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Computer Vision Jobs in Pennsylvania (NOW HIRING)

Approximately half of the role focuses on computer vision, including segmentation models (SAM-level work, ideally with deep 2D segmentation expertise), classifiers, and object detection for floor ...

Technical Program Manager

Exton, PA

$124K - $161K/yr

Key Responsibilities Program Ownership & Execution Own endtoend delivery of computer vision programs, from requirements definition through edge deployment and production rollout Break down complex CV ...

The ideal candidate brings deep computer vision expertise, a track record of shipping production ML systems, and the leadership experience to build and scale a world-class ML team. What You'll Do

The ideal candidate brings deep computer vision expertise, a track record of shipping production ML systems, and the leadership experience to build and scale a world-class ML team. What You'll Do

Technical Program Manager

Exton, PA ยท On-site

$124K - $161K/yr

Key Responsibilities Program Ownership & Execution Own end-to-end delivery of computer vision programs, from requirements definition through edge deployment and production rollout Break down complex ...

Develop and optimize computer vision and machine learning algorithms for object detection, classification, tracking, and scene understanding in varied and dynamic environments * Utilize data from a ...

Develop and optimize computer vision and machine learning algorithms for object detection, classification, tracking, and scene understanding in varied and dynamic environments * Utilize data from a ...

Develop and optimize computer vision and machine learning algorithms for object detection, classification, tracking, and scene understanding in varied and dynamic environments * Utilize data from a ...

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Research Engineer

Pittsburgh, PA ยท On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Research Engineer

Pittsburgh, PA ยท On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

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Computer Vision information

See Pennsylvania salary details

$33.6K

$48.4K

$63.7K

How much do computer vision jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer vision in Pennsylvania is $48,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $55,600.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms.

What is a Computer Vision job?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What are some typical projects or tasks a Computer Vision professional might work on?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications in areas like autonomous vehicles, healthcare, and security. Demand for skilled professionals with expertise in deep learning, image processing, and relevant tools remains strong, making it a viable career choice.

What engineer makes $500,000 a year?

Senior computer vision engineers working in high-paying industries such as technology, autonomous vehicles, or defense can earn salaries approaching or exceeding $500,000 annually, especially with extensive experience, specialized skills in deep learning and image processing, and often including bonuses or stock options. Such compensation typically requires advanced degrees, strong technical expertise, and leadership responsibilities.

What jobs are there in computer vision?

Jobs in computer vision include roles such as computer vision engineer, research scientist, machine learning engineer, and data scientist. These positions typically require skills in programming, image processing, and deep learning frameworks like TensorFlow or PyTorch, and may involve developing algorithms for object detection, facial recognition, or autonomous systems.

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

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

What are the most commonly searched types of Computer Vision jobs in Pennsylvania? The most popular types of Computer Vision jobs in Pennsylvania are:
What are popular job titles related to Computer Vision jobs in Pennsylvania? For Computer Vision jobs in Pennsylvania, the most frequently searched job titles are:
What cities in Pennsylvania are hiring for Computer Vision jobs? Cities in Pennsylvania with the most Computer Vision job openings:
Infographic showing various Computer Vision job openings in Pennsylvania as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $48,414 per year, or $23.3 per hour.

Founding AI Engineer

Mintex Technology

Philadelphia, PA โ€ข On-site

$180K/yr

Full-time

Posted 14 days ago


Job description

Title:ย Founding AI / ML Engineerย ย 
Location:ย Philadelphia, PAย (Hybrid -3 days) - Remote
Employment Type:ย Full-Time
Salary:ย $180K + equity
ย 
About Company:
******** is building the AI-powered workflow layer for construction, one of the world's largest industries.
Headquartered in Philadelphia with a remote-first team and a newly opened Philadelphia hub, Company has recently closed a seed funding round (term sheets signed, announcement pending). The company has approximately $2M ARR on its core product and plans to grow revenue 10x over the next 12 months.
The team includes a Chief AI Officer, seven engineers (two AI/ML engineers and five full-stack engineers), and a founding team working directly alongside customers to build and refine the platform.
Construction has resisted previous attempts at automation for more than 15 years. Subcontractors the company's core customers have seen little meaningful software innovation during that time. Agents and multimodal AI present the first significant opportunity to transform the industry. Because construction diagrams and floor plans are not well represented in the training data of existing foundation models, team is making a core technical investment in training its own models.
ย 
About the Role:
  • Guthrie AI is hiring a Founding AI / ML Engineer with deep expertise in Computer Vision to lead model development for the platform.
  • Construction diagrams and floor plans are not included in the training data of off-the-shelf foundation models, making in-house model development a critical part of the company's technical strategy. This role will own that initiative.
  • Approximately half of the role focuses on computer vision, including segmentation models (SAM-level work, ideally with deep 2D segmentation expertise), classifiers, and object detection for floor plans and technical drawings. The emphasis is on architectural improvements and model development rather than simple fine-tuning.
  • The remaining portion of the role focuses on agentic orchestration and retrieval, including LLMs, fine-tuning small language models, RAG, and evaluating local versus foundation model trade-offs.
  • This position reports directly to the Chief AI Officer. The existing AI/ML engineers (2โ€“3) will report to this individual, making technical leadership and onsite collaboration highly valuable.
Key Responsibilities:
  • Train and improve in-house computer vision models for construction diagrams, including segmentation, object detection, and classifiers.
  • Lead model architecture development and improvements where off-the-shelf foundation models reach their limitations.
  • Own the AI/ML model development roadmap and establish the technical direction for the AI/ML team.
  • Build agentic orchestration and retrieval workflows, including RAG pipelines, fine-tuning, local versus foundation model selection, and cost optimization.
  • Provide technical leadership and guidance to the existing AI/ML engineering team.
Requirements :
Must-Have:
  • Deep expertise in computer vision with demonstrated experience in 2D segmentation. Experience with foundation models such as SAM, SAM3, or comparable models, with the ability to make architectural improvements beyond fine-tuning.
  • Strong proficiency in Python, PyTorch, and CUDA, with experience shipping production-grade ML systems or a rigorous publication record in computer vision research.
  • Proven ability to train and improve in-house models from scratch when off-the-shelf models are insufficient.
  • Strong research background, with a publication record in computer vision preferred. Both research-focused candidates who remain hands-on and applied production computer vision engineers are encouraged to apply.
  • Willingness to work onsite at the Philadelphia hub three days per week (flexibility available for exceptional candidates).
Nice-to-Have:
  • Experience working with construction diagrams, floor plans, technical drawings, or architectural computer vision.
  • Experience with agentic orchestration and retrieval, including LLMs, RAG, fine-tuning, small language models, and local versus foundation model trade-offs.
  • Experience with object detection and classical classifiers.
  • Published research in raster-to-sequence models, floor plan localization, structural priors, or related computer vision subfields.
  • Previous technical leadership experience, including mentoring or managing AI/ML engineers.