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Remote Embedded Machine Learning Jobs in North Carolina

NSS

Machine Learning Engineer

Concord, NC · Remote

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

NSS

Machine Learning Engineer

Concord, NC · Remote

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

Autodesk

Senior Machine Learning Engineer

Concord, NC · On-site +1

$97K - $133K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Design and implement machine learning capabilities that improve Autodesk's customer-facing ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$67K - $90K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$67K - $90K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

Sunergi Inc

$110K - $140K/yr

Machine Learning EngineerFull-time We are expanding rapidly and are seeking new, experienced and hands-on team members who think outside of the box (and are not afraid to share their thoughts), will ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

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All JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in North Carolina

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 North Carolina? The most popular types of Embedded Machine Learning jobs in North Carolina are:
What are popular job titles related to Remote Embedded Machine Learning jobs in North Carolina? For Remote Embedded Machine Learning jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in North Carolina look for? The top searched job categories for Remote Embedded Machine Learning jobs in North Carolina are:
What cities in North Carolina are hiring for Remote Embedded Machine Learning jobs? Cities in North Carolina with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you
Infographic showing various Remote Embedded Machine Learning job openings in North Carolina as of June 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

NSS

Concord, NC • Remote

Other

Posted 12 days ago

Job description

We are working on a project that tackles the problem of managing large-scale IT networks. We are seeking talented and highly motivated developers to join us in bringing this project to a larger audience.
As an ML software developer, you will be responsible for feature development to deliver AI and machine learning solutions into our product. Your software development expertise and experience with ML will play a crucial role in delivering intelligent systems that improve VAE's flagship software product, ITPIE. Together with a small machine learning team, you will be responsible to ensure the successful integration of AI/ML models into our existing software and assist in delivering expert systems through AI/ML technologies.
Our application is primarily built using .NET, using TypeScript on the frontend, PostgreSQL for data storage, and Python for ML components. The application source is hosted in GitLab, and we use GitLab CI and Git to manage our code contribution workflows.
Roles and Responsibilities
  • Integrate AI/ML models into production systems
  • Collaborate with existing team members to preprocess and analyze large datasets
  • Work with subject matter experts to build out training/testing datasets
  • Design and build tests for AI/ML solutions and data pipelines.
Things we really need
  • Proficiency in Python and .NET (C#)
  • Understanding of web transport fundamentals (HTTP, REST, WebSockets)
  • Experience building and running unit and integration tests
  • Experience with machine learning algorithms and frameworks in Python
  • United States citizenship
  • 5-8 years of software development experience with ML-related experience
Things we'd like
  • Experience with relational databases such as PostgreSQL
  • Familiarity with newer .NET machine learning offerings
  • Familiarity with Cloud environments (e.g. AWS, Azure) and offerings
  • Strong analytical and problem-solving abilities
  • Excellent communication and teamwork skills
Things that are extra cool
  • Advanced knowledge of Python ecosystem and internals
  • Advanced knowledge of .NET runtime (reflection, performance optimization)
  • Working understanding of network concepts
  • Familiarity with Linux environments
Our end of the bargain
  • Remote-first environment (if that's your thing)
  • Dedicated collaborative office space in NoVA (if that's your thing)
  • We respect work/life balance
  • Occasional on-site team summits
  • Competitive salary and annual reviews
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About NSS

Sourced by ZipRecruiter

NSS RPO was founded by Jessica Nicholson and Conor Nicholson in 2009. They saw the need for a nice services company that valued their employees by putting them first. With Jessica’s organizational skills and strategy along with Conor’s network, the company employed 25 contract recruiters in less than a year and proceeded to make the Inc. 5000 as one of the fastest growing companies in America, three years in a row. Since its inception, NSS RPO has hired hundreds of recruiters in over 30 states. NSS RPO is proud to include among its clients eight of the ten largest government contractors, the world's largest job board, entertainment company and one of the nation’s largest banks. NSS RPO is your trusted provider of Recruitment Process Outsourcing (RPO) solutions. Founded by an experienced recruiter and solely focused on RPO, NSS RPO offers a strong network of exceptional recruiters and customizable staffing solutions. Named to Washington Business Journal’s prestigious list of Top 25 Staffing Agencies seven years in a row, NSS RPO is known for its quality, agility, and expertise. If you have a recruitment staffing need at your organization, NSS RPO can customize a solution for you, no matter how big or small.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Herndon, VA, US

Social media

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