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Mobile Machine Learning Jobs in Maryland (NOW HIRING)

RMA Worldwide

Mobile Mechanic

Rockville, MD · On-site

$40/hr

Embarking on a career at RMA means embarking on continuous learning and growth. Whether you're ... Conduct inspections of diesel machinery and vehicles to detect signs of possible deterioration,

Cymertek

Software Engineer

Annapolis Junction, MD · On-site

... Mobile Application Developer, Embedded Software Engineer, Cloud Software Engineer, DevOps Engineer, QA Engineer, Test Automation Engineer, Game Developer, Data Engineer, Machine Learning Engineer, AI ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Maryland

Mobile Machine Learning information

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 Maryland? The most popular types of Machine Learning jobs in Maryland are:
What are popular job titles related to Mobile Machine Learning jobs in Maryland? For Mobile Machine Learning jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Maryland look for? The top searched job categories for Mobile Machine Learning jobs in Maryland are:
What cities in Maryland are hiring for Mobile Machine Learning jobs? Cities in Maryland with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you

Senior Full-Stack AI Application Engineer - iOS & VisionOS Emphasis

AST SpaceMobile

Lanham, MD

$140K/yr

Other

Re-posted 23 days ago

Job description

Position Overview

We are seeking a Senior FullStack AI Application Engineer with strong expertise in native iOS and VisionOS development to design and deliver advanced AIpowered mobile and spatial computing applications. This role focuses on building intuitive, highperformance user experiences that leverage computer vision, machine learning, and immersive 3D interfaces to support engineering, manufacturing, and operational workflows.

You will own the application layer endtoend while collaborating closely with crossfunctional teams to ensure seamless integration across mobile, spatial, and web platforms.

Key Responsibilities

  • Design, develop, and maintain native iOS (Swift/SwiftUI) and VisionOS applications for AIenabled tools and operational workflows
  • Develop immersive experiences on spatial and extended reality platforms for visualization, guided workflows, and interactive 3D environments
  • Implement ondevice machine learning inference for realtime analysis and visualization using mobile hardware capabilities
  • Develop camerabased workflows optimized for challenging physical environments and guided user interaction
  • Architect offlinefirst mobile solutions with local data storage and background synchronization
  • Integrate mobile and spatial applications with backend services and web platforms for unified user experiences
  • Build scalable interfaces for realtime notifications, alerts, and status updates
  • Contribute to fullstack web applications supporting analytics, monitoring, and reporting use cases
  • Optimize application performance, reliability, and usability for extended daily use
  • Collaborate with product, data, and infrastructure teams to align application design with backend systems and AI pipelines

Qualifications

Education

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Experience

  • A minimum of 5 years of fullstack software development experience
  • At least 3 years of native iOS application development with productionlevel deployment

Preferred Qualifications

  • Experience developing VisionOS or spatial computing applications
  • Background building mobile applications for industrial, operational, or field environments
  • Experience integrating computer vision or AI capabilities into mobile or AR applications
  • Familiarity with 3D rendering, spatial visualization, or immersive UI concepts
  • Experience supporting products through full lifecycle from concept to production
  • Exposure to enterprise mobile deployment or device management environments

Soft Skills

  • Strong interpersonal skills and ability to collaborate effectively with crossfunctional teams
  • Excellent written and verbal communication skills
  • Proven ability to take ownership of complex projects from design through delivery
  • Strong problemsolving skills with a proactive, solutionoriented mindset
  • Meticulous attention to detail to ensure highquality, reliable applications

Technology Stack

  • Swift, SwiftUI, VisionOS, RealityKit, ARKit
  • Core ML, ondevice inference frameworks
  • React, Next.js, Pythonbased APIs (e.g., FastAPI or similar)
  • Relational and caching databases (e.g., PostgreSQL, Redis)
  • Cloudbased services and containerized environments
  • RESTful and realtime communication patterns (e.g., WebSockets)

Physical Requirements

  • Ability to work in a standard office or hybrid environment
  • Prolonged periods of working on a computer and mobile devices
  • Ability to participate in design reviews, testing, and collaborative sessions as needed

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

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