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Remote Embedded Machine Learning Jobs in Virginia

Axiom Path

Lead Data Engineer #3624301

Richmond, VA · Remote

$114K - $187K/yr

... machine learning, operational reporting, and customer-facing products. What's In Store For You This is a full-time, remote opportunity for candidates residing in approved Eastern Time states or ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... Machine Learning algorithm testing and evaluation. The ideal candidate is an expert imagery ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$150K - $195K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $195K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

Our team works with agentic and generative AI, machine learning, network analysis, sampling ... while embedded in a product team as owner of data science innovations to the product.

New

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

Our team works with agentic and generative AI, machine learning, network analysis, sampling ... while embedded in a product team as owner of data science innovations to the product.

New

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows -- including training data preparation, model ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Gnw

Lead AI Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP ...

Genworth Financial

Lead AI Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

ManTech

Junior AI/ML Engineer

Arlington, VA · Remote

$83K - $139K/yr

Implement automated machine learning pipelines and MLOps practices for continuous integration and ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

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All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Virginia

Remote Embedded Machine Learning information

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 Virginia? The most popular types of Embedded Machine Learning jobs in Virginia are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Virginia? For Remote Embedded Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Virginia look for? The top searched job categories for Remote Embedded Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Remote Embedded Machine Learning jobs? Cities in Virginia with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you
Senior Cognitive Scientist

Senior Cognitive Scientist

VivSoft Technologies LLC

Herndon, VA • On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 16 days ago

Job description

About Us:
VivSoft is an emerging technology company specializing in Cloud, Enterprise DevSecOps, AI, and Digital Customer Experience to drive mission-enabling digital transformation. We build mission-focused, scalable solutions through a diverse team of strategists, engineers, and designers experienced in high-performance software and AI factory accelerators. At VivSoft, you'll lead high-impact federal proposals that shape mission-critical solutions in cutting-edge fields like DevSecOps, AI, and Cloud technologies.
Job Summary:
We are seeking a highly skilled Senior Cognitive Scientist to lead research and development efforts focused on applying cognitive science principles to artificial intelligence within enterprise business applications. This role involves designing advanced approaches for learning representations from textual data to enhance information discovery and support human decision-making. The ideal candidate will have deep expertise in cognitive modeling, training design, and performance metrics, along with hands-on experience in AI, machine learning, and natural language processing.
Key Responsibilities:
  • Apply cognitive science principles to enable AI solutions in enterprise business applications.
  • Design and implement methods for learning representations from textual data to improve information retrieval and decision-making.
  • Lead R&D initiatives in training design, competency modeling, and cognitive performance metrics.
  • Identify cognitive training requirements and develop cognitive skills training programs.
  • Develop and validate metrics for assessing cognitive performance and competency models.
  • Collaborate with cross-functional teams to integrate cognitive science into AI-driven systems.
  • Contribute to all phases of software development, with emphasis on planning, analysis, testing, integration, documentation, and presentation.

Minimum Qualifications:
  • Minimum of five (5) years of relevant experience in cognitive science, AI, or related fields.
  • Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or a related discipline.
  • Experience with artificial intelligence, machine learning, natural language processing (NLP), knowledge discovery, data mining, and unstructured data analytics.
  • Proficiency in one or more programming languages, including but not limited to: Java, C/C++, or Python.
  • Experience with one or more of the following: NLP, text understanding, classification, pattern recognition, recommendation systems, targeting systems, or ranking systems.
  • Must possess IT-II Non-Critical Sensitive security clearance or Tier 3 (T3) at time of proposal submission.

Preferred Skills:
  • Strong research background in cognitive science and its application to AI.
  • Experience designing cognitive training programs and performance metrics.
  • Familiarity with enterprise AI applications and human-computer interaction.

Benefits:
  • Comprehensive Medical, Dental, and Visions Plans (Healthcare benefits are 100% employer-paid for employees only)
  • Life Insurance
  • Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)
  • 401K Retirement Plan with employer match
  • Professional Development Training Reimbursement
  • Flexible/remote work schedules

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