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Remote Computer Vision Engineer Jobs in Ohio (NOW HIRING)

CAD Automation Engineer

Norwood, OH · On-site +1

$60K - $155K/yr

Position is held in Norwood, Ohio with a hybrid office/remote schedule. Travel is rare but may be ... Medical, dental, prescription and vision coverage, first day of employment * Matching 401(k) ...

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Remote Computer Vision Engineer information

See Ohio salary details

$46.1K

$115.5K

$130.7K

How much do remote computer vision engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote computer vision engineer in Ohio is $115,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What is a Remote Computer Vision Engineer job?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Computer Vision Engineer position, and why are they important?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What are the most commonly searched types of Computer Vision Engineer jobs in Ohio? The most popular types of Computer Vision Engineer jobs in Ohio are:
What are popular job titles related to Remote Computer Vision Engineer jobs in Ohio? For Remote Computer Vision Engineer jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Remote Computer Vision Engineer jobs? Cities in Ohio with the most Remote Computer Vision Engineer job openings:
Computer Vision Software Engineer, Mid

Computer Vision Software Engineer, Mid

Booz Allen Hamilton

Dayton, OH • On-site, Remote

$69K - $158K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 23 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description

Computer Vision Software Engineer, Mid

The Opportunity

Join a missionfocused engineering team building advanced computer vision (CV), multisensor fusion, and detection and tracking capabilities for remote sensing and GEOINT environments. As a MidLevel Computer Vision Engineer, you will design, implement, and optimize CV algorithms and deep learning pipelines, contributing to operational systems used across national security-related missions. You will work closely with senior engineers while owning welldefined components of the technical solution.

What You'll Work On:

  • Develop and implement computer vision algorithms for target detection, characterization, and tracking across single and multisensor data.

  • Build and maintain model training, evaluation, and deployment pipelines in Python or C++.

  • Apply deep learning approaches, including transformerbased architectures such as DINO, CLIP, or SAM, to image understanding problems.

  • Integrate classical estimation methods, such as Kalmanfamily filters with modern deep learning workflows to support realtime algorithm development.

  • Contribute to GPUaccelerated model development using CUDA, RAPIDS, or vendorprovided inference runtimes.

  • Collaborate with multidisciplinary engineering teams to test, refine, and operationalize computer vision models for constrained compute or realtime environments.

  • Support the implementation of microservicebased inference pipelines or containerized model deployments under senior guidance.

  • Contribute to the architecture and implementation of novel single and multi-sensor platform detection and tracking algorithms and track fusion of targets.

Join us. The world can't wait.

You Have:

  • 3+ years of experience developing computer vision algorithms for detection, tracking, or sensorbased analytics in remote sensing or GEOINTrelevant environments

  • 1+ years of experience applying deep learning to CV problems using transformerbased, selfsupervised, or contrastive learning architectures, such as DINO, CLIP, or SAM

  • Experience building pipelines in Python or C++ for algorithm development, training, evaluation, or deployment

  • Experience with GPUaccelerated workflows

  • Experience with classical tracking and estimation methods, such as Kalman or extended Kalman filters, supporting realtime development needs

  • Active TS/SCI clearance; willingness to take a polygraph exam

  • Bachelor's degreein a STEM field

Nice If You Have:

  • Experiencein GPU programming, including CUDA or RAPIDs

  • Experiencewithdeveloping synthetic modeling of Kinematic target features

  • Experience with AIaugmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approach

  • Knowledgeof modernsoftware design patterns, including micro-service design and orchestration in Kubernetes deployment

  • Master's degreein Computer Science, Electrical Engineering, Computer Engineering, AI, ML, Physics, Mathematics or a related field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,300.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914