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Mobile Machine Learning Jobs in Washington, DC (NOW HIRING)

Leidos

Mobile Application Developer

Chantilly, VA · 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 ...

Node.Digital

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 ...

Node.Digital

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 ...

Node.Digital

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 ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Washington, DC

Mobile Machine Learning information

See Washington, DC salary details

$13

$28

$135

How much do mobile machine learning jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for mobile machine learning in Washington, DC is $28.68, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $22.88 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 Washington, DC? The most popular types of Machine Learning jobs in Washington, DC are:
What are popular job titles related to Mobile Machine Learning jobs in Washington, DC? For Mobile Machine Learning jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Washington, DC look for? The top searched job categories for Mobile Machine Learning jobs in Washington, DC are:
Mobile Machine Learning jobs near you
Applications Engineer (Deep Learning/Machine Learning)

Applications Engineer (Deep Learning/Machine Learning)

Brillient

Reston, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description


Brillient Corporation is seeking an Applications Engineer (Deep Learning/Machine Learning) to join its team in Reston, Virginia to work on client facing projects as well as internal projects.
Description: The Applications Engineer will work on intelligent automation, and AI/cognitive applications including machine learning and deep learning techniques. He/she will interface with non-technical users to document requirements, develop applications using an agile development process and be in charge of deployment and operations. Opportunities to learn and apply next generation technologies in the areas of AI, machine learning and block-chain.
Experience and Skills
Requirements:
  • BS, MS or higher degree in computer science or related field
  • U.S. citizenship required
  • Must be able to obtain and maintain a government Public Trust clearance
  • 3+ years experience building and deploying client server applications
  • Experience using Agile development methodology and DevOps
  • Skilled with:
    • Artificial Intelligence, Machine Learning, or Deep Learning
    • Python programming
    • Open source AI tools (such as TensorFlow, scikit-learn, keras, caffe, Theano, or torch)
    • JavaScript
    • HTML, CSS, XSLT
    • MySQL
    • Database development and administration (such as Oracle or SQL Server)
  • Must be a team player working cohesively with non-technical users
  • Eager to meet with and convey knowledge about our solutions to the client
  • Ability to work in a fast-paced environment

Desired skills - experience with:
    • Cognitive vision (video/still)
    • Natural Language Processing/Understanding (NLP/NLU)
    • Intelligent data analytics
    • Amazon Web Services and S3 knowledge

Reasonable Accommodation Requests:
If you are an applicant with a disability that requires a reasonable accommodation to complete any part of the application process, or are limited in the ability-or unable to use-the online application system and need an alternative method for applying, you may contact 703-994-4232 and press #1 for Human Resources.
In order to address your request the following information is needed:
* Name
* The best method for contacting you back
* The position title
* Requisition/Job Number
Upon receipt of this information we will respond to you promptly to obtain more information about your request. Information related to existing profiles or applications will not be provided via this phone number.
EOE Minorities/Females/Protected Veterans/Disabled
About Brillient:
Established in 2003, Brillient Corporation (Brillient) is a Technology and Business Solutions firm that specializes in providing mission-critical, consulting and technical services, and program/project staffing. We base our fundamental service philosophy on understanding what matters to our clients, how it contributes to their mission success, and how we can deliver the maximum Return on Investment (ROI). On-time delivery, cost/schedule compliance, flexibility and responsiveness, quality of workmanship and client satisfaction are our imperatives - not goals.
Headquartered in Reston, VA, Brillient has more than 300 employees deployed at client sites in nine (9) states across all four (4) Continental United States (CONUS) time zones (Virginia mid-Atlantic area, Missouri, California, Maryland, Texas, Pennsylvania, Alabama, and Washington, DC). Our capabilities include Information Management comprising Big Data Management as well as Records Management, Business Process Reengineering (BPR), Cloud Computing, Mobile Apps, Web and Applications Development, and Mission Support Services (Financial, Program and Administrative Support).
We have partnered with more than 16 Federal agencies over the past decade. Our client list includes DHS (Transportation Security Administration (TSA), U.S. Citizenship and Immigration Services (USCIS) and United States Coast Guard (USCG)), SBA, Department of the Treasury (TREAS), Department of Justice (DOJ), Department of Interior (DOI), Department of Commerce (DOC), Department of Education (DoED), and Department of Energy (DOE). Teaming with Brillient means having a partner with an outstanding track record of quality deliverables, motivated high caliber personnel, and responsive customer service.
Job Benefits
Brillient offers a full range of benefits for Medical, Dental, Vision, and Voluntary Life, Long-Term, and Short-Term Disability. We offer Paid Time Off and 401(k)/401(a) plans with Paid Holidays and Mass Transit Benefit (MTB) plans.
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