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Remote Embedded Machine Learning Jobs in Washington, DC

MNF Global

Remote - Patent Agents

Fairfax, VA · Remote

$280K - $350K/yr

... such as AI, Machine Learning, Cloud, Wireless and Data Storage. This role offers full remote ... cybersecurity, embedded systems, and consumer electronics, along with mechanical and electro ...

System One

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 ...

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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 Jun 13, 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:
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Remote Embedded Machine Learning jobs near you
Remote - Patent Agents

Remote - Patent Agents

MNF Global

Fairfax, VA • Remote

$280K - $350K/yr

Full-time

Posted 22 days ago

Job description

This is a remote position.

About the Remote Opportunity: This is only for patent agents with significant patent prosecution experience.


MNF Global legal recruiting partners with top AmLaw 100 and premier boutique intellectual property firms nationwide.

One of our clients — a highly regarded, technology-focused IP firm — is seeking experienced patent attorneys and patent agents with strong technical backgrounds in Software such as AI, Machine Learning, Cloud, Wireless and Data Storage. This role offers full remote flexibility while providing access to sophisticated, high-profile work and a collaborative team environment.

Key Technical Areas: Focuses on patent applications in electrical and mechanical technologies, primarily handling high-volume work in software, AI/machine learning, cloud/data systems, networking, wireless/5G telecom, semiconductors, signal and image processing, cybersecurity, embedded systems, and consumer electronics, along with mechanical and electro-mechanical areas such as robotics, automotive systems, manufacturing, industrial equipment, HVAC/energy systems, and device-side medical technologies

Responsibilities: Draft and/or prosecute U.S. and international patent applications.

Why This Role Stands Out: Fully remote with flexible work arrangements; Access to cutting-edge emerging technology matters; Collegial team culture with direct partner and client interaction; Transparent, competitive compensation and benefits package.

Compensation Salary Range: $180,000 – $365,000 annually, depending on role, client, location, and candidate experience. Benefits. Start with a mix of monthly salary and productivity.

Next Step: Apply through this posting to be considered. All applications are handled confidentially.

About MNF Global: Since 2007, MNF Global Legal Recruiting has specialized in placing patent attorneys, patent agents, and technical specialists in top law firms nationwide. We partner with you to understand your long-term career goals and connect you with opportunities that match your technical expertise and professional ambitions.www.mnfglobal.com



Requirements

J.D. with admission to at least one state bar or registered USPTO Patent Agent; 3+ years of patent prosecution experience including but not limited to AI, ML, wireless communications, and/or semiconductors.

Degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering or Physics.

Strong writing and client communication skills; Ability to work independently and manage multiple priorities in a remote environment.




Benefits
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