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Computer Vision Engineer Jobs in Pittsburgh, PA (NOW HIRING)

Required : • 10+ years building and scaling production ML or computer vision systems • 5+ years managing and growing ML engineering teams • Deep expertise in computer vision: object detection ...

... ML or computer vision systems * 5+ years managing and growing ML engineering teams * Deep expertise in computer vision: object detection, image segmentation, OCR, and CNN architectures * Strong ...

... ML or computer vision systems * 5+ years managing and growing ML engineering teams * Deep expertise in computer vision: object detection, image segmentation, OCR, and CNN architectures * Strong ...

... ML or computer vision systems * 5+ years managing and growing ML engineering teams * Deep expertise in computer vision: object detection, image segmentation, OCR, and CNN architectures * Strong ...

... ML or computer vision systems * 5+ years managing and growing ML engineering teams * Deep expertise in computer vision: object detection, image segmentation, OCR, and CNN architectures * Strong ...

Research Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Position Overview We are hiring Research Engineers to develop scalable robotic systems aimed at ... computer vision. * Experience working with robot systems and large-scale model training. Base ...

AI or ML Engineer

Saxonburg, PA · On-site

$104K - $125K/yr

Paid time off About the Role Triunity Software is looking for a talented and driven AI Engineer to ... Experience with NLP, computer vision, or generative AI is a strong plus * Familiarity with cloud ...

Robotics Software Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

... computer vision, or manipulation. * Experience with ROS/ROS2 or other robotics middleware platforms. * Deep understanding and practical experience with software engineering principles, including ...

Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields. * Strong background in training and fine-tuning large models in an applied setting.

Showing results 21-40

Computer Vision Engineer information

See Pittsburgh, PA salary details

$47.1K

$118K

$133.5K

How much do computer vision engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for computer vision engineer in Pittsburgh, PA is $117,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $127,700.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the most commonly searched types of Computer Vision Engineer jobs in Pittsburgh, PA?

The most popular types of Computer Vision Engineer jobs in Pittsburgh, PA are:

What are popular job titles related to Computer Vision Engineer jobs in Pittsburgh, PA?

For Computer Vision Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Computer Vision Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Computer Vision Engineer jobs?

Cities near Pittsburgh, PA with the most Computer Vision Engineer job openings:

Infographic showing various Computer Vision Engineer job openings in Pittsburgh, PA as of September 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $117,969 per year, or $56.7 per hour.

Director of Machine Learning

Pittsburgh, PA • On-site

Gather AI
Industrial Automation Equipment Manufacturing • 11 - 50 employees

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Gather AI is pioneering a new era of warehouse intelligence with innovative software that utilizes autonomous drones for real-time data capture. 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.
Responsibilities:
• Define and own the ML strategy and technical roadmap for Gather AI, aligned with product and business objectives
• Lead and grow the Machine Learning and FPT teams, establishing a culture of rigor, experimentation, and production-quality delivery
• Drive improvements to core computer vision models (object detection, segmentation, OCR) used across our drone and MHE Vision products
• Build out MLOps infrastructure — model training pipelines, deployment, monitoring, and CI/CD for ML workloads
• Collaborate with the Director of Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the broader platform
• Partner with Product and Operations to translate customer needs into ML-driven product capabilities
Qualifications:
Required:
• 10+ years building and scaling production ML or computer vision systems
• 5+ years managing and growing ML engineering teams
• Deep expertise in computer vision: object detection, image segmentation, OCR, and CNN architectures
• Strong Python and PyTorch (or TensorFlow) proficiency, plus a track record of shipping ML models to production at scale
• MS or PhD in Computer Science, Machine Learning, or a related field (strong industry track record considered in lieu of advanced degree)
Preferred:
• Experience with drone, robotics, or autonomous systems perception
• Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference)
• Familiarity with warehouse, logistics, or supply chain domain
• Experience with AWS or GCP ML services (SageMaker, Vertex AI)
Company:
We deliver the foundational intelligence layer for the intralogistics industry. Founded in 2017, the company is headquartered in Pittsburgh, USA, with a team of 51-200 employees. The company is currently Growth Stage.