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Image Segmentation Jobs in Pennsylvania (NOW HIRING)

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

... 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 ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

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 ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

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 ...

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All JobsImage Segmentation JobsImage Segmentation Jobs in Pennsylvania

Image Segmentation information

See Pennsylvania salary details

$19

$43

$70

How much do image segmentation jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for image segmentation in Pennsylvania is $43.71, according to ZipRecruiter salary data. Most workers in this role earn between $33.99 and $50.87 per hour, depending on experience, location, and employer.

What is an image segmentation?

An Image Segmentation job involves developing algorithms and models to partition digital images into meaningful regions or objects. Professionals in this role often work with computer vision, deep learning, and artificial intelligence to improve image analysis. Tasks may include data annotation, training machine learning models, and optimizing segmentation accuracy for applications like medical imaging, autonomous vehicles, and industrial automation. Strong programming skills in Python and experience with frameworks like TensorFlow or OpenCV are typically required.

What are the key skills and qualifications needed to thrive in image segmentation, and why are they important?

To excel in Image Segmentation, you need a solid background in computer vision, machine learning, and data annotation, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, OpenCV, TensorFlow, and specialized annotation software is typically required. Attention to detail, collaborative mindset, and effective communication are important soft skills in this position. Mastering these abilities ensures precise segmentation work, efficient teamwork, and contributions to projects in fields such as healthcare, autonomous driving, and digital imaging.

What are the common challenges faced in an image segmentation role?

Professionals in image segmentation often encounter challenges such as dealing with low-quality or ambiguous images, managing large datasets, and ensuring consistency in labeling across various data sources. Staying up to date with rapidly evolving algorithms and tools in computer vision is also important for maintaining best practices. Effective communication with data scientists, engineers, and project managers is key for understanding project requirements and delivering high-quality segmentation results. Overcoming these challenges not only helps produce more accurate models but also contributes to personal skill growth and deeper team collaboration.

What are the most commonly searched types of Image Segmentation jobs in Pennsylvania?

The most popular types of Image Segmentation jobs in Pennsylvania are:

What are popular job titles related to Image Segmentation jobs in Pennsylvania?

For Image Segmentation jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Image Segmentation jobs in Pennsylvania look for?

The top searched job categories for Image Segmentation jobs in Pennsylvania are:

Image Segmentation jobs near you
Infographic showing various Image Segmentation job openings in Pennsylvania as of August 2026, with employment types broken down into 65% Full Time, 26% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,919 per year, or $43.7 per hour.

Director of Machine Learning

Gather AI

Pittsburgh, PA • On-site

Full-time

Re-posted 22 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.

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