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Mobile Machine Learning Jobs in Virginia (NOW HIRING)

Machine Learning Engineer

Centreville, VA ยท On-site

$102K - $144K/yr

Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and ... mobile sensor platforms with the primary purpose of real-time automated target recognition (ATR)

Mobile Application Developer

Chantilly, VA ยท On-site

$131K - $237K/yr

... Machine Learning to support our customers' mission to defend against evolving threats around the ... We are in search of a Mobile Application Developer to join our team. Your impact would come from ...

... Machine Learning to support our customers' mission to defend against evolving threats around the ... We are in search of a Mobile Application Developer to join our team. Your impact would come from ...

$185K - $224K/yr

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions ... Drawing on your deep knowledge of data ecosystems, machine learning, and AI technologies, you'll ...

Senior AI/ML Engineer

Herndon, VA ยท On-site +1

$107K - $147K/yr

Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver ...

Senior AI/ML Engineer

Herndon, VA ยท On-site

$107K - $147K/yr

Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver ...

Senior AI/ML Engineer

Herndon, VA ยท On-site +1

$107K - $147K/yr

Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver ...

Senior AI/ML Engineer

Herndon, VA ยท On-site

$107K - $147K/yr

Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver ...

... core machine learning models such as vehicle pricing, personalized recommender on carmax.com, ad ... mobile apps, in-store experience) * Closely collaborate with data science and leadership to ...

... core machine learning models such as vehicle pricing, personalized recommender on carmax.com, ad ... mobile apps, in-store experience) * Closely collaborate with data science and leadership to ...

... core machine learning models such as vehicle pricing, personalized recommender on carmax.com, ad ... mobile apps, in-store experience) * Closely collaborate with data science and leadership to ...

Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver ...

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Showing results 1-20

Mobile Machine Learning information

See Virginia salary details

$12

$25

$118

How much do mobile machine learning jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for mobile machine learning in Virginia is $25.11, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $20.00 per hour, depending on experience, location, and employer.

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 Virginia? The most popular types of Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Mobile Machine Learning jobs? Cities in Virginia with the most Mobile Machine Learning job openings:
Machine Learning Engineer

Machine Learning Engineer

Navstar

Centreville, VA โ€ข On-site

$102K - $144K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Machine Learning Engineer II

The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV's MacCready Works division and support the development of a variety of innovative computer vision capabilities (object detection, classification, localization, and tracking) and other image/video analytics for defense and commercial applications. These development efforts require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including but not limited to data management, computer vision, machine learning, optimization, and deep neural networks. This position will span multiple stages of the development process including requirements gathering, algorithm design, prototyping, test and evaluation, and validation and verification testing. This role also involves support for experimentation and fielded systems requiring travel, both domestic and international.

Duties

  • Support development of computer vision and machine learning (ML) algorithms capable of object detection, classifying, localizing, and tracking objects of interest from a variety of stationary and mobile sensor platforms with the primary purpose of real-time automated target recognition (ATR)
  • Perform visual imagery data science to inform data collection, data labeling, and data selection for training deep computer vision ML algorithms, train the algorithms using the data, and validate data selection and algorithm design through a series of purpose-designed experiments. This includes:
    • Analyze ML algorithms to solve a given problem and rank them by their success probability on new data
    • Set objectives and develop models that help achieve them, along with metrics to track their progress
    • Select appropriate datasets and data representations
    • Analyze errors of the data, model, and design strategies to overcome them
  • Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots, payloads, or other functional components) or other systems
  • Other duties as assigned

Basic Qualifications (Required Skills & Experience)

  • BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience - with qualifications in any of the following fields: Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering
  • Minimum of 2 - 5 years' experience, and 2+ years of relevant experience in machine learning and/or computer vision
  • Proficiency with a deep learning framework, preferably PyTorch
  • Proficiency with basic libraries for machine learning such as, Open-CV, scikit-learn, and pandas
  • Familiarity with Linux
  • Familiarity with Nvidia Tools (CUDA, JetPack, TensorRT) and deployment process to Nvidia GPUs
  • Demonstrated ability to troubleshoot complex systems and perform algorithmic optimization
  • Ability to perform exploratory data analysis, including visualizing and manipulating large datasets

Other Qualifications & Desired Competencies)

  • Must be a team player and collaborate effectively
  • Excellent verbal and written skills
  • Has effective problem-solving, analytical and interpersonal skills
  • Ability to work within defined requirements to complete tasks under moderate supervision
  • Able to excel in a fast-paced, deadline-driven environment, where small teams share a broad variety of duties
  • Displays strong initiative and drive to accomplish goals and meet company objectives
  • Takes ownership and responsibility for current and past work products, and demonstrates a willingness to share the results with other team members and provide feedback and input to teammates working similar problems.
  • Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company
  • Familiarity with office software and computer-based productivity tools

Special Requirements

  • U.S. Citizenship required
  • Ability to obtain (at minimum) a Secret level DoD security clearance
  • Willingness to travel (Occasionally / up to 20%)

Physical Demands

  • Ability to work in an office and manufacturing environment (Constant)
  • Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent)

Clearance Level No ClearanceThe salary range for this role is: $102,000 - $144,375