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Mobile Machine Learning Jobs in Pennsylvania (NOW HIRING)

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 ... mobile/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 ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

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 ...

LMI

ATAK Developer - Clearance Required

Pittsburgh, PA · On-site

Experience implementing machine learning models for edge devices (e.g., TensorFlow Lite, ONNX Runtime, or PyTorch Mobile) * Familiarity with Distributed Deep Learning (DDL) techniques and frameworks ...

Burro

Senior Robotics AI Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

... machine learning systems. Responsibilities : • Own the development and productionization of ML ... Burros are the category-defining autonomous mobile robot for outdoor automation alongside people in ...

American Wire Group

Machine Operator

York, PA · On-site

$16.75 - $20/hr

Ambition: will ask questions, will take notes, and will show interest in learning new things, once ... Microsoft products * Ability to lift 50 lbs. or more; the ability to stand, be mobile and ...

Bucks IU

Mobile Fab Lab Coordinator

Warminster, PA · On-site

The Mobile Fab Lab brings innovative STEAM and computer science learning to students in grades 1-8 ... Machines, Vinyl Cutters, Electronics equipment, as well as manufacturing/ industrial and rapid ...

Ross Technology Corporation

Machine Operator

Leola, PA · On-site

$19.50/hr

... to stand, be mobile and physically able to handle and transport materials during 8-hour shift ... learning new things once tasks assigned have been mastered. * Ability to read and understand ...

Tata Consultancy Services

... humanoid robots, mobile robots, and OEM robotic arms with different grippers. Write clean ... of machine learning applications in robotics Experience with hardware interfaces or embedded ...

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Mobile Machine Learning information

What are the key skills and qualifications needed to thrive as a mobile machine learning engineer, and why are they important?

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

What are some common challenges faced by mobile machine learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.
What are the most commonly searched types of Machine Learning jobs in Pennsylvania? The most popular types of Machine Learning jobs in Pennsylvania are:
What are popular job titles related to Mobile Machine Learning jobs in Pennsylvania? For Mobile Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Pennsylvania look for? The top searched job categories for Mobile Machine Learning jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Mobile Machine Learning jobs? Cities in Pennsylvania with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you

Director of Machine Learning

Gather AI

Pittsburgh, PA • On-site

Full-time

Re-posted 5 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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