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Embedded Machine Learning Jobs in Washington (NOW HIRING)

Booz Allen Hamilton

CNO Developer

Annapolis Junction, MD · On-site

$128K - $176K/yr

... analysis, and leveraging AI and machine learning to enhance operational effectiveness ... embedded development, or 6+ years of experience with embedded development in lieu of a degree ...

MORSE Corp

Data Scientist- TS/SCI

Arlington, VA · On-site

Responsibilities : • Perform data analysis, test and evaluation of existing machine learning ... real-time embedded systems. • Support the transition of the developed algorithms to software ...

MORSE Corp

Data Scientist- TS/SCI

Arlington, VA · On-site

$110K - $210K/yr

You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models ... embedded systems. * Support the transition of the developed algorithms to software using one or ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$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 ...

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 ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$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 ...

Booz Allen Hamilton

Autonomy SME, Lead

Washington, DC · On-site

$62.25 - $85.50/hr

Responsibilities : • Design and train machine learning models for perception, object detection ... and embedded systems. • Develop and integrate autonomy behaviors within platforms such as ...

Guidehouse

AI/ML Data Scientist

Arlington, VA

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

Guidehouse

AI/ML Data Scientist

Arlington, VA · On-site

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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Embedded Machine Learning information

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What is an Embedded Machine Learning job?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in the Embedded Machine Learning position, and why are they important?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are the most commonly searched types of Embedded Machine Learning jobs in Washington? The most popular types of Embedded Machine Learning jobs in Washington are:
What are popular job titles related to Embedded Machine Learning jobs in Washington? For Embedded Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning jobs in Washington look for? The top searched job categories for Embedded Machine Learning jobs in Washington are:
Embedded Machine Learning jobs near you
Infographic showing various Embedded Machine Learning job openings in Washington as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Mid-Level Python Software Engineer [$239k/yr+] TS/SCI-FS Poly with Security Clearance

Mid-Level Python Software Engineer [$239k/yr+] TS/SCI-FS Poly with Security Clearance

SYSTOLIC

Annapolis Junction, MD • On-site

$239K/yr

Other

Posted 13 days ago

Job description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Develop and support mission-critical software for SIGINT and cyber operations. • Design, test, and deploy software on embedded, Windows, and Linux systems. • Integrate hardware and firmware, perform system testing, and manage software configuration, continuous integration, and full life cycle support. • Utilize technologies such as Python, Javascript, MongoDB, Elasticsearch, Docker, Gitlab, JIRA, Restful Web Services, Web Services, and Machine Learning/Artificial Intelligence. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 7+ years • Total Compensation: $239k+ yearly (tentative) Job Description: • Provide timely, mission-critical software development and support for SIGINT and cyber operations. • Design, develop, test, and deploy software across embedded and general-purpose systems (Windows and Linux variants). • Collaborate with cross-functional teams to support hardware interfaces and firmware integration. • Perform debugging, documentation, and analysis of software and hardware issues. • Support field integration, system testing, and deployments (limited travel possible). • Contribute to configuration management, continuous integration, and lifecycle software support. • Key skills include: Software Testing, Embedded Systems, Windows, Linux, Python, Javascript, MongoDB, Elasticsearch, Docker, Gitlab, JIRA, SIGINT (Signals Intelligence), Cyber Warfare/Cyber Defense, Software Development, Integration and Test (I&T), Hardware Engineering, Software Configuration Management (DevOps, Continuous Integration/Delivery), Restful Web Services, Web Services, and Machine Learning/Artificial Intelligence. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency

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