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

Node.Digital LLC

Senior AI/ML Engineer

Herndon, VA · On-site

$150 - $200/hr

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 ...

Sparks Group

Senior Data Scientist

Washington, DC

$70 - $81/hr

Our client is establishing an AI Lab to explore and implement generative AI and machine learning ... Download the Sparks Group mobile app from Apple App Store or Google Play . ----- Sparks Group is an ...

Strategic Education, Inc.

Data Scientist II

Herndon, VA · On-site +1

The Data Scientist II leverages machine learning and Generative AI (LLMs) to deliver scalable, data ... If so, this would include being mobile within the office, including movement from floor-to-floor ...

ManTech

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 ...

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

Our flagship GSR product, Quidient Reality ® , is a powerful API that enables anyone with a mobile ... Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field.

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Showing results 21-40

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 Sep 9, 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 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 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

Senior AI/ML Engineer

Herndon, VA • On-site

Node.Digital LLC
Software Development • 11 - 50 employees
Learn more about Node.Digital LLCexternal

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

Senior AI/ML Engineer

Location: Herndon, VA (Hybrid Work)

Preferred: US Citizenship

Node.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 state‑of‑the‑art enterprise solutions to both government and commercial clients. We are looking for talented people to join our efforts to enable digitalization of organizations with AI Automation and Machine Learning.

Role: AI/ML Engineer

The AI/ML Engineer is the architect and guardian of intelligent automation solutions that incorporate generative AI and machine learning technologies. They ensure the operational efficiency and continuous refinement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.

Required Skills
  • Overall experience of 6-10 Years working on Application/framework development
  • Min 5+ years of exp in AI/ML-based app/solution development with strong focus on generative AI applications
  • Hands‑on experience with AWS services including Amazon Bedrock, S3, SageMaker, CDK, Lambda, and other AI/ML services
  • Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne‑tuning)
  • Hands‑on exp with OCR, ICR and OMR technologies is a must
  • Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain)
  • Good understanding of Document Processing, classifcation, data extraction is a must
  • Knowledge in Natural Language Processing (NLP), Deep Learning, and Generative AI is a must
  • Hands‑on Web application/APIs Development experience is a must
  • Proficiency in asynchronous/multi‑threaded programming
  • Strong knowledge of algorithms, data structures, complexity, optimization, caching and security
  • Experience with JSON, SOAP, Rest, XML, XHTML, XSD and XSLT
  • Strong knowledge of object‑oriented concepts and Database concepts Experience with databases like SQL Server, PostgreSQL
  • Experience with NoSQL databases and vector databases (for RAG implementations) is a plus
  • Knowledge of AWS cloud architecture patterns and serverless computing
  • Experience with CI/CD pipelines and DevSecOps practices
  • Knowledge of Agile methodologies is desirable
  • Experience working with a toolchain that includes TFS, SVN, Git
  • Involved in different phases of SDLC and have good working exposure on different SDLCs like Agile Methodologies
Responsibilities

Your responsibility spans the design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post‑implementation. You will focus on building generative AI applications with embedded artifcial intelligence or machine learning in support of continuous improvement, learning and augmented decision‑making.

  • Designing and implementing generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures
  • Building repeatable intelligent solutions/bots for document processing and data cleansing
  • Developing and deploying scalable ML/AI models on AWS infrastructure
  • Creating API endpoints and integrations for AI/ML services
  • Implementing model evaluation, monitoring, and continuous improvement processes
  • Collaborating with cross‑functional teams to embed AI capabilities across business functions
Nice to Have
  • Experience with front‑end frameworks (React, Angular, Vue.js) and modern web development
  • UiPath RPA Developer Certification and UiPath AI Center Experience
  • Knowledge of chatbot development and conversational AI
  • Experience with AWS Bedrock Agents and Guardrails
  • Familiarity with model distillation and prompt optimization techniques
  • Understanding of responsible AI practices and AI security
Recommended Certifications
  • AWS Certified Machine Learning – Specialty
  • AWS Certified Solutions Architect
  • General AI/ML Certifications (TensorFlow Developer, Azure AI Engineer)
  • UiPath AI Center Experience (nice to have)
Education/Year of Experience

Bachelor's degree and a minimum of 5 years of experience in automation engineering roles with a focus on AI/ML integrations and generative AI application development

Cultural Fit
  • Effective communication skills for technical discussions
  • Comfortable with Agile methodologies
  • Ability to work remotely
  • Alignment with customer's mission and values
  • Adaptability to varying organizational structures
  • Data Analysis and Data Architecture Skills
  • Strong problem‑solving abilities for complex AI/ML challenges
Benefits
  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K Matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre‑Approved Online Training
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