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Senior Computer Vision Jobs in Ohio (NOW HIRING)

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build ... Your work will leverage deep experience with MLbased NLP, LLMs and generative AI, computer vision ...

AI/ML Engineer, Senior

Dayton, OH · On-site

$99K - $225K/yr

As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build ... Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ...

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build ... Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ...

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 ...

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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:
Senior Computer Vision Software Engineer

Senior Computer Vision Software Engineer

Booz Allen Hamilton

Dayton, OH • On-site

$119K - $157K/yr

Other

Medical, Life, Retirement, PTO

Posted 3 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 57 rated business consultants


Job description

Job Number: R0242681
Computer Vision Software Engineer, Senior
The Opportunity:
As a Senior Computer Vision Engineer, you will design, develop , and optimize advanced computer vision and multi-sensor fusion algorithms supporting GEOINT-mission workflows. You will lead the develop ment of deep learning models, real-time tracking systems, and GPU-accelerated pipelines deployed in operational environments. You will shape next-generation tools that integrate imaging physics, ML-based behavior inference, and multi-sensor fusion.
You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, user-centric tools that accelerate mission outcomes.
What You'll Work On:
  • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking
  • Collaborate with multidisciplinary teams to design, develop , test, and deploy technical solutions in Python or C++
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications
  • Contribute to the architecture and implementation of novel single and multi-sensor detection and tracking and fusion of targets

Join us. The world can't wait.
You Have:
  • 6+ years of experience develop ing computer vision algorithms for detection, tracking, or multi-sensor fusion in remote sensing or GEOINT- relevant environments
  • 2+ years of experience applying deep learning to computer vision problems using transformer-based or self-supervised architectures
  • Experience implementing model pipelines in Python or C++, including training, evaluation, and deployment workflows
  • Knowledge of GPU-accelerated develop ment using CUDA, RAPIDS, or GPU programming frameworks
  • Experience with administration of continuous integration / continuous deployment ( CI / CD ) pipelines using Kubernetes, Docker, or Jenkins
  • Experience with Agile met hodology, extreme programming, sof tware engineering, product management, and sof tware products, and with acquiring client requirements and resolving workflow problems through automation optimization
  • Knowledge of classical tracking or estimation met hods, such as Kalman or extended filters, to support real-time algorithm develop ment
  • Ability to design, test, and optimize algorithms for operational performance in constrained computing environments such as multi-GPU servers or cloud
  • TS/SCI clearance
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with GPU-accelerated deep learning, including CUDA kernel develop ment, TensorRT optimization, RAPIDS, or distributed multi-GPU training
  • Experience develop ing synthetic data, kinematic target models, or scenario simulation tools to support algorithm training or evaluation
  • Experience with advanced estimation, tracking, and fusion techniques such as joint multi-sensor registration, Bayesian fusion, particle filters, or deep multi-object tracking pipelines
  • Knowledge of geospatial data formats, sensor phenomenology, or remote -sensing exploitation workflows
  • Experience with MLOps or scalable deployment systems, including Docker, Kubernetes, ONNX Runtime, Triton Inference Server, or similar
  • Experience building or optimizing microservice architectures or distributed systems for real-time data processing
  • Experience integrating CV models into edge, embedded, or latency-constrained operational environments
  • Experience with transformer-based vision architectures beyond DINO / CLIP / SAM such as ViT variants or self-supervised multi-modal encoders
  • Experience with cloud ML platforms such as AWS GovCloud, Azure ML, or on-premesis GPU clusters
  • Master's degree in Computer Science, Electrical Engineering, Computer Engineering, AI / ML, Physics, Mathematics or other related field preferred ; Doctorate degree in Computer Science, Electrical Engineering, Computer Engineering, AI / ML, Physics, Mathematics or other related field a plus

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 $112,800.00 to $257,000.00 (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