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Mobile Machine Learning Jobs in Manassas, VA (NOW HIRING)

The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... Orchestrate the deployment and maintenance of applications across cloud, desktop, mobile, and edge ...

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... on-prem, desktop, mobile, and edge devices. In addition, you will collaborate closely with ...

Machine Learning Engineer

Arlington, VA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... on-prem, desktop, mobile, and edge devices. In addition, you will collaborate closely with ...

Machine Learning Engineer

Arlington, VA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... on-prem, desktop, mobile, and edge devices. In addition, you will collaborate closely with ...

The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... Orchestrate the deployment and maintenance of applications across cloud, desktop, mobile, and edge ...

The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... Orchestrate the deployment and maintenance of applications across cloud, desktop, mobile, and edge ...

The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... Orchestrate the deployment and maintenance of applications across cloud, desktop, mobile, and edge ...

Senior AI/ML Engineer

Herndon, VA · 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 · 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 · 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 ...

AI Model Developer

Ashburn, VA · On-site

$125K - $150K/yr

Everforth ECS is seeking a highly skilled AI Model Developer with expertise in machine learning ... Integrate AI models into web and mobile applications. * Ensure scalability, security, and ...

Mobile Application Developer

Ashburn, VA · Hybrid

$114K - $190K/yr

... machinery, or to communicate with co-workers, management, and customers, which may involve ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

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Mobile Machine Learning information

See Manassas, VA salary details

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How much do mobile machine learning jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for mobile machine learning in Manassas, VA is $25.32, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 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 Manassas, VA? The most popular types of Machine Learning jobs in Manassas, VA are:
What are popular job titles related to Mobile Machine Learning jobs in Manassas, VA? For Mobile Machine Learning jobs in Manassas, VA, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Manassas, VA look for? The top searched job categories for Mobile Machine Learning jobs in Manassas, VA are:
What cities near Manassas, VA are hiring for Mobile Machine Learning jobs? Cities near Manassas, VA with the most Mobile Machine Learning job openings:

Senior Machine Learning Engineer

STR

Arlington, VA

$155K - $195K/yr

Other

Posted 22 days ago


Job description

About the Team:

STR's Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe.

The Role

As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into production systems that solve critical national security problems.

Working as part of a multidisciplinary team of researchers, engineers, and domain experts, you will bridge the gap between prototype and product by hardening solutions, building scalable backend services, and creating polished user interfaces with intuitive workflows. You will build software with AI/ML at its core, ranging from classical statistical methods to frontier language models, deployed across a diverse set of platforms including cloud, onprem, desktop, mobile, and edge devices. In addition, you will collaborate closely with customers to understand mission needs, rapidly prototype capabilities, and iterate based on user feedback.

What You'll Do:

  • Partner directly with customers, stakeholders, and end users to translate mission needs into technical requirements and iterate based on real-world feedback
  • Drive technical excellence by providing leadership and championing software engineering best practices across multidisciplinary teams
  • Architect loosely coupled systems prioritizing interpretability, maintainability, and feature growth
  • Bridge the gap between research and production by implementing novel capabilities into existing live systems
  • Engineer robust backend services, scalable APIs, and optimized database models
  • Develop polished, intuitive, and responsive user interfaces in close collaboration with UI/UX designers
  • Orchestrate the deployment and maintenance of applications across cloud, desktop, mobile, and edge environments, including air-gapped systems
  • Build and optimize CI pipelines and manage execution runners to maintain code quality and reproducible builds
  • Contribute to the full software development lifecycle, including strategic project planning, rigorous code reviews, and comprehensive testing

Who you are:

  • Active Secret security clearance, for which U.S citizenship is needed by the U.S government
  • Enjoys working hard and seeing mission impact
  • BS degree in Computer Science, Software Engineering, Data Science, Statistics, Mathematics, Physics, or a related technical field
  • 6+ years of professional software engineering and/or machine learning research experience (or equivalent experience depending on degree)

Soft skills

  • Strong written and verbal communication skills, with the ability to explain complex technical concepts to both technical and nontechnical audiences
  • Demonstrated ability to collaborate effectively within crossfunctional teams, give and receive constructive feedback, and mentor others
  • Comfortable building from partial or ambiguous requirements and iterating quickly based on user feedback and changing mission needs

Technical Skills

  • Experience developing, training, and deploying machine/statistical learning models using modern Pythonbased frameworks
  • Experience running models on NVIDIA GPUs
  • Experience containerizing and deploying software using Docker, and on cloud platform
  • Experience designing and implementing REST APIs
  • Experience designing data models and working with relational databases
  • Fluency in Python and its ecosystem
  • Proficiency in at least one systemslevel language with manual or lowlevel memory management
  • Proficiency in HTML, CSS, and JavaScript (experience with a modern frontend framework such as Svelte or React is a plus)
  • Solid understanding of software engineering principles, including testing, scalability, observability, maintainability, and performance optimization

Pay Information
Full-Time Salary Range: $155,000 - $195,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.