are the key skills and qualifications needed to thrive as a Computer Vision Research Intern, and why are they important?

To thrive as a Computer Vision Research Intern, you need a solid background in computer science, mathematics, and machine learning fundamentals, often demonstrated by relevant coursework or a degree in a related field. Familiarity with programming languages such as Python or C++, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and proficiency in using computer vision libraries like OpenCV are typically required. Strong analytical thinking, creativity, and effective communication skills help you solve complex problems and present research findings clearly. These skills and qualities are essential for developing innovative solutions and contributing meaningfully to research projects in a fast-evolving field.
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Computer Vision Research Intern jobs near you
Infographic showing various Computer Vision Research Intern job openings in the United States as of June 2026, with employment types broken down into 68% Full Time, and 32% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.
Computer Vision Researcher

Computer Vision Researcher

Kitware

Clifton Park, NY

$125K - $170K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 11 days ago

Job description

Team Description:
Kitware's computer vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME and Telesculptor. 

About the Projects: 
Our employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware's work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. In this case, you will have the opportunity to contribute your skills to projects focused on national security, making a difference on a daily basis to protect our country. Research and Development Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work.

We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, NVESD, NOAA, ONR, other branches of the US military, and multiple members of the Intelligence Community on a range of efforts including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities, and to provide flexible, high-quality technical solutions. If you've used CMake, ITK, or VTK, you know our work and the impact it has on the communities we help build.
In This Position You Will:
  • Develop robust solutions in the areas of object based detection, feature detection, motion pattern learning and anomaly detection
  • Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV)
  • Be encouraged to seek funding to grow and develop your own research areas, if you desire
Required Qualifications:
  • PhD in Computer Science or related field
  • Strong publication record in top-tier research publications and conferences
  • Highly innovative and demonstrated track record for solving difficult technical challenges using imagery
  • Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
  • Candidates should include a detailed list of publications as part of their resume/CV
  • Due to contractual restrictions, only US Citizens will be considered for this position
  • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance
Preferred Qualifications:
  • Experience with deep learning methods is desirable, but not required
  • Experience with geospatial coordinates systems and transformation is desirable, but not required
$125,000 - $170,000 a year
Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.  

Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified.  

Additional Information:
Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. 

For more information on our benefit offerings please visit: https://www.kitware.com/careers/.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. 

Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property.  Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees.

If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at [email protected] at any time during the hiring process.  
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.
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