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Mobile Machine Learning Jobs in Philadelphia, PA

Redolent, Inc.

AI/ML Engineer

Pennington, NJ · On-site

... web, mobile, and voice experiences * Design, engineer, and curate training and validation datasets to support machine learning pipelines for intent classification, speech recognition, and ...

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 ...

Ampcus Inc

Java Full Stack Developers

Wilmington, DE · On-site

$51 - $65.75/hr

... machine learning, mobile, etc.) • Familiarity with modern front-end technologies. • Exposure to cloud technologies. Preferred : • Specific attributes such as AWS, Cassandra, Kafka, REST ...

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 ...

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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 Aug 29, 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 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 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

AI/ML Engineer

Pennington, NJ • On-site

Redolent, Inc.
IT Services • 51 - 200 employees
Learn more about Redolent, Inc.external

Contractor

Posted 8 days ago

Job description

Seeking a Cognitive Linguist - Onsite for a contract position located in Charlotte, NC, Pennington, NJ, or Plano, TX. This is a 12+ month contract opportunity.
The successful candidate will be responsible for architecting, developing, and maintaining machine learning models and NLU frameworks that identify end-user intent across a multi-channel Virtual Assistant platform. This role focuses on designing scalable conversational AI solutions, optimizing model performance, and ensuring the underlying intent recognition architecture effectively supports web, mobile, and voice-based experiences.
Responsibilities:
  • Architect and maintain the NLU intent framework across enterprise domains (e.g., Technology, Human Resources), ensuring alignment with conversational solution design patterns for web, mobile, and voice experiences
  • Design, engineer, and curate training and validation datasets to support machine learning pipelines for intent classification, speech recognition, and conversational AI performance optimization
  • Develop and maintain model evaluation frameworks, telemetry pipelines, and observability tools to measure accuracy, reliability, and operational performance, enabling data-driven model tuning throughout the development lifecycle
  • Design scalable disambiguation, fallback, and error-handling architectures that improve resilience and user experience as virtual assistant capabilities expand across domains and channels
  • Analyze conversational telemetry, interaction flows, and runtime performance metrics to identify gaps, root causes, and optimization opportunities, implementing architectural improvements that enhance system effectiveness
  • Partner with data scientists, product owners, UX researchers, and software engineers to design, build, and evolve the cognitive architecture and decisioning framework that powers the virtual assistant ecosystem

Requirements:
  • Proven experience architecting and maintaining NLU intent frameworks
  • Experience designing and curating datasets for machine learning pipelines
  • Ability to develop model evaluation frameworks and telemetry pipelines
  • Knowledge of designing scalable error-handling architectures for virtual assistants
  • Experience with Microsoft Office, including Excel
Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

Social media

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