2

Full Time Computer Vision Postdoc Jobs (NOW HIRING)

Join Woodhaven Furniture as a Full Time CAD Technician and immerse yourself in an exciting, hands ... You will have benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Competitive Salary ...

Head of Computer Vision

San Francisco, CA ยท On-site

$230K - $300K/yr

We've built a high-performing CV team attacking the most non-trivial problems in applied vision ... This is full-time & in-person in SF. Learning rate and dedication beat pedigree. If you can prove ...

Join Woodhaven Furniture as a Full Time CAD Technician and immerse yourself in an exciting, hands ... You will have benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Competitive Salary ...

Join Woodhaven Furniture as a Full Time CAD Technician and immerse yourself in an exciting, hands ... You will have benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Competitive Salary ...

$86.30K - $164K/yr

POSITION SPECIFICS We are seeking a Computer Vision Engineerto join the Image Science and Computer ... full-time employees designed to support both personal and professional well-being. In addition to ...

$203.20K/yr

Edge AI Architect - CUDA / C++ / Computer Vision Experience Level: 10+ Years Department: Edge AI ... Employment Type: FULL_TIME

next page

Showing results 1-20

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.
More about Full Time Computer Vision Postdoc jobs
What cities are hiring for Full Time Computer Vision Postdoc jobs? Cities with the most Full Time Computer Vision Postdoc job openings:
What are the most commonly searched types of Computer Vision Postdoc jobs? The most popular types of Computer Vision Postdoc jobs are:
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.
Software Engineer - Computer Vision & Machine Learning

Software Engineer - Computer Vision & Machine Learning

RFA Engineering

Urbandale, IA โ€ข On-site

$70K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

RFA Engineering (www.rfamec.com) supports industry-leading clients through the full software development lifecycle to build cutting-edge precision agriculture, machine guidance, vehicle automation and autonomy applications. We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and much more. Collaborate with a team of industry experts onsite at our client's world-class engineering center and contribute to developing innovative solutions that drive sustainable agriculture practices.
This is a full-time position with a full benefit package listed below that includes opportunities for professional growth, direct hire by our customers, and additional opportunities within our own organization.
Software Engineer - Computer Vision & Machine Learning
RFA Engineering is seeking a Software Engineer in the field of Robotics, Perception, Vision Processing and Machine Learning to architect, develop and integrate new intelligent features into the next generation of agricultural and off-highway equipment.
Responsibilities
  • Develop machine learning and computer vision algorithms for automation and autonomy product development.
  • Design, implement, and optimize machine learning algorithms and computer vision solutions for production intent hardware. Work with Stereo, monocular cameras, Lidar, radar, edge compute devices.
  • Data collection and processing for CVML algorithms development. Utilize data-driven insights to inform your development process and improve models/algorithms.
  • Quickly learn new technologies, tools, and methodologies in the fields of computer vision and machine learning. Stay abreast of the latest research and trends, applying this knowledge to your work and sharing insights with the team.
  • Primary needs relating to theoretical geometric computer vision - involving concepts like singletons, SLAM (localization, mapping), triangulation, projective geometry, feature detection, depth estimation, camera models/calibration/rectification
  • Secondary needs relating to Machine Learning algorithm development. All aspects of model architecture development including: problem definition, data collection/prep, model selection, architecture design, training , evaluation, optimization, deployment, monitoring/maintenance.

Technical Qualifications:
  • Experience with data visualization, data management, data querying (eg SQL, Tableau, PowerBI, matplotlib)
  • Experience developing and understanding computer vision and machine learning algorithms (models development in pytorch, tensorflow, experience with linear algebra, optimization etc.)
  • Ability to quickly learn state of the art technologies, state of the art research in the domains of computer vision, AI, robotics and be able to implement.
  • Competent in generating, interpreting, and communicating statistical data well and measuring the right statistics to answer the right questions
  • Comfortability reading documentation to read and write good code
  • Proficiency in C++ and/or Python.
  • Experience with Databricks, AWS, cloud
  • Technical expertise matters less in comparison to intelligence, work ethic, and willingness to learn.

Personal Qualification
  • Exceptional work ethic and willingness to learn.
  • Trailblazing spirit: Eager to solve problems in the autonomous robotics and AI space that have never been solved before.
  • Passionate about artificial intelligence, machine learning, robotics, autonomy, and automation.
  • Eager to OWN work fully and to make decisions with autonomy to deliver.

Pay Range: $70,000-$140,000 - Commensurate with experience
Visa Sponsorship is NOT available for this position.
About RFA Engineering
RFA Engineering has provided product development and engineering services to industry leading customers since 1943. Our primary focus is the development of off highway equipment including agricultural, construction, mining, recreational, industrial, and special machines. Our work includes concept development, product design, documentation, problem-solving, simulation, optimization, and testing of components, systems and complete machines. Our engineering staff is located at our Engineering Center in Minneapolis, branch office in Dubuque, IA, and at numerous customer sites throughout the U.S.
Competitive Benefits
  • Health and Dental Insurance
  • TelaDoc Healthiest You
  • Supplemental Vision Insurance
  • Company Paid Life Insurance
  • Company Paid Long-Term Disability
  • Short-term Disability
  • Retirement Savings Account (Traditional 401k & Roth 401k)
  • Flexible Spending Plan Dependent Care
  • HSA for Medical Expenses
  • Bonus Plan (Exempt Employees Only)
  • Paid Time Off (PTO)
  • Paid Holidays
  • Bereavement Leave
  • Employee Assistance Programs (EAP)
  • Education Assistance

Equal Opportunity and Veteran Friendly
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.