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Mobile Machine Learning Jobs in Pennsylvania (NOW HIRING)

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 ...

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 ...

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Do you have the ability to transform an organization through the latest social, mobile, and ...

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Do you have the ability to transform an organization through the latest social, mobile, and ...

... 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 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 cities in Pennsylvania are hiring for Mobile Machine Learning jobs? Cities in Pennsylvania with the most Mobile Machine Learning job openings:

Senior Android Developer (Java/Kotlin & REST) | $120-150K | Exciting IT Consulting Firm

Chariot Solutions

Fort Washington, PA • Remote

$55.75 - $70.75/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago


Job description

Company Description

***YOU MUST BE A CITIZEN OF THE UNITED STATES, HAVE YOUR GREEN CARD OR LONG TERM VISA TO APPLY TO THIS POSITION. You can Work Remotely anywhere in the United States for this position but the Greater Philadelphia Area is ideal. We are currently 100% remote, but when businesses open back up there may be occasional travel for meetings.***

Chariot Solutions has 18+ years of experience solving challenging business problems with technology and is a top IT consulting firm specializing in software, mobile, cloud and data pipeline engineering. Our team includes many of the top software architects in the Philly area, with deep technical expertise, industry knowledge and a genuine passion to help your organization be on the forefront of digital transformation.

Our Client Specializes in:

  • Software Development - Quality is something we never compromise on - from the user experience, to the code, we craft solutions using best practices including agile development and automated testing, leaving you with a solid foundation to achieve success, growth and ROI.

  • Mobile Development - Our iOS and Android engineers and designers are passionate about creating the ultimate user experience for you and your customers. That's why we focus on usability and performance to design, build, and deliver best-in-class mobile applications.

  • Cloud Development - Find out what AWS cloud computing can do for your business. It takes an expert to guide you through the cloud journey. Understand the hidden challenges of developing software in the cloud.

  • Data Pipeline Engineering - Support your Business Intelligence, Machine Learning and AI initiatives with innovative, production ready, Data Engineering and Data Pipeline Optimization strategies powered by tools such as Apache Airflow, AWS Redshift and Lambda. 

Job Description

We are looking for a senior Android Developer with practical development experience, drive, and who has great experience with all aspects of native mobile application development.

  • Contribute to the design and development of new features.
  • Design, build and maintain high performance Android applications.
  • Use the latest tools and frameworks for native Android development.
  • Writing and troubleshooting code in a multi-threaded environment.
  • Apply pertinent design patterns to mobile application architectures.
  • Work with data persistence on the device.
Qualifications
  • You MUST have 5+ years of experience with Java/Kotlin and REST/Web Services using JSON, XML.

  • Significant experience with all aspects of native mobile application development on Android (Kotlin/Java).

  • Experience with developing software that communicates with back-end servers via REST/Web Services using JSON, XML.
  • Has used one or more tools from the Android Jetpack Suite.

  • Ability to clearly articulate complex issues and technologies.

  • Excellent problem-solving, communication and analytical skills.

  • Bonus points for: AWS experience
Additional Information

Benefits

  • Benefits for a single subscriber > $30K; family > $40K.

  • Cover full cost (no premium, no deductible) to employees and their dependents health care, dental and vision.

  • Top of the line MacBook Pro or equivalent.

  • Short and long term disability.

  • 401K retirement plan.

  • Flexible spending account.

  • Subsidized gym membership.

  • Company stock (stock is given out to all new employees on Jan 1st following your first year anniversary with us. The company stock vests over 3 years at no commitment to you. More details are provided at the interview with CEO).