ZipRecruiter

Log In

2

Remote Embedded Machine Learning Jobs in Greeneville, TN

Ntara, Inc.

Product Owner

Johnson City, TN · On-site +1

Strong working understanding of AI and machine learning concepts, including large language models ... This is a 100% remote work, U.S. based role. While the position is remote first, there may be ...

Ntara

Product Owner

Johnson City, TN · Remote

Strong working understanding of AI and machine learning concepts, including large language models ... This is a 100% remote work, U.S. based role. While the position is remote first, there may be ...

All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Greeneville, TN

Remote Embedded Machine Learning information

See Greeneville, TN salary details

$62K

$135.8K

$154.1K

How much do remote embedded machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote embedded machine learning in Greeneville, TN is $135,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $153,200.00 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?

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 job categories do people searching Remote Embedded Machine Learning jobs in Greeneville, TN look for? The top searched job categories for Remote Embedded Machine Learning jobs in Greeneville, TN are:
What cities near Greeneville, TN are hiring for Remote Embedded Machine Learning jobs? Cities near Greeneville, TN with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you

Stream Restoration Engineer

Geosyntec Consultants, Inc.

Johnson City, TN • On-site, Remote

Full-time

Re-posted yesterday

Job description

Overview

Are you seeking an opportunity to improve the world around you through stewardship of precious natural resources?

We are looking for a mid-career Stream Restoration Engineer to be in one of our following offices: Charlotte, NC; Raleigh, NC; Asheville, NC; Greenville, SC; Johnson City, TN. This opportunity offers a Hybrid work schedule within one of the offices listed. Typical work efforts include planning, design and construction assistance services on various projects including ecosystem restoration, urban stream/wetland improvement, mitigation banking, riverine engineering, stormwater engineering, coastal resiliency, along with associated environmental permitting and compliance. 

Geosyntec is an innovative, international engineering and consulting firm serving private and public-sector clients to address new ventures and complex problems involving our environment, natural resources, and civil infrastructure. Our engineers, scientists, technical and project employees serve our clients from offices across the world. Consistently ranked by ENR as one of the top environmental engineering design firms, Geosyntec is internationally known for its technical leadership, breadth of expertise, and exceptional client service. 

We invest in our people.  Each employee is unique, and your career at Geosyntec will be too.  We offer competitive pay and benefits, and well-being programs to support you and your family.

To Learn More Visit: http://www.geosyntec.com/careers/.

Essential Duties and Responsibilities
  • Directing multi-disciplinary project teams;
  • Performing and overseeing detailed fluvial geomorphic, sediment transport, biological, soil science, hydrologic and hydraulic studies;
  • Applying knowledge of CWA mitigation regulations and standard operation procedures (SOPs) for the establishment of stream and wetland mitigation banks within the U.S. Army Corps of Engineers Savannah, Mobile, Charleston, Wilmington, and Nashville Districts;
  • Leading and conducting field investigations and providing construction support services;
  • Developing construction documents, including engineering drawings and technical specifications;
  • Applying and/or directing innovative hydrologic and hydraulic modeling software, from 1-D to 3-D hydrologic, sediment transport and/or morphodynamic models;
  • Interacting with client representatives;
  • Project-level responsibility for scoping, performing, managing and delivering multiple concurrent project assignments;
  • Consistent with our sell-manage-do business model, play a role supporting lead generation, business development, staff development, and mentoring; and
  • Help broaden our reputation via publishing and visibility at prominent industry conferences.
  • Drive personal, company, and rental vehicles to client or company project or office sites, and other business locations, as needed.
Education and Licensure
  • Bachelor's degree in civil, agricultural, biological, or biosystem engineering, natural resources science, hydrotechnical, with emphasis on water resources or closely related discipline. (required)
  • Advanced degree in geology, natural resources science, environmental or civil engineering, with emphasis on water resources or closely related discipline. (preferred)
  • Ability to obtain Professional registration (within 3 years) if not presently held (i.e., P.E., P.G., P.W.S., A.E., C.E., CERP, CPSS and/or CPSC). (preferred)
Skills, Experience and Qualifications
  • At least 5 years (7+ years preferred) of consulting experience in fluvial geomorphology, ecological restoration (riverine/wetland/riparian systems), soil science, biological monitoring, mitigation banking, and natural resources remote sensing; or equivalent combination of education and experience. (required) 
  • Experience planning, conducting field and desktop data collection, data analysis, and application in an engineering context to restore degraded stream/riverine and wetland systems (e.g., developing engineering plans for construction execution). (required)
  • Experience producing Mitigation Plans and/or Mitigation Banking Instrument documents, including related agency (USACE) coordination.(preferred)
  • Significant experience with conducting fluvial geomorphologic assessments in streams and riverine systems (including the various methodologies that can be employed) and using remote sensing GIS toolsets for related analysis. (preferred)
  • Experience with remote sensing/modeling/design tools such as ArcGIS Pro, ArcGIS Hydro, coding in Python (or other code languages), HEC-RAS (1D & 2D), groundwater flow (riparian zones) models, HydroCAD and AutoCAD Civil 3D.  (preferred)
  • Experience with a variety of unmanned aerial systems (UAS) for geospatial data collection (e.g., LIDAR, imagery, etc.) and possessing an FAA remote pilot license (Part 107) or willingness to attain and maintain license. (preferred)
  • Experience with the application of the theory of machine learning and/or artificial intelligence (AI) methods to natural resource data analysis and solution generation. (preferred)
  • Strong oral and technical writing skills. (required)
  • Valid U.S. driver's license and a satisfactory driving record for business travel. (required)

#LI-AO1

#LI-Hybrid#LI-Onsite

Employment Type: FULL_TIME

Apply