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Remote Embedded Machine Learning Jobs in Washington, DC

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

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. Key ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

This is a fully remote position for candidates in the continental U.S., with work hours aligned to ... This role involves leveraging cutting-edge technologies, including GenAI and machine learning ...

Lateral Insights LLC

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

... machine learning platforms, and practical experience operationalizing AI solutions from concept to production. Location: Vienna VA (We will consider Remote candidates within US Mainland on EST ...

Ex Parte, Inc

Senior Data Engineer

Bethesda, MD · On-site +1

$113K - $153K/yr

We are applying artificial intelligence, machine learning, and natural language processing to ... NET core and entity framework core. • Experience with Power BI Embedded • Understanding of ...

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All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Washington, DC

Remote Embedded Machine Learning information

See Washington, DC salary details

$79.3K

$173.7K

$197.1K

How much do remote embedded machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote embedded machine learning in Washington, DC is $173,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $148,900.00 and $195,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Embedded Machine Learning Engineer, and why are they important?

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are the most commonly searched types of Embedded Machine Learning jobs in Washington, DC? The most popular types of Embedded Machine Learning jobs in Washington, DC are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Washington, DC? For Remote Embedded Machine Learning jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Washington, DC look for? The top searched job categories for Remote Embedded Machine Learning jobs in Washington, DC are:
Remote Embedded Machine Learning jobs near you
Software Engineer (Machine Translation)TS/SCI with Poly)

Software Engineer (Machine Translation)TS/SCI with Poly)

SOLERITY

Fort George G Meade, MD • On-site, Remote

$170K - $175K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Description

 Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation's most critical Signals Intelligence (SIGINT) and cybersecurity missions.


Solerity is seeking a Machine Translation to support advanced research, development, and prototyping of Artificial Intelligence and Machine Learning solutions. This role focuses on machine translation technologies, large-scale data processing, and applied AI research to support SIGINT exploitation and cybersecurity analytics.

The ideal candidate will be experienced in modern machine learning approaches, particularly transformer-based architectures, and will contribute to the development, evaluation, and enhancement of machine translation systems and AI-driven processing pipelines.


Responsibilities Include:
  • Investigate, analyze, and develop AI and machine learning solutions supporting SIGINT and cybersecurity data exploitation. 
  • Design, build, and evaluate research prototypes for machine translation and NLP-based applications. 
  • Work with large and complex datasets to develop scalable AI-driven analytical solutions. 
  • Apply advanced research and development techniques to solve complex AI/ML technical challenges. 
  • Contribute to the design and implementation of machine translation pipelines and text processing systems. 
  • Evaluate emerging tools, models, and techniques in machine translation and natural language processing. 
  • Analyze and improve encoder/decoder transformer architectures and related AI systems. 
  • Develop and optimize AI/ML workflows and processing pipelines for performance and accuracy. 
  • Support integration and deployment of AI solutions within secure operational environments. 
  • Build and maintain containerized applications using Docker for model deployment and testing. 
  • Collaborate with senior researchers and engineers to refine AI methodologies and solutions. 
  • Propose enhancements to machine translation systems and end-to-end data processing flows. 
  • Document research findings, methodologies, and technical implementations. 
  • Additional duties may be assigned. 
REQUIREMENTS YOU BRING:
  • Bachelor's degree in Engineering, Computer Science, Mathematics, or other STEM field. 
  • 11+ years of relevant experience in AI, machine learning, data science, or related technical disciplines. 
  • Active TS/SCI with Full Scope Polygraph (FSP) clearance required. 
  • Strong experience working in research and development environments. 
  • Hands-on experience with machine learning and machine translation technologies. 
  • Solid understanding of encoder-decoder transformer architectures. 
  • Experience with modern text processing pipelines and natural language processing systems. 
  • Understanding of text embeddings and vector-based representations. 
  • Knowledge of differences between transformer-based MT systems (e.g., Marian) and large language models. 
  • Ability to evaluate and compare machine translation architectures and approaches. 
  • Experience developing AI/ML solutions using Python and C/C++. 
  • Experience with Docker for containerized development and deployment. 
  • Ability to propose and implement improvements to AI/ML systems and workflows. 
HIGHLY DESIRED QUALIFICATIONS:
  • Experience working in Intelligence Community or SIGINT-focused environments. 
  • Strong research background in machine translation or natural language processing. 
  • Experience developing or fine-tuning transformer-based AI models. 
  • Experience with distributed computing or large-scale model training environments. 
  • Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders. 
  • Experience evaluating emerging AI/ML tools and technologies in production or research settings. 
WORK LOCATION
  • Emerson III facility 
  • Telework eligible (up to 50% depending on mission requirements) 
TRAVEL
  • Minimal travel anticipated based on mission requirements

Requirements

BENEFITS YOU'LL ENJOY:

1. Medical, dental and vision coverage

2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care

3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position

4. 401(k) and company-funded life insurance

5. Generous Paid Time Off (PTO)

6. Tuition and training assistance

7. Financial rewards for employee referrals.

8. Pet insurance

9. Employee discount program


EMPLOYMENT OPPORTUNITIES: Solerity is committed to the range of perspectives we bring to the marketplace by being an employer dedicated to hiring a highly qualified team of professionals, providing world class services and products aimed at exceeding our customer's expectations. Solerity is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. Solerity is a VEVRAA Federal Contractor.


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JOB ID- 343

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