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Computer Vision Research Assistant Jobs (NOW HIRING)

Computer Vision Engineer

Hawthorne, NY ยท On-site

$130K - $180K/yr

Computer Vision Engineer LOCATION: Hawthorne, NY (on-site) TYPE : Full time, regular COMPENSATION ... Our R&D team drives innovation, product enhancements, and a strong pipeline of new solutions, while ...

Computer Vision Engineer

Seattle, WA ยท On-site

$160K - $275K/yr

... research within the field of computer vision. We are seeking a Senior Computer Vision Engineer to ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

With global departments dedicated to research and development in computer vision, machine learning ... Experience applying AI/generative models in practice -- coding assistants and agentic tooling for ...

This role is for one of our clients Compensation: $80-$110 per hour Join a cutting-edge AI research ... We are seeking experienced Computer Vision Experts to serve as subject matter experts, designing ...

Stay current with state-of-the-art research in computer vision and human-computer interaction * Publish research findings in top-tier conferences and journals Requirements * PhD or MS in Computer ...

Computer Vision Engineer

San Diego, CA ยท On-site

$118K - $139K/yr

Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including video processing, quality ...

Computer Vision Engineer

Seattle, WA ยท On-site +1

$160K - $275K/yr

... research within the field of computer vision. We are seeking a Senior Computer Vision Engineer to ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Computer Vision Engineer

San Diego, CA ยท On-site

$118K - $139K/yr

Principal Duties and ResponsibilitiesLeverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms ...

Computer Vision Engineer

Hawthorne, NY ยท On-site

$130K - $180K/yr

Computer Vision Engineer LOCATION: Hawthorne, NY (on-site) TYPE : Full time, regular COMPENSATION ... Our R&D team drives innovation, product enhancements, and a strong pipeline of new solutions, while ...

NY ยท On-site

$118K - $140K/yr

Our R&D team drives innovation, product enhancements, and a strong pipeline of new solutions, while ... Role Summary The Computer Vision Engineer will play a key role in the development, integration, and ...

New

Computer Vision Engineer

Bellevue, WA ยท On-site

$125K - $148K/yr

/Computer Vision Engineer# Computer Vision EngineerSID Global SolutionsBellevue, USFull-time## About ... Deliver artifacts (research, schematics, prototypes, 3D models, analysis, test plans, narratives ...

Computer Vision Engineer

Bellevue, WA ยท On-site

$125K - $148K/yr

Deliver artifacts (research, schematics, prototypes, 3D models, analysis, test plans, narratives ... Must-Have Qualifications Proven experience in computer vision (CV) and machine learning (ML ...

Computer Vision Engineer

Bellevue, WA ยท On-site

$125K - $147K/yr

Deliver artifacts (research, schematics,prototypes, 3D models, analysis, test plans, narratives ... Proven experience in computer vision (CV)and machine learning (ML) integration for real-time ...

Showing results 41-60

Computer Vision Research Assistant information

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$33.5K

$48.3K

$63.5K

How much do computer vision research assistant jobs pay per year?

As of Sep 14, 2026, the average yearly pay for computer vision research assistant in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What is a computer vision research assistant?

Computer Vision Research Assistants are professionals who support research projects focused on developing algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They assist with tasks like data collection, annotation, running experiments, literature review, and implementing computer vision models. These roles often require knowledge of programming, machine learning, and image processing techniques, and are commonly found in academic labs, tech companies, and research institutions. Their work helps advance the field by contributing to innovations in areas like object recognition, autonomous vehicles, medical imaging, and augmented reality.

What does a computer vision research assistant do?

As a Computer Vision Research Assistant, you can expect to work on tasks such as collecting and annotating image datasets, implementing and testing computer vision algorithms, and assisting with experimental design for research studies. You will frequently collaborate with graduate students, faculty, or senior researchers to analyze data and prepare reports or presentations. Your daily work may involve coding in Python or MATLAB, running experiments, and troubleshooting model performance, all within a collaborative research team environment.

What are the key skills and qualifications needed to thrive as a computer vision research assistant?

To thrive as a Computer Vision Research Assistant, you need a strong background in computer science, mathematics, and image processing, often supported by a relevant degree or coursework. Experience with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and familiarity with computer vision libraries (like OpenCV) are typically required. Critical thinking, problem-solving abilities, and effective communication help distinguish top candidates in collaborative research environments. These skills and qualifications are essential for developing innovative solutions, efficiently analyzing visual data, and contributing to cutting-edge research projects.
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Infographic showing various Computer Vision Research Assistant job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Computer Vision Engineer

Hawthorne, NY โ€ข On-site

Clarapath Inc
1 - 10 employees

$130K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

JOB TITLE: Computer Vision Engineer

LOCATION: Hawthorne, NY (on-site)

TYPE: Full time, regular

COMPENSATION: $130,000 - $180,000/yr

Clarapath is a medical robotics company based in Westchester County, NY, dedicated to transforming and modernizing laboratory workflows. Our mission is to improve patient care by increasing efficiency, reducing costs, and enhancing the quality and consistency of laboratory processes.

