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Hourly Embedded Machine Learning Jobs in Mount Juliet, TN

EES Agency

Vice President, Operations

Nashville, TN · On-site

... are embedded across the organization AI Adoption + Operational Innovation AI strategy for the ... Leverage machine learning and predictive analytics to improve budget forecasting, resource ...

EES Agency

Vice President, Operations

Nashville, TN · On-site +1

... are embedded across the organization AI Adoption + Operational Innovation AI strategy for the ... Leverage machine learning and predictive analytics to improve budget forecasting, resource ...

DataAnnotation

Programmer - AI Trainer

Nashville, TN · On-site +1

$50 - $100/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

Oracle Corporation

Software Developer 4

Nashville, TN · On-site

This space is growing fast with machine learning advances and the demand for GPUs and CPUs is ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Oracle

Software Developer 4

Nashville, TN

This space is growing fast with machine learning advances and the demand for GPUs and CPUs is ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Oracle

Software Developer 4

Nashville, TN

This space is growing fast with machine learning advances and the demand for GPUs and CPUs is ... And with AI embedded across our products and services, we help customers turn that promise into a ...

OfficeAlly Inc.

Corporate Counsel

Brentwood, TN · On-site

$120 - $160/hr

... and wants to be deeply embedded in the business operations of a growth‑stage healthcare ... machine learning in its products. What You Need * Juris Doctor (J.D.) degree and active bar ...

Kelly Services

Machinist

La Vergne, TN

$23 - $31/hr

For those who want to keep growing, learning, and evolving. We at Kelly ® hear you, and we're here ... Competitive hourly pay and reliable weekday schedule * Work in a clean, climate-controlled, and ...

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All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Mount Juliet, TN

Hourly Embedded Machine Learning information

See Mount Juliet, TN salary details

$66.1K

$144.8K

$164.3K

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

As of Sep 2, 2026, the average yearly pay for hourly embedded machine learning in Mount Juliet, TN is $144,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,100.00 and $163,300.00 per year, depending on experience, location, and employer.

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly 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 engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What cities near Mount Juliet, TN are hiring for Hourly Embedded Machine Learning jobs?

Cities near Mount Juliet, TN with the most Hourly Embedded Machine Learning job openings:

Hourly Embedded Machine Learning jobs near you

Research Engineer, Institute for Software Integrated Systems

Vanderbilt University

Nashville, TN • On-site

$90 - $130/hr

Other

Re-posted 7 days ago

Vanderbilt University rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

150th of 628 rated colleges and universities

Job description

The Research Engineer is part of the Institute for Software Integrated Systems at Vanderbilt University
and is a key individual contributor responsible for assisting with the development, integration, and
maintenance of discipline-specific software systems, web-based applications, and engineering tools to
support project and research goals.


This position involves engineering and software design, web application development, cloud integration,
maintenance, and experimentation as directed by the Principal Investigator. Reporting directly to the
Principal Investigator, the Research Engineer regularly collaborates with a multidisciplinary team
including Research Engineers, Research Scientists, Graduate Students, and stakeholders to accomplish
project-specific goals.

About the Work Unit:

The Institute for Software Integrated Systems conducts basic and applied research in the area of systems
and information science and engineering. Applications of its technology span a wide range of software intensive systems from small embedded devices, through real-time distributed systems, to globally
deployed complex systems. Software is increasingly essential to the functions of these systems, and it is
also the primary means of adapting them to their environments and users. Our research interests lie in
the theoretical foundations, modeling, design, engineering, and educational aspects of these systems.

Key Functions and Expected Performance:

Development: 40%

  • Assist with modeling and analysis of discipline-specific engineering problems.
  • Design, develop, and maintain web-based applications, APIs, and interfaces supporting research and project goals.
  • Assist with cloud development, deployment, and integration of AI-driven and data intensive applications.
  • Contribute to the development and maintenance of discipline-specific software systems and engineering tools.
  • Perform engineering and software design, implementation, testing, analysis, maintenance, or experimentation as directed.

Project Management: 30%

  • Prepare high-quality technical documentation for project deliverables, including software,
    web systems, and APIs.
  • Maintain expertise in emerging technologies and modern web frameworks relevant to project goals.
  • Collaborate effectively with team members using version control systems and collaborative development platforms (e.g., GitHub).
  • Recommend, implement, and adhere to technical standards and best practices, including secure coding and responsive web design principles.

Collaboration and Communication: 30%

  • Provide technical input for evaluating project direction and progress.
  • Create and deliver progress reports and presentations to project staff and stakeholders.
  • Share research findings, development processes, and technical knowledge with the Principal Investigator and research team.
Supervisory Relationships:

This position does not have supervisory responsibility; this position reports administratively and
functionally to the Principal Investigator.

Education and Certifications:

A Bachelor’s degree in computer science or a related engineering discipline is necessary.

Experience and Skills:

The following skills are necessary:

  • Practical knowledge of programming languages such as Python, Julia, MATLAB, or similar languages.
  • Experience with cloud computing platforms (AWS, Azure, GCP).
  • Experience with Docker.
  • Proficiency in software system development, modeling, and systems engineering.
  • Ability to design, implement, test, document, and maintain both backend and frontend software (React, FastAPI, Flask, Node.js).
  • Familiarity with deploying and interacting with databases (MongoDB, PostgreSQL, Redis).
  • Experience with modern software development environments (e.g., VS Code), version control (Git), and CI/CD pipelines.
  • Ability to adapt quickly in high-paced research environments with evolving goals.
  • Experience working in teams of varying sizes (small to large research or development projects).

The following skills are preferred:

  • Experience with research activities aligned with the Institute’s focus areas.
  • Experience with AI (machine learning and planning) technologies.
  • Experience with optimization theory and methods
  • Knowledge of model-based engineering principles and software architecture design.
  • Strong communication skills for working with researchers, graduate students, and stakeholders.
  • Ability to produce high-quality technical documentation for web-based and software deliverables.
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