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Embedded Machine Learning Jobs in Pittsburgh, PA

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 ... embedded inference) • Familiarity with warehouse, logistics, or supply chain domain • ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference) * Familiarity with ...

HELLBENDER Inc.

Perception Engineer

Pittsburgh, PA · Hybrid

Experience deploying machine learning models on embedded platforms, such as NVIDIA Jetson or Hailo TPUs, is highly preferred Job Type: Full-time Benefits: * 401(k) * 5% Safe Harbor Contribution to ...

HELLBENDER Inc.

Perception Engineer

Pittsburgh, PA · Hybrid

Experience deploying machine learning models on embedded platforms, such as NVIDIA Jetson or Hailo TPUs, is highly preferred Job Type: Full-time Benefits: * 401(k) * 5% Safe Harbor Contribution to ...

HELLBENDER Inc.

Perception Engineer

Pittsburgh, PA · On-site

Experience deploying machine learning models on embedded platforms, such as NVIDIA Jetson or Hailo TPUs, is highly preferred Job Type: Full-time Benefits: * 401(k) * 5% Safe Harbor Contribution to ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Jobs in Pittsburgh, PA

Embedded Machine Learning information

See Pittsburgh, PA salary details

$68K

$148.9K

$168.9K

How much do embedded machine learning jobs pay per year?

As of Jul 29, 2026, the average yearly pay for embedded machine learning in Pittsburgh, PA is $148,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $168,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What is an Embedded Machine Learning job?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in the Embedded Machine Learning position, and why are they important?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are the most commonly searched types of Embedded Machine Learning jobs in Pittsburgh, PA? The most popular types of Embedded Machine Learning jobs in Pittsburgh, PA are:
What are popular job titles related to Embedded Machine Learning jobs in Pittsburgh, PA? For Embedded Machine Learning jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning jobs in Pittsburgh, PA look for? The top searched job categories for Embedded Machine Learning jobs in Pittsburgh, PA are:
Embedded Machine Learning jobs near you
Infographic showing various Embedded Machine Learning job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $148,907 per year, or $71.6 per hour.

Director of Machine Learning

Gather AI

Pittsburgh, PA • On-site

Full-time

Re-posted 28 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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