Our portfolio includes SectionStar and TrimStar Pro, innovative electro-mechanical systems designed to automate and elevate critical steps in the histology workflow. SectionStar delivers high-quality, consistent tissue sections, while TrimStar Pro streamlines and standardizes the trimming process - together enabling laboratories to operate with greater precision, throughput, and reliability.

At Clarapath, we bring together experts across engineering, data science, robotics, healthcare innovation, and laboratory operations. Our R&D team drives innovation, product enhancements, and a strong pipeline of new solutions, while our manufacturing team oversees production and quality control at our ISO-certified facility. Also based in our New York headquarters are our sales, marketing, administrative, and service teams, who work closely together to ensure every customer receives a seamless, personalized experience at every touchpoint.

Role Summary:

The Computer Vision Engineer will play a key role in the development, integration, and continuous improvement of computer vision systems for Clarapaths advanced SectionStar and TrimStar Pro platforms. This individual will contribute to all phases of the product development lifecycle, from algorithm development and data collection through model training, testing, validation, deployment, and continuous improvement in the field. Working closely with mechanical, electrical, embedded software, manufacturing, quality, and customer-facing teams, the Computer Vision Engineer will develop robust vision-based solutions that enable accurate, reliable, and automated laboratory workflows while meeting performance, reliability, and regulatory requirements. We are seeking a hands-on engineer who enjoys solving complex technical challenges, thrives in a collaborative and fast-paced environment, and is passionate about applying computer vision, machine learning, and image processing technologies to innovative medical devices and automation systems that improve laboratory workflows and patient outcomes.

Responsibilities:

  • Develop, implement, and optimize computer vision and image processing algorithms for medical robotics and automated laboratory systems
  • Design vision-based solutions for object detection, segmentation, tracking, registration, measurement, inspection, and alignment
  • Develop and deploy machine learning and deep learning models for image analysis and automated decision-making
  • Collect, curate, annotate, and analyze image datasets to support algorithm and model development
  • Evaluate model and algorithm performance using appropriate metrics, testing methodologies, and real-world datasets.
  • Integrate computer vision algorithms with robotic, mechanical, electrical, and software systems.
  • Develop solutions that operate reliably under real-world variations in lighting, positioning, imaging conditions, tissue characteristics, and system configurations
  • Prototype and test algorithms using laboratory equipment, imaging systems, and production hardware
  • Troubleshoot and optimize vision systems during development, verification, manufacturing, and field deployment
  • Collaborate with Software, Electrical, Mechanical, Manufacturing, Quality, and R&D teams to translate system requirements into practical computer vision solutions
  • Participate in design reviews, technical investigations, root-cause analysis, and continuous improvement initiatives
  • Develop technical documentation, test plans, verification procedures, and other engineering documentation in accordance with medical device development practices
  • Support verification and validation activities and contribute to maintaining compliance with applicable quality and regulatory requirements
  • Monitor deployed systems and use performance data to identify opportunities for algorithm and product improvements
  • Stay current with advances in computer vision, machine learning, image processing, and AI technologies and evaluate their potential application to Clarapath products

Qualifications:

  • Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Applied Mathematics, or a related technical field
  • 5+ years of professional experience developing computer vision, image processing, machine learning, or related systems
  • Strong programming skills in Python and/or C++
  • Experience with computer vision and image processing libraries such as OpenCV.
  • Experience developing, training, evaluating, and deploying machine learning or deep learning models.
  • Familiarity with frameworks such as PyTorch, TensorFlow, or similar
  • Strong understanding of image processing, computer vision fundamentals, and machine learning concepts
  • Experience working with real-world imaging data and developing solutions that perform reliably outside of controlled laboratory environments
  • Strong analytical and problem-solving skills
  • Ability to work hands-on with hardware, imaging systems, and laboratory or robotic equipment
  • Excellent communication and collaboration skills
  • Ability to work effectively in a fast-paced, multidisciplinary engineering environment
  • Willingness to work on-site in Hawthorne, NY
  • Experience with 3D computer vision, depth sensing, stereo vision, or point-cloud processing, a plus
  • Experience with object detection, image segmentation, image registration, feature extraction, or optical flow, a plus
  • Experience working with cameras, lenses, lighting systems, and image acquisition hardware, a plus
  • Experience integrating computer vision systems with robotics or automated equipment, a plus
  • Experience with NVIDIA GPUs, CUDA, TensorRT, or edge AI deployment, a plus
  • Experience optimizing computer vision or machine learning models for real-time performance, a plus
  • Experience with robotic systems, motion control, or automation, a plus
  • Experience working with medical devices, laboratory automation, biomedical imaging, or regulated products, a plus
  • Familiarity with software development practices including Git, code reviews, automated testing, and CI/CD, a plus
  • Experience with system-level debugging and root-cause analysis, a plus
  • Familiarity with ISO 13485, design controls, and medical device development processes, a plus

Company Offers:

  • Competitive salary & equity opportunities
  • Medical, dental & vision insurance
  • Employer-paid life & disability insurance
  • 401(k) with company contributions
  • HSA & FSA options
  • Generous PTO & paid holidays
  • Daily catered lunch
  • Commuter benefits
  • Employee wellness & assistance programs
  • Career growth & development opportunities
  • Collaborative, innovative, and mission-driven work environment

Clarapath is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. In addition to federal law requirements, Clarapath complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.