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Machine Learning Jobs in Baton Rouge, LA (NOW HIRING)

Embedded Firmware Engineer

Baton Rouge, LA · On-site

$80K - $110K/yr

You will work across embedded firmware, wireless communication (Wi-Fi and Bluetooth), camera systems, and on-device machine learning while owning firmware quality, validation strategy, and long-term ...

Embedded Firmware Engineer

Baton Rouge, LA

$80K - $110K/yr

You will work across embedded firmware, wireless communication (Wi-Fi and Bluetooth), camera systems, and on-device machine learning while owning firmware quality, validation strategy, and long-term ...

Machinist II

Port Allen, LA · On-site

$21 - $28.50/hr

Machine flanges to ASME 16.50 specifications * Perform precision work on all turning and milling ... Introductory learning to operate portable machining equipment Positional Requirements ...

Machinist II

Port Allen, LA

$21 - $28.50/hr

Machine flanges to ASME 16.50 specifications * Perform precision work on all turning and milling ... Introductory learning to operate portable machining equipment Positional Requirements ...

Machinist II

Port Allen, LA

$21 - $28.50/hr

Machine flanges to ASME 16.50 specifications * Perform precision work on all turning and milling ... Introductory learning to operate portable machining equipment Positional Requirements ...

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs ...

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Machine Learning information

See Baton Rouge, LA salary details

$24.5K

$40.9K

$84.5K

How much do machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning in Baton Rouge, LA is $40,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,200.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Baton Rouge, LA? The most popular types of Machine Learning jobs in Baton Rouge, LA are:
What are popular job titles related to Machine Learning jobs in Baton Rouge, LA? For Machine Learning jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Baton Rouge, LA look for? The top searched job categories for Machine Learning jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Machine Learning jobs? Cities near Baton Rouge, LA with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Baton Rouge, LA as of May 2026, with employment types broken down into 74% Full Time, 25% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $40,895 per year, or $19.7 per hour.
Embedded Firmware Engineer

Embedded Firmware Engineer

TRUCE Software

Baton Rouge, LA • On-site

$80K - $110K/yr

Full-time

Posted 19 days ago


Job description

About TRUCE Software
TRUCE Software is the leading provider of workplace and fleet safety solutions. Our software automatically manages mobile device usage, helping organizations reduce distractions, improve compliance, and create safer workplaces.
About the Role
We are expanding our Baton Rouge engineering team to support development of next-generation TRUCE products, including a custom dash camera platform. This role is ideal for an embedded engineer who enjoys working close to hardware and defining systems from the ground up. Because this position involves hands-on board bring-up, hardware debugging, and lab-based validation, regular in-office collaboration is expected. Remote flexibility is available when lab presence is not required.
You will work across embedded firmware, wireless communication (Wi-Fi and Bluetooth), camera systems, and on-device machine learning while owning firmware quality, validation strategy, and long-term reliability.
What You'll Work On
  • Design and implement embedded firmware for custom dash camera platforms
  • Develop multimedia pipelines including RTSP streaming and SD card storage
  • Integrate and configure camera sensors for capture and tuning
  • Develop and maintain wireless communication (Wi-Fi, Wi-Fi Aware/NAN, Bluetooth)
  • Enable execution of pretrained ML inference models on embedded hardware
  • Optimize firmware for performance, memory, power, and long-duration stability
  • Bring up and debug new hardware in collaboration with the electrical engineering team
  • Contribute to firmware architecture and long-term platform strategy

Validation & Testing Ownership
  • Develop structured test plans and detailed test cases
  • Execute system-level validation across video, storage, wireless, and ML subsystems
  • Build automated regression and test tooling (Python or similar)
  • Develop hardware-in-the-loop (HIL) or bench-level test environments
  • Support manufacturing test and production firmware validation
  • Investigate field failures and implement corrective actions

Why This Role
  • Own firmware for a new hardware platform from early development through production
  • Direct access to hardware labs for rapid iteration
  • Work on a product combining embedded systems, video, wireless, and ML
  • Influence architecture and validation strategy early
  • Small, high-impact engineering team
  • Real-world safety product with measurable impact

Requirements
Required Qualifications
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
  • Professional experience developing embedded firmware in C/C++
  • Experience with real-time or resource-constrained systems
  • Experience interfacing with hardware peripherals (SPI, I2C, UART, etc.)
  • Strong debugging skills at the firmware / hardware boundary
  • Experience developing structured test plans and system-level validation
  • Ability to work onsite in Baton Rouge on a regular basis

Preferred Experience
  • Wi-Fi and/or Bluetooth experience in embedded systems
  • RTSP, video streaming, or multimedia pipeline experience
  • Camera module or image sensor integration
  • SD card interfaces and embedded file systems
  • Machine-learning inference deployment on embedded devices
  • RTOS or bare-metal systems
  • Python for tooling, automation, or testing
  • Experience supporting product validation or manufacturing test

*Must be available for in-person interviews.