ZipRecruiter

Log In

1

Mobile Machine Learning Jobs in Philadelphia, PA

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 ...

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 ...

Hirekeyz Inc

Mainframe IMS DB Developer

Wilmington, DE · On-site

$47.50 - $61.25/hr

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) * Experience using DevOps ...

Burro

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 ...

Deloitte

Oracle Gen AI Manager

Philadelphia, PA

... 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 ...

next page

Showing results 1-20

All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Philadelphia, PA

Mobile Machine Learning information

See Philadelphia, PA salary details

$12

$25

$120

How much do mobile machine learning jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for mobile machine learning in Philadelphia, PA is $25.55, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $20.38 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized knowledge, and may be found in large tech companies or research institutions.

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.

Will MLE be replaced by AI?

Mobile Machine Learning Engineers (MLEs) develop and optimize machine learning models for mobile devices. While AI technologies continue to advance, MLEs focus on implementing efficient, lightweight models suitable for mobile hardware, and their role is expected to evolve rather than be fully replaced by AI itself. Skills in model optimization, deployment, and understanding mobile constraints remain essential for MLEs.

What engineer makes $500,000 a year?

Senior machine learning engineers, including those working on mobile applications, can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning and AI, and roles in high-paying industries or companies. Achieving this level often requires advanced degrees, specialized expertise, and leadership responsibilities.

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.

Which 3 jobs will survive AI?

Mobile Machine Learning professionals, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require specialized skills in programming, statistics, and domain knowledge, making them less susceptible to automation. Continuous learning and staying updated with AI tools and frameworks are essential for long-term job security in this field.

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 Philadelphia, PA? The most popular types of Machine Learning jobs in Philadelphia, PA are:
What are popular job titles related to Mobile Machine Learning jobs in Philadelphia, PA? For Mobile Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Philadelphia, PA look for? The top searched job categories for Mobile Machine Learning jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Mobile Machine Learning jobs? Cities near Philadelphia, PA with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you
Software Engineering - Full Stack Developer - Intermediate

Software Engineering - Full Stack Developer - Intermediate

Ampcus Inc

Wilmington, DE • On-site

Other

Posted 5 days ago

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Software Engineering - Full Stack Developer - Intermediate

Location(s): Wilmington, DE (Onsite)

Duration: Contract to Hire

Job Summary:

As a Software Engineer within Enterprise Technology, you serve as a seasoned member of an agile team to design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives, leveraging artificial intelligence (AI) and machine learning (ML) where appropriate to enhance product capabilities and efficiency.

Key Responsibilities:
  • Develop and maintain full-stack applications using React for front-end and Java for the backend.
  • Utilize AI and ML to enhance product capabilities and efficiency.
  • Ensure the stability and scalability of technology solutions.
  • Work collaboratively in an agile team environment.
Required Qualifications:
  • Formal training or certification on software engineering concepts and 3 years of applied experience.
  • Proficiency in coding with the Java programming language.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Proficient in coding in one or more languages, including React, JavaScript, Typescript, HTML, CSS, etc.
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
  • Overall knowledge of the Software Development Life Cycle.
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Development and Deployment experience using AWS VPC, Subnet, SG, Lambda, EC2, RDS, Route, Content Delivery, KMS, and S3.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.

Ampcus logo

About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004

View All Ampcus Jobs

Apply