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Edge Ai Machine Learning Jobs in Navarre, FL (NOW HIRING)

BAE Systems

IT Sys Arch Sr Prin

Fort Walton Beach, FL · On-site

$108K - $184K/yr

As an AI/ML Engineer at BAE Systems Inc, you will be at the forefront of developing cutting-edge AI and machine learning enterprise-grade solutions to support integration, DBA, and data and analytics ...

ManTech

Data Scientist

Fort Walton Beach, FL · On-site

Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968 ... Perform statistical modeling and machine learning cloud-based ML platforms. * Communicating complex ...

Persona AI

Robotics Simulation Engineer

Pensacola, FL · On-site

You will report to the Behavior Coordination Lead and work closely with machine learning, locomotion, manipulation, perception, and devops teams. Your Role: * Build, maintain, and extend simulation ...

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All JobsEdge Ai Machine Learning JobsEdge Ai Machine Learning Jobs in Navarre, FL

Edge Ai Machine Learning information

See Navarre, FL salary details

$23.5K

$39.2K

$81K

How much do edge ai machine learning jobs pay per year?

As of Aug 26, 2026, the average yearly pay for edge ai machine learning in Navarre, FL is $39,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,900.00 and $42,400.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What cities near Navarre, FL are hiring for Edge Ai Machine Learning jobs?

Cities near Navarre, FL with the most Edge Ai Machine Learning job openings:

Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Navarre, FL as of July 2026, with employment types broken down into 28% Internship, and 72% Full Time. Highlights an 100% In-person job distribution, with an average salary of $39,217 per year, or $18.9 per hour.

Robotics Machine Learning Engineer

Persona AI

Pensacola, FL • On-site

Full-time

Medical, PTO

Re-posted 12 days ago

Job description

Job Title: Robotics Machine Learning Engineer
Department: Machine Learning
Reports To: Head of Machine Learning
Employment Type: Full-Time
Location: Pensacola, FL or Houston, TX
Travel: 10%
Who We Are
Persona AI is building humanoid robots for the most demanding environments in heavy industry - shipyards, steel mills, fabrication facilities, and offshore platforms - performing welding, grinding, maintenance, inspection, and material-handling work that is dangerous, physically demanding, and increasingly difficult to staff.
We are backed by leading strategic and financial investors and engaged with global industrial leaders across Korea, Japan, the United States, and Singapore. Korea is the center of gravity for our early commercial strategy, anchored by relationships with the world's leading shipbuilders and steelmakers. Our work spans both the robot platform itself and the systems, partners, and playbooks required to deploy it at scale.
Why Join Persona AI?
  • We offer competitive compensation, a performance-based bonus, 99% employer covered medical benefits, early-stage equity, competitive PTO, and a company-wide paid winter break between December 24th and January 2nd.
  • You'll shape technology that's redefining the possibilities of robotics and human interaction.
  • Work alongside passionate teammates who value creativity, and continuous learning.

About the Role
We're looking for a Machine Learning Engineer to drive our machine learning strategy. We are primarily interested in candidates who have developed and released products to market, but can be flexible depending on aptitude and energy.
As one of the inaugural Machine Learning Engineers at Persona, you will have an incredible opportunity to get in at the beginning to shape the design and development of Persona's humanoid robot.
What You Will Be Doing
  • Collaborate on the design and development of the Persona ML software stack and support its application in manipulation, navigation, locomotion, and perception.
  • Work with the ML team to craft and execute on a comprehensive plan for the development of machine learning models, keeping up to date with the state of the art in research and development.
  • Work with the team to develop, test, and deploy software, machine learning pipelines, and data collection pipelines.
  • Monitor and evaluate the performance of models in the real world.
  • Collaborate with Universities and other companies.
  • Collaborate in attracting, nurturing and growing the machine learning and autonomy teams.

What We Are Looking For:
  • Courage and grit to tackle some of the hardest problems in embodied AI.
  • Enthusiasm for working collaboratively in a high paced team environment.
  • 3+ years of experience in machine learning applied to robotics.
  • Experience with deep learning frameworks (Pytorch, JAX, TensorFlow, etc.)
  • Experience with cloud computing to develop models, store data, etc. (AWS, Azure, GCP)
  • Strong understanding of the state of the art research in robot learning (behavior cloning for manipulation, reinforcement learning for locomotion, world models, etc.).
  • Understanding of the challenges of deploying neural network models in the real world.
  • Experienced in deploying both traditional and learning based approaches for robotics.
  • Capable of writing high quality software.
  • Thrive in fast paced and ambiguous environments.
  • Strong first principles thinker.

Bonus Skills:
  • An advanced degree (Masters or PhD) in computer science, robotics, machine learning, or another related field.
  • Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS).
  • Have deployed robots, collected large amounts of data, and trained large neural networks that work in production environments.

Persona AI is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

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