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Embedded Machine Learning Engineer Jobs in Tennessee

Stackruit Ltd.

Machine Learning Engineer

Nashville, TN · On-site

Be an ML Engineer & Make a Difference in Healthcare (US Remote-First with Nashville Option) Join TailorCare and use machine learning to improve chronic pain treatment! TailorCare is on a mission to ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Your Mission, Should You Choose to Accept As a Machine Learning Engineer, you will research, evaluate, and select appropriate machine Learning approaches and architectures based on the problem ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training, and evaluating machine learning models to solve complex, real-world problems. We ...

Bespoke Labs

Machine Learning Engineer

Memphis, TN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Knoxville, TN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Nashville, TN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Jackson, TN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Crowe LLP

Machine Learning Engineer

Knoxville, TN · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

New

Crowe LLP

Machine Learning Engineer

Nashville, TN

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

New

Revecore

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

Remote - USA As a Senior Machine Learning Engineer (individual contributor) atRevecore, you will: Use yourexpertisein machine learning, exploratory data analysis, and software engineering to enhance ...

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All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Tennessee

Embedded Machine Learning Engineer information

See Tennessee salary details

$63.5K

$139.2K

$157.9K

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

As of Aug 18, 2026, the average yearly pay for embedded machine learning engineer in Tennessee is $139,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,400.00 and $157,000.00 per year, depending on experience, location, and employer.

What does an embedded machine learning engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are the key skills and qualifications needed to thrive as an embedded machine learning engineer?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What are some common challenges faced by embedded machine learning engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Tennessee?

For Embedded Machine Learning Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning Engineer jobs in Tennessee look for?

The top searched job categories for Embedded Machine Learning Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Embedded Machine Learning Engineer jobs?

Cities in Tennessee with the most Embedded Machine Learning Engineer job openings:

Embedded Machine Learning Engineer jobs near you

Machine Learning Engineer

Stackruit Ltd.

Nashville, TN • On-site

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Be an ML Engineer & Make a Difference in Healthcare (US Remote-First with Nashville Option) Join TailorCare and use machine learning to improve chronic pain treatment!

TailorCare is on a mission to transform specialty care for joint, back, and muscle conditions. We use data science to create personalized treatment plans for each patient.

Our Ideal Candidate:
  • Bachelor’s in CS, engineering, or similar (3+ years of experience preferred).
  • Experience as an ML engineer, data scientist, or data engineer (3+ years a plus).
  • Python or Scala pro with machine learning skills (scikit-learn, PyTorch, etc.) (2+ years).
  • Familiarity with DNNs, LLMs, and data pipelines is a plus.
  • A scientific approach, engineering mindset, and focus on building simple solutions.
Bonus Points for:
  • Experience with healthcare data and Databricks.
  • CI/CD process knowledge (GitHub).
What You’ll Do:
  • Design, build, and deploy machine learning models to improve patient care.
  • Collaborate with cross-functional teams to understand needs and develop solutions.
  • Automate workflows using Databricks and GitHub to ensure model performance.
  • Stay up-to-date on the latest MLOps best practices.
Why TailorCare?
  • Make a real impact on people’s lives.
  • Work from anywhere in the US (remote-first with a Nashville office option).
  • Competitive benefits package with PTO, health insurance, 401k match, and more.
  • Supportive and inclusive work environment that prioritizes work-life balance.
Ready to use your ML skills to change lives? Apply today!

We are an equal opportunity employer and value diversity at our company.

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