1

Senior Computer Vision Jobs in Ohio (NOW HIRING)

Physical AI Senior Manager

Columbus, OH

$122K - $161K/yr

Physical AI Senior Manager - Manufacturing & Supply Chain We are a team of strategic advisors ... Computer vision for industrial environments (e.g., inspection, defect detection, safety, tracking ...

Physical AI Senior Manager

Cincinnati, OH

$121K - $160K/yr

Physical AI Senior Manager - Manufacturing & Supply Chain We are a team of strategic advisors ... Computer vision for industrial environments (e.g., inspection, defect detection, safety, tracking ...

Physical AI Senior Manager

Cleveland, OH · On-site

$122K - $162K/yr

Physical AI Senior Manager - Manufacturing & Supply Chain We are a team of strategic advisors ... Computer vision for industrial environments (e.g., inspection, defect detection, safety, tracking ...

Develop computer vision prototypes to detect and predict interactions between objects in multi-modal imagery. * Implement unsupervised and supervised learning methods to support mission-specific ...

AI/ML Engineer, Senior

Dayton, OH · On-site

$101K - $139K/yr

They are seeking a Senior AI/ML Engineer to design, build, and deploy advanced AI/ML solutions for ... computer vision models, aligned to mission requirements. • Build and optimize scalable data ...

next page

Showing results 1-20

Senior Computer Vision information

What engineers make $300,000 a year?

Senior computer vision engineers with extensive experience, advanced skills in deep learning and image processing, and often working in high-demand industries such as autonomous vehicles or AI research can earn $300,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

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

To thrive as a Senior Computer Vision Engineer, you need deep expertise in computer vision algorithms, machine learning, and a strong background in mathematics or computer science, usually supported by an advanced degree. Mastery of programming languages like Python or C++, and experience with frameworks such as OpenCV, TensorFlow, or PyTorch, as well as familiarity with cloud platforms and GPU computing, are typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate across interdisciplinary teams are vital soft skills. These competencies are crucial for developing innovative vision solutions, ensuring project success, and translating complex technical concepts for diverse stakeholders.

What does a Senior Computer Vision Engineer do?

A Senior Computer Vision Engineer designs and implements algorithms that enable computers to interpret and process visual data from the world, such as images and videos. They work on tasks like object detection, image classification, and facial recognition, often using machine learning and deep learning techniques. Senior-level professionals also lead projects, mentor junior engineers, and help integrate computer vision solutions into products or services. Their expertise is critical in industries like autonomous vehicles, healthcare, robotics, and security.

What engineer makes $500,000 a year?

Senior Computer Vision engineers with extensive experience, advanced skills in deep learning and image processing, and work at top tech companies or in specialized industries can earn salaries around $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a proven track record, and expertise in tools like TensorFlow or PyTorch.

Which 3 jobs will survive AI?

Senior Computer Vision roles are likely to persist because they require specialized expertise in image analysis, deep learning, and domain-specific knowledge that are difficult to fully automate. Jobs involving complex problem-solving, creativity, and human interaction, such as AI specialists, data scientists, and cybersecurity analysts, are also expected to remain in demand. These roles often require continuous learning and adaptation to new tools and techniques, making them more resilient to automation.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, including autonomous vehicles, medical imaging, and security systems. Senior computer vision professionals are in demand for developing algorithms, working with deep learning frameworks, and deploying real-world solutions. The field continues to grow as new techniques and tools emerge, making it a viable career choice for those with relevant skills and experience.

What are some common challenges faced by Senior Computer Vision Engineers when deploying models to production environments?

Senior Computer Vision Engineers frequently encounter challenges such as ensuring model robustness under real-world conditions, optimizing inference speed for large-scale deployments, and managing diverse data quality issues. Additionally, integrating computer vision models into existing software systems often requires close collaboration with backend engineers and DevOps teams to maintain reliable, scalable pipelines. Addressing these obstacles typically involves rigorous testing, ongoing model monitoring, and iterative improvement to ensure accuracy and performance in dynamic environments.
What are the most commonly searched types of Computer Vision jobs in Ohio? The most popular types of Computer Vision jobs in Ohio are:
What are popular job titles related to Senior Computer Vision jobs in Ohio? For Senior Computer Vision jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Senior Computer Vision jobs? Cities in Ohio with the most Senior Computer Vision job openings:

Data Science - Senior with Security Clearance

GRVTY

Dayton, OH • On-site

Other

Posted 21 days ago


Job description

***Requires an active TS/SCI Security Clearance with the ability to obtain a CI Poly**** What You'll Be Owning: Develop computer vision prototypes to detect and predict interactions between objects in multi-modal imagery. Implement unsupervised and supervised learning methods to support mission-specific analytic workflows. * Build and manage datasets for training and evaluation in collaboration with subject matter experts (SMEs).

Integrate prototypes into NASIC and broader DoD/IC IT architectures. Design and maintain data structures ("memory systems") that store learned patterns, support dynamic updates, and provide auditability. Follow secure software development practices, leveraging Python (preferred, v3.11+) and/or C++ in government repositories.

Conduct prototype reviews, code walkthroughs, and demonstrations with NASIC stakeholders. Participate in bi-weekly technical interchange meetings and status updates. What You Must Have: At least 10 years of software development experience Active TS/SCI security clearance * Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or equivalent experience.

Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring conventions) and familiarity with C++. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) for computer vision applications. * Background in object detection, scene understanding, and spatial reasoning.

Hands-on experience with unsupervised learning methods and dataset development. Ability to work in secure environments and follow strict code review and documentation standards. What Would Be Nice to Have * Knowledge of geospatial intelligence (GEOINT) workflows and imagery modalities.

Familiarity with Air Force / DoD software security constraints and classified development practices. Experience designing dynamic and auditable data structures for knowledge persistence. * Ability to collaborate closely with government technical managers (GTMs) and SMEs in a fast-paced prototyping environment.

This posting is for a position that is part of a proposal or future opportunity. While this role is not currently funded, we anticipate openings in the near future. Our recruiting team will contact qualified candidates as positions become available.