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Remote Embedded Machine Learning Jobs in Virginia

Strategic Education, Inc.

Data Scientist II

Herndon, VA · On-site +1

The Data Scientist II leverages machine learning and Generative AI (LLMs) to deliver scalable, data ... remote location. * Faculty and Federal Work Study roles require access to work in setting which ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

SAIC

AI SETA Systems Engineer

Chantilly, VA · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a AI/Ml SETA Systems ... Provide technical and engineering support to the Government customer to manage machine learning ...

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Remote Embedded Machine Learning information

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 are the key skills and qualifications needed to thrive as a remote embedded machine learning engineer?

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 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 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 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

Data Scientist II

Strategic Education, Inc.

Herndon, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Strategic Education rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

8th of 223 rated education and training

Job description

The Data Scientist II leverages machine learning and Generative AI (LLMs) to deliver scalable, data-driven solutions that improve business performance and decision-making. This role builds and deploys predictive and LLM-based models using modern tools (CI/CD, Airflow), develops impactful insights through strong analytics and Power BI visualizations, and partners with stakeholders to identify high-value opportunities. The ideal candidate has strong analytical skills, a keen eye for data, and a passion for applying AI to real-world problems.
Key Objectives:
  • Deliver measurable business impact using machine learning and GenAI/LLM-driven solutions.
  • Improve operational performance through scalable, production-ready analytics.
  • Develop and maintain a suite of Power BI reports and dashboards to enable informed, data-driven business decisions.
  • Enable smarter decision-making through data storytelling and visualization.
  • Identify and implement high-value GenAI use cases across the organization.
  • Promote responsible and effective use of AI and advanced analytics.
  • Mentor junior team members and help elevate overall team capabilities.

Essential Duties & Responsibilities:
  • Analyze and integrate large, complex datasets from multiple sources, with cloud environments preferred.
  • Design, build, and deploy machine learning models and LLM-powered solutions.
  • Develop GenAI use cases such as text classification, embeddings, summarization, and decision-support tools.
  • Productionize models using CI/CD pipelines and orchestrate workflows using Airflow DAGs.
  • Monitor model performance, maintain documentation, and support governance, reliability, and ongoing model maintenance.
  • Translate analytical findings into clear and actionable business insights for technical and non-technical audiences.
  • Build dashboards and visualizations using Power BI to track KPIs, trends, and model outcomes.
  • Partner with stakeholders to identify opportunities for advanced analytics and AI adoption.
  • Apply strong data validation and quality checks to ensure data accuracy, completeness, and integrity.
  • Support ethical AI practices, data privacy requirements, and governance standards.
  • Mentor junior data scientists and contribute to team best practices and standards.

Required Skills:
  • Strong proficiency in SQL and Python, or R.
  • Hands-on experience developing and deploying machine learning models.
  • Experience with Generative AI and LLMs, including prompting, embeddings, and NLP-related use cases.
  • Experience with CI/CD pipelines, Airflow, and workflow orchestration.
  • Strong experience with Power BI or similar data visualization tools.
  • Excellent analytical and problem-solving skills with strong attention to detail.
  • Strong data intuition and the ability to identify patterns, anomalies, and meaningful insights.
  • Ability to communicate complex analytical and AI concepts clearly to technical and non-technical audiences.
  • Experience with version control tools such as Git and collaborative development practices.
  • Ability to work independently and effectively in ambiguous environments.

Preferred Qualifications:
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience operationalizing LLM-based solutions in production environments.
  • Familiarity with MLOps and model lifecycle management.
  • Demonstrated passion for AI innovation and continuous learning.

Work Experience:
  • 3+ years of experience in data science, advanced analytics, or a related field.
  • Proven experience building and deploying machine learning solutions in production.
  • Experience applying statistical analysis and predictive modeling.
  • Exposure to or hands-on experience with GenAI and LLM applications is strongly preferred.

Education:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field required.

Other:
  • Must be able to travel occasionally should a business need arise. For most roles travel would not be common. Travel may involve plane, car or metro. In accordance with ADA policies, reasonable accommodations regarding travel limitations can be provided. Travel will be more common for roles such as Account Executives (25 - 50%), senior leaders (10 - 20%) or Capella Core Faculty (5 - 10%).
  • Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role. If so, this would include being mobile within the office, including movement from floor-to-floor using elevators or stairs.
  • If offsite or hybrid role, must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
  • Faculty and Federal Work Study roles require access to work in setting which enables meeting all requirements of the role (including computer, privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
  • This role may require lifting, however reasonable accommodations will be provided in accordance with our ADA policies.
  • Must be able to meet critical thinking and problem solving aspects aligned to job duties, as well as effectively communicating with co-workers.
  • Must be able to work more than 40 hours per week when business needs warrant. Accommodations related to schedule may be considered.
  • Able to access information using a computer.
  • Other essential functions and marginal job functions are subject to modification.

SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay, if applicable.
Careers - Our Benefits, Strategic Education, Inc
SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. While it is not typical for an individual to be hired at or near the top end of the pay range at SEI, we offer a competitive salary. The actual base pay offered to the successful candidate may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay equity. Our Talent Acquisition Team is ready to discuss your interest in joining SEI. The expected salary range for this position is below.
$95,100.00 - $142,600.00 - Salary
If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.

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