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Hourly Embedded Machine Learning Jobs in Washington

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 ...

You will lead teams and strategy for Algorithm Test and Evaluation (T&E) of AI and machine learning ... time embedded systems. Requirements: * US CITIZENSHIP REQUIRED and an Active Top Secret U.S.

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 ...

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

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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 ...

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 ...

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Hourly Embedded Machine Learning information

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

To thrive as an Hourly 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 engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an Hourly Embedded Machine Learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an Hourly Embedded Machine Learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

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

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

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 job categories do people searching Hourly Embedded Machine Learning jobs in Washington look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Washington are:
What cities in Washington are hiring for Hourly Embedded Machine Learning jobs? Cities in Washington with the most Hourly Embedded Machine Learning job openings:
Infographic showing various Hourly Embedded Machine Learning job openings in Washington as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.
Embedded Software Engineer II, Electronic Warfare (Onsite) - Sign On Bonus Eligible

Embedded Software Engineer II, Electronic Warfare (Onsite) - Sign On Bonus Eligible

Raytheon Technologies

Arlington, VA • On-site

$151K - $199K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

Date Posted:

2026-03-25

Country:

United States of America

Location:

US-VA-ARLINGTON-111 ~ 1300 17Th St N ~ BBN ARLINGTON

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type:

DoD Clearance: Top Secret

Security Clearance Status:

Active and existing security clearance required after day 1

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Our 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

RTX BBN Technologies solves challenging, real-world problems for our customers in the Department of Defense and Intelligence Community through research, exploration, development, and prototyping. Our team specializes in developing next-generation Electronic Warfare (EW) and related RF sensor system technologies by combining a fundamental understanding of the underlying EM physics including complex electromagnetic interactions and signatures, and propagation phenomenology, with a deep expertise in analysis, statistical signal processing, optimization, and machine learning.

We are searching for an Embedded Software Engineer II, Electronic Warfare to join our team. In this role, you will function as technical contributor working across multiple EW and RF sensing projects. You will provide technical execution on design and implementation, working closely with other highly skilled professionals in areas of signal processing algorithms, modeling and simulation, and firmware development.

What You Will Learn

This role requires deep technical involvement, allowing you to keep your skills current and relevant while developing or enhancing cross-functional skills in areas such as:

  • Software-defined radio
  • Signal processing
  • Real-time embedded software/firmware development
  • Embedded Linux
  • ARM processors and system on a chip (SoC) systems
  • Statistical modeling and/or deep learning
  • FPGA development using Verilog or VHDL

What You Will Do

  • Design, develop, implement, and test new applications and prototype systems
  • Collaborate across a broader team of signal processing algorithm developers, hardware designers, and software implementation experts to plan out and achieve program goals
  • Be responsible for significant portions of the embedded code base, becoming the subject matter expert in those areas
  • Assist the team in elevating our software development practices
  • Participate in laboratory and field tests to collect and analyze data, test new capabilities, and perform demonstrations.
  • Travel up to 10%, which may include overnight travel.

Qualifications You Must Have

  • Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) and 2 years of prior relevant experience, or an Advanced Degree in a related field.
  • High proficiency in C/C++ and Python/MATLAB
  • Proficiency with digital signal processing (DSP)
  • Proficiency with embedded development and applications
  • Independently execute responsibilities with minimal review or supervision
  • Highly interactive within the cross functional team, leading collaboration to ensure team success
  • Strong written and oral communication skills

Qualifications We Prefer

  • Active Secret Clearance

What We Offer

Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

  • Relocation Assistance available
  • This position is Onsite in Arlington, VA

To help you achieve your goals, BBN will provide:

  • A strong leadership team well-versed in government R&D.
  • A collaborative and collegial environment to push state-of-the-art research.
  • A technically competent pool of research scientists who are willing to mentor, listen, and help you refine your research vision and goals.
  • Business development, programmatic, contracting, finance, and HR support.
  • Access, through RTX, to opportunities that help transition your research and ultimately see it fielded.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attendselect steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 75,800 USD - 144,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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