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Computer Vision Research Assistant Jobs in Raleigh, NC

As a Manger of Research Science in Machine Learning you will direct the activities of a research ... Use your previous expertise in AI/ML techniques for computer vision, physics informed ML, and ...

Senior Vision Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

They will serve as a key resource, driving R&D as a senior developer that both contributes to ... Experience with computer vision. * Knowledge of regulatory requirements and data privacy ...

... R&D sites • Serve as technical authority, evaluating emerging technologies in imaging, computer vision, and AI/ML for breeding applications • Partner with IT teams to architect cloud-based ...

... R&D sites Serve as technical authority, evaluating emerging technologies in imaging, computer vision, and AI/ML for breeding applications Partner with IT teams to architect cloud-based platforms (AWS ...

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g ...

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

As of Jun 6, 2026, the average yearly pay for computer vision research assistant in Raleigh, NC is $46,949.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,900.00 and $54,000.00 per year, depending on experience, location, and employer.

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

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.

What are Computer Vision Research Assistants?

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 are the typical projects and daily tasks for a Computer Vision Research Assistant?

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 job categories do people searching Computer Vision Research Assistant jobs in Raleigh, NC look for? The top searched job categories for Computer Vision Research Assistant jobs in Raleigh, NC are:
Manager of Research Science

Manager of Research Science

Cree

Durham, NC • On-site

Full-time

Posted 14 days ago


Job description

At Wolfspeed, we do amazing things in a human way.

We know that the achievements of our organization are due to the passion, hard work and creativity of our employees. We celebrate different perspectives to foster excellence across our organization, and our goal is to make diversity a foundation of what we do. We are proudly building an environment where you can bring your authentic self to work.

  • Enjoy doing things that people say can't be done? Innovation is at the center of everything we do.
  • Hate red tape? We remove roadblocks instead of creating them.
  • Working parent? We provide childcare assistance and paid parental leave.
  • Student? We offer continuing education assistance.
  • Looking for community? There are many ways to get involved, from Employee Resource Groups to local outreach.

Here's the Gist (1-2 sentences to summarize the role):

As a Manger of Research Science in Machine Learning you will direct the activities of a research group in the research and/or development of technology relevant to Wolfspeed's future products, projects and programs. You will collaborate with others on the direction of basic research and development relevant to long-term objectives and concerns and develop strategies to ensure effective achievement of scientific objectives. Additionally, you will oversee interdepartmental activities and research efforts.

The Day-to-Day:

  • Lead a team of R&D ML Engineers in deploying enterprise manufacturing solutions to increase revenue and product quality
  • Interface regularly across operations, R&D, and IT to develop novel ML techniques for semiconductor manufacturing and development
  • Use your previous expertise in AI/ML techniques for computer vision, physics informed ML, and reinforcement learning to mentor early-in-career engineers
  • Bring your previous semiconductor/materials science subject matter expertise to discussions

This Job is Right for You if You Have (Minimum Requirements)

  • Ph. D. Materials Science, chemical engineering, physics, electrical Engineering, Machine Learning or equivalent degree
  • 3-5 years leading an ML team in a high-volume manufacturing setting
  • Strong track record of leading cross-functional teams in a dynamic environment
  • Prior experience implementing AI solutions into a semiconductor or materials high volume manufacturing environment
  • Expertise in dislocation characterization, crystallography, semiconductor device physics and processing
  • Expertise in computational modeling of materials systems such as DFT and finite element model Multiphysics simulation

This role may require additional duties and/or assignments as designated by management.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.


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About Cree

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Durham, NC, US

Year founded

1987

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