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Embedded Machine Learning Jobs in Florida (NOW HIRING)

Crowe LLP

Senior AI Engineer

Miami, FL · On-site +1

$99K - $137K/yr

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

University of Miami

Post Doctoral Associate

Coral Gables, FL · On-site

$46K - $63K/yr

... machine learning. * Design and conduct experimental studies involving robotic platforms such as ... Experience: * Extensive experience in robotics system design, real-time control, and embedded ...

TEKFORTUNE INC

Senior Software Engineer

Melbourne, FL · On-site

$113K - $149K/yr

... embedded development, FPGA experience, board bring-up, peripheral bring-up and low-level driver ... or machine learning libraries. • Demonstrated experience in developing software solutions ...

Raytheon

Software Engineer II

Orlando, FL

$91K - $124K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Active and ...

Raytheon

Software Engineer II

Miami, FL

$93K - $127K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Ability to obtain ...

Raytheon

Software Engineer II

Orlando, FL

$91K - $124K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Ability to obtain ...

Raytheