ZipRecruiter

Log In

1

Computer Vision Jobs in Pennsylvania (NOW HIRING)

Mintex Technology

Founding AI Engineer

Philadelphia, PA · On-site

$180K/yr

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 ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

They are seeking a Director of Machine Learning to define the ML strategy, lead the computer vision organization, and enhance the company's ML capabilities to support their vision-powered platform.

AEG

Research Engineer (AI + Sports)

Pittsburgh, PA · On-site

You'll work at the cutting edge of computer vision and machine learning applied to sports, collaborating with leading academic researchers at Carnegie Mellon University while taking your innovations ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

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

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

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

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

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

Waabi

Senior / Staff Perception Engineer

Pittsburgh, PA · On-site

$158K - $269K/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 ...

Waabi

Senior / Staff Perception Engineer

Pittsburgh, PA · On-site

$158K - $269K/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 ...

Abel Personnel

Computer Operator

Harrisburg, PA · On-site

$22.50/hr

Computer Operator I Location: Harrisburg, PA Pay: $22.50/hour Schedule: Sunday-Tuesday and every ... Medical, dental, and vision insurance * 401(k) eligibility after required waiting period Ideal ...

TekSynap

Computer Operator

New Cumberland, PA · On-site

$42K - $50K/yr

Ability to operate, under supervision, communications-computer systems, and insall, implement ... We offer our full-time employees a competitive benefits package to include health, dental, vision ...

TekSynap

Computer Operator

New Cumberland, PA · On-site

$42K - $50K/yr

Ability to operate, under supervision, communications-computer systems, and insall, implement ... We offer our full-time employees a competitive benefits package to include health, dental, vision ...

previous pagenext page

Showing results 21-40

All JobsComputer Vision JobsComputer Vision Jobs in Pennsylvania

Computer Vision information

See Pennsylvania salary details

$33.6K

$48.4K

$63.7K

How much do computer vision jobs pay per year?

As of Sep 10, 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 computer vision?

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 does a computer vision professional do?

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.

What are the key skills and qualifications needed to thrive in computer vision?

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.

Is computer vision a good career?

Computer vision is a growing field within artificial intelligence that involves developing algorithms to interpret visual data. It offers opportunities in industries such as healthcare, automotive, and security, often requiring skills in programming, machine learning, and image processing. Job prospects are strong, with demand for specialists who can work with tools like OpenCV and deep learning frameworks.

What are computer vision jobs?

Computer vision jobs involve developing algorithms and systems that enable computers to interpret and analyze visual data such as images and videos. Roles often require skills in machine learning, programming languages like Python or C++, and familiarity with tools like OpenCV or deep learning frameworks. These jobs are common in industries like robotics, healthcare, automotive, and security, and may require a background in computer science or engineering.

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 job categories do people searching Computer Vision jobs in Pennsylvania look for?

The top searched job categories for Computer Vision jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Computer Vision jobs?

Cities in Pennsylvania with the most Computer Vision job openings:

Computer Vision jobs near you
Infographic showing various Computer Vision job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $48,414 per year, or $23.3 per hour.

Founding AI Engineer

Philadelphia, PA • On-site

Mintex Technology
See more jobs at Mintex Technologyexternal

$180K/yr

Full-time

Re-posted 12 days ago

Job description

Title: Founding AI / ML Engineer  
Location: Philadelphia, PA (Hybrid -3 days) - Remote
Employment Type: Full-Time
Salary: $180K + equity
 
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.
 
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 (2–3) 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.