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Remote Embedded Machine Learning Jobs in Washington, DC

System One

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Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

Solid experience in data science, machine learning, or applied analytics roles * Experience ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

System One

Data Scientist

Mclean, VA · Remote

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

System One

Data Scientist

Mclean, VA · Remote

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

System One

Data Scientist

Mclean, VA · Remote

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

System One

Data Scientist

Mclean, VA · Remote

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

System One

Data Scientist

Mclean, VA · Remote

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

System One

Data Scientist

Mclean, VA · Remote

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

System One

Data Scientist

Mclean, VA · Remote

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

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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
Senior Algorithm & Signal Processing Researcher

Senior Algorithm & Signal Processing Researcher

STR

Washington, DC • On-site, Remote

$139K - $170K/yr

Full-time

Posted 2 days ago

New

Job description

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security requirements. Our particular focus areas include airborne/spaceborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, systems analysis, and real-time embedded processor implementation.

The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar modes, skills and applications, with particular emphasis on advanced signal processing chains and associated algorithm research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence Community needs.

About the Role:

As a Senior Algorithm and Signal Processing Engineer, you will develop, implement, test, and demonstrate novel signal processing, optimization, and machine learning algorithms for advanced electronic warfare, radar, and remote sensing applications. You will work as part of multidisciplinary teams to research next-generation sensing concepts and transition advanced algorithms into integrated systems for laboratory and field demonstrations.

A successful candidate will have expertise in one or more of the following areas: signal processing, adaptive radar signal processing, optimization, machine learning, electronic warfare, algorithm development, radar systems, communications systems, RF remote sensing, resource management, modeling and simulation, or related technical fields. This position requires strong analytical skills, scientific programming experience, and the ability to collaborate with researchers, engineers, and customers to solve challenging technical problems.

What You Will Do

  • Develop advanced sensing concepts, signal processing algorithms, and machine learning techniques for radar, electronic warfare, and remote sensing applications
  • Research, design, implement, and evaluate novel algorithms from concept through demonstration
  • Collaborate with multidisciplinary teams to architect, develop, integrate, and test advanced RF signal processing systems
  • Support modeling and simulation activities to evaluate algorithm performance and inform system design
  • Plan and execute laboratory and field testing to assess algorithm performance and transition research into operational prototypes.
  • Contribute to technical proposals, customer interactions, presentations, and technical briefings
  • Survey emerging research and incorporate state-of-the-art techniques into practical algorithm solutions.

Who You Are

  • Ability to obtain and maintain a Top Secret security clearance, for which U.S. citizenship is required by the U.S. government
  • PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, Computer Engineering, Computer Science, or a related technical discipline with 2-5+ years relevant experience
  • Strong programming skills in MATLAB, Python, C/C++, or similar scientific computing languages
  • Strong mathematical, analytical, troubleshooting, written, and verbal communication skills
  • Experience developing, implementing, testing, or analyzing signal processing, optimization, or machine learning algorithms
  • Ability to communicate complex technical concepts to both technical and non-technical audiences
  • Ability to translate research objectives and customer needs into practical technical solutions

Even Better

  • Active Top Secret security clearance
  • Experience with radar systems, RF remote sensing, electronic warfare, or communications systems
  • Experience with adaptive signal processing, waveform design, multidimensional signal processing, resource management, or system optimization
  • Experience developing algorithms for real-time or embedded systems
  • Experience with modeling and simulation, algorithm integration, and system test and evaluation
  • Experience with software development and scientific computing workflows
  • Ability to survey technical literature, identify emerging approaches, and transition research into integrated, tested solutions

Pay Information
Full-Time Salary Range: $139,000 - $170,000

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.

STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.

STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.

STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info.


STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.

If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.

Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.