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Mobile Machine Learning Jobs in Pennsylvania (NOW HIRING)

... 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 ...

Senior Robotics AI Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

... software for robotics and machine learning. • Strong proficiency in Python and C++. • ... Burros are the category-defining autonomous mobile robot for outdoor automation alongside people in ...

Senior iOS Engineer

Pittsburgh, PA · On-site

$135K/yr

You'll work cross functionally with product, design, data science, machine learning, and ad ... Strong technical knowledge of iOS mobile application development for iPhone/iPad using Swift with ...

... Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world ... the AI and Machine Learning revolution. Our team is growing to support this high growth ...

Showing results 21-40

Mobile Machine Learning information

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 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 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 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 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 cities in Pennsylvania are hiring for Mobile Machine Learning jobs?

Cities in Pennsylvania with the most Mobile Machine Learning job openings:

Robotics Programming & Testing Intern

Tata Consultancy Services

Pittsburgh, PA

Full-time

Re-posted 13 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

176th of 226 rated it services


Job description

Join our innovative robotics team at TCS Medical Robotics Center, TCS Hall on Carnegie Mellon University’s Pittsburgh campus as an intern, contributing to the programming and testing of advanced robotic platforms, with a focus on medical robotics applications. This 3-month internship offers hands-on experience with innovative technology in a collaborative, research-driven environment.

Key Responsibilities

Programming & Development

Develop software for robotic platforms, including Misty II social robots, Unitree U6 humanoid robots, mobile robots, and OEM robotic arms with different grippers.

Write clean, efficient code in Python, C++, or other relevant languages.

Implement algorithms for robot control, navigation, and manipulation, with applications in medical robotics.

Integrate sensors, actuators, and control systems for medical and assistive robotic systems.

Testing & Validation

Design and execute rigorous testing protocols for robotic systems and software.

Conduct functionality, performance, and safety tests, emphasizing medical robotics standards.

Document results, troubleshoot issues, and collaboration on solutions.

Perform field tests to validate performance in real-world medical scenarios.

ROS Development

Build and maintain ROS (Robot Operating System) packages and nodes.

Create custom message types, services, and action servers for robotics applications.

Implement navigation, perception, and manipulation functionalities in ROS.

Debug and optimize ROS-based applications for medical robotics.

Required Qualifications

Technical Skills

Proficiency in Python and C++ programming

Experience with ROS (Robot Operating System)

Knowledge of robotics fundamentals (kinematics, control systems, sensor integration)

Familiarity with Linux/Ubuntu and version control (Git)

Understanding of software development best practices

Educational Background

Pursuing a degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.

Coursework in robotics, programming, or automation systems

Preferred Qualifications

Exposure to medical robotics or assistive technologies

Experience with robotic platforms (e.g., mobile robots, manipulators, or humanoid systems)

Familiarity with computer vision libraries (e.g., OpenCV, PCL)

Knowledge of simulation tools (e.g., Gazebo, Coppelia Sim)

Understanding of machine learning applications in robotics

Experience with hardware interfaces or embedded systems programming

Personal Attributes

Strong analytical and problem-solving skills

Attention to detail and commitment to accuracy in robotics applications.

Excellent communication skills for interdisciplinary collaboration

Interest in healthcare innovation and improving patient outcomes.


What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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