Software Engineer
New Orleans, LA · On-site
... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...
Software Engineer
New Orleans, LA · On-site
... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...
Software Engineer
Baton Rouge, LA · On-site
... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...
Software Engineer
Baton Rouge, LA · On-site
... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...
Perception Engineer / LiDAR / Python / C++ / Computer Vision / Location: Wallingford - Oxfordshire ... machine learning - and motivated by the challenge of making perception systems work reliably in ...
Perception Engineer / LiDAR / Python / C++ / Computer Vision / Location: Wallingford - Oxfordshire ... machine learning - and motivated by the challenge of making perception systems work reliably in ...
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
AI/ML Software Developer
Kenner, LA · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
AI/ML Software Developer
Kenner, LA · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
$86.70K - $118.60K/yr
Autodesk is seeking a Senior ML Engineer, ML Systems and Infrastructure to design and scale the systems that enable machine learning across research and product development. You will help build the ...
$86.70K - $118.60K/yr
Autodesk is seeking a Senior ML Engineer, ML Systems and Infrastructure to design and scale the systems that enable machine learning across research and product development. You will help build the ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
... analytics engineering focus on leveraging advanced technologies and techniques to design and ... Those in artificial intelligence and machine learning at PwC will focus on developing and ...
... analytics engineering focus on leveraging advanced technologies and techniques to design and ... Those in artificial intelligence and machine learning at PwC will focus on developing and ...
US Tech - AI Engineering Manager
$73.50K - $244K/yr
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...
US Tech - AI Engineering Manager
$73.50K - $244K/yr
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...
Join a global, highly skilled engineering team at the heart of Advantest's cutting edge IC test ... Write test programs for data analysis using Machine Learning
Join a global, highly skilled engineering team at the heart of Advantest's cutting edge IC test ... Write test programs for data analysis using Machine Learning
CW Healthcare Data Science Intern
Baton Rouge, LA · On-site +1
Coursework in machine learning, statistics, data analysis, or programming is preferred GPA * Preferred: 3.5+ * Minimum: 3.0 cumulative GPA Skills & Experience Minimum Qualifications * Working ...
CW Healthcare Data Science Intern
Baton Rouge, LA · On-site +1
Coursework in machine learning, statistics, data analysis, or programming is preferred GPA * Preferred: 3.5+ * Minimum: 3.0 cumulative GPA Skills & Experience Minimum Qualifications * Working ...
Coursework in machine learning, statistics, data analysis, or programming is preferred GPA * Preferred: 3.5+ * Minimum: 3.0 cumulative GPA Skills & Experience Minimum Qualifications * Working ...
Coursework in machine learning, statistics, data analysis, or programming is preferred GPA * Preferred: 3.5+ * Minimum: 3.0 cumulative GPA Skills & Experience Minimum Qualifications * Working ...
Google Cloud Architect - Senior Manager
New Orleans, LA · On-site
$124K - $280K/yr
Cloud Digital Leader (Foundational), Generative AI Leader (Foundational), Cloud Engineer Associate, Cloud Developer Professional, Cloud Architect Professional, Machine Learning Engineer Professional ...
Google Cloud Architect - Senior Manager
New Orleans, LA · On-site
$124K - $280K/yr
Cloud Digital Leader (Foundational), Generative AI Leader (Foundational), Cloud Engineer Associate, Cloud Developer Professional, Cloud Architect Professional, Machine Learning Engineer Professional ...
Embedded Machine Learning Engineer information
See Louisiana salary details
$59.9K - $67.9K
1% of jobs
$67.9K - $76K
2% of jobs
$76K - $84.1K
3% of jobs
$84.1K - $92.2K
6% of jobs
$92.2K - $100.3K
5% of jobs
$100.3K - $108.4K
5% of jobs
$111.2K is the 25th percentile. Wages below this are outliers.
$108.4K - $116.5K
5% of jobs
$116.5K - $124.5K
7% of jobs
$124.5K - $132.6K
3% of jobs
$132.6K - $140.7K
3% of jobs
The median wage is $141.8K / yr.
$140.7K - $148.8K
58% of jobs
$59.9K
$131.2K
$148.8K
How much do embedded machine learning engineer jobs pay per year?
As of May 30, 2026, the average yearly pay for embedded machine learning engineer in Louisiana is $131,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $147,900.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Engineer, and why are they important?
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 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 is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?
| Aspect | Embedded Machine Learning Engineer | Firmware Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworks | Bachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience |
| Work Environment | Develops ML models for embedded devices, often in IoT or smart devices | Designs and implements low-level firmware for hardware devices |
| Industry Usage | Tech companies, IoT, consumer electronics, automotive | Consumer 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 Louisiana? For Embedded Machine Learning Engineer jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Engineer jobs in Louisiana look for? The top searched job categories for Embedded Machine Learning Engineer jobs in Louisiana are:
What cities in Louisiana are hiring for Embedded Machine Learning Engineer jobs? Cities in Louisiana with the most Embedded Machine Learning Engineer job openings:
Job description
Job Summary:
Epic is a leading healthcare technology company that develops software impacting millions of patients globally. As a software developer, you will utilize modern methodologies and technologies to innovate and enhance healthcare solutions.
Responsibilities:
• Write software that impacts the lives of 325 million patients around the world.
• Use modern development methodologies and employ user-centered design, analytics, and machine learning tools to drive innovation in healthcare.
• Invent better ways to reduce medical errors, streamline record sharing between hospitals, and provide the quality of care a patient deserves.
Qualifications:
Required:
• Relocation to the Madison, WI area (Reimbursed)
• BS/BA or greater in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related field
• A history of academic excellence or professional success
• Eligible to work in the United States without visa sponsorship (persons with appropriate qualifications and eligible for TN status under NAFTA may apply)
• COVID-19 vaccination
Company:
Epic develops healthcare software that helps people get well, stay well, and help future generations be healthier. Founded in 1979, the company is headquartered in Verona, USA, with a team of 10001+ employees. The company is currently Late Stage.
Epic is a leading healthcare technology company that develops software impacting millions of patients globally. As a software developer, you will utilize modern methodologies and technologies to innovate and enhance healthcare solutions.
Responsibilities:
• Write software that impacts the lives of 325 million patients around the world.
• Use modern development methodologies and employ user-centered design, analytics, and machine learning tools to drive innovation in healthcare.
• Invent better ways to reduce medical errors, streamline record sharing between hospitals, and provide the quality of care a patient deserves.
Qualifications:
Required:
• Relocation to the Madison, WI area (Reimbursed)
• BS/BA or greater in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related field
• A history of academic excellence or professional success
• Eligible to work in the United States without visa sponsorship (persons with appropriate qualifications and eligible for TN status under NAFTA may apply)
• COVID-19 vaccination
Company:
Epic develops healthcare software that helps people get well, stay well, and help future generations be healthier. Founded in 1979, the company is headquartered in Verona, USA, with a team of 10001+ employees. The company is currently Late Stage.