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Hourly Embedded Machine Learning Jobs in Tennessee

PNC Bank

... machine learning systems. Experience with API security testing, authentication and authorization testing, and OWASP Top 10 vulnerabilities. Experience with hardware, embedded systems, kiosks, ATMs ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Build Gold layer aggregations and enriched datasets that support ML scoring models and embedded analytics reporting. * Maintain Feature Store pipelines that produce machine learning-ready feature ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Build Gold layer aggregations and enriched datasets that support ML scoring models and embedded analytics reporting. * Maintain Feature Store pipelines that produce machine learning-ready feature ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Build Gold layer aggregations and enriched datasets that support ML scoring models and embedded analytics reporting. * Maintain Feature Store pipelines that produce machine learning-ready feature ...

Nucor

Automation Engineer

Memphis, TN · On-site

$100K/yr

Salary The position pays a base hourly rate of $20.18 per hour plus production bonuses. The ... Lead projects focused on training and building machine learning (ML) models. Develop ML models for ...

Nucor

Automation Engineer

Memphis, TN · On-site

$100K/yr

Salary The position pays a base hourly rate of $20.18 per hour plus production bonuses. The ... Lead projects focused on training and building machine learning (ML) models. Develop ML models for ...

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Hourly Embedded Machine Learning information

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.

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 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.

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 are the most commonly searched types of Embedded Machine Learning jobs in Tennessee? The most popular types of Embedded Machine Learning jobs in Tennessee are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in Tennessee? For Hourly Embedded Machine Learning jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Tennessee look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Hourly Embedded Machine Learning jobs? Cities in Tennessee with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in Tennessee as of June 2026, with employment types broken down into 88% Full Time, 6% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Software Engineer I - Roadside Real-Time Systems

Software Engineer I - Roadside Real-Time Systems

TransCore

Nashville, TN

Full-time

Posted 5 days ago

TransCore rating

6.5

Company rating: 6.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

115th of 141 rated electronics manufacturers

Job description

TransCore (TRN), a subsidiary of ST Engineering, is seeking a talented and driven Software Engineer I for our development team in Nashville, Tennessee.

Summary:  TransCore is seeking a Software Engineer to participate in all phases of the software development lifecycle, including requirements analysis, system design, software development, integration, and unit testing for lane-level real-time vehicle detection and tracking systems.

This position will initially focus on LIDAR and computer vision-based vehicle detection and tracking technologies operating on edge-compute platforms in real-world roadway environments. Additional areas of responsibility may include multi-sensor data fusion, vehicle data aggregation systems, and integration with radio frequency identification (RFID) devices and other roadway sensing technologies.

The ideal candidate is comfortable working across multiple technical domains, enjoys solving complex real-time system problems, and is interested in developing software that interfaces directly with physical hardware and live traffic systems.

What You’ll Work On

  • Computer vision and vehicle tracking systems
  • Multi-sensor roadway data collection systems
  • Real-time edge computing platforms
  • Vehicle identification and aggregation systems
  • High-performance software operating in live roadway environments

Responsibilities

  • Design, develop, test, and maintain software for real-time lane-level vehicle detection and tracking systems
  • Develop software for computer vision, LIDAR, and multi-sensor data processing applications
  • Troubleshoot deployed field systems and identify, diagnose, and implement software corrections as needed
  • Develop enhancements and new features for existing applications
  • Design and implement new software systems, tools, and utilities
  • Work with distributed edge-compute systems operating in Linux-based environments
  • Participate in software architecture, design reviews, and technical problem-solving activities
  • Support integration with external devices and systems, including RFID and roadway sensing hardware
  • Analyze system logs, sensor data, and performance metrics to diagnose issues and improve system reliability
  • Collaborate with cross-functional engineering teams on system integration and deployment activities
  • Occasional travel based on business needs.

Qualifications and requirements

  • Bachelor’s degree in computer science, Computer Engineering, Electrical Engineering, or related field. A combination of equivalent education and experience may be considered.
  • Strong software development experience in C/C++, and/or C#
  • Experience developing software in Linux environments
  • Experience with real-time or near-real-time systems
  • Familiarity with computer vision, image processing, or machine learning concepts
  • Experience working with hardware-integrated systems or sensor-based applications
  • Understanding of multithreaded and distributed software architectures
  • Strong troubleshooting and debugging skills
  • Experience with Git and modern software development practices

Preferred Qualifications

  • Experience with LIDAR systems or point cloud processing
  • Experience with OpenCV, CUDA, NVIDIA Jetson platforms, or GPU-accelerated computing
  • Experience with edge-compute or embedded Linux systems
  • Experience with sensor fusion or vehicle tracking systems
  • Familiarity with REST APIs, network communications, and distributed systems
  • Experience troubleshooting software in deployed production environments

Physical Demands/Work Environment  

While performing the duties of this job, the employee is regularly required to sit for extended periods of time. Requires frequent use of keyboard and mouse, must be able to wear a headset for prolonged periods. The noise level in the work environment is usually moderate.  

What TransCore employees say

Pay

Benefits

Hours and flexibility

Workplace

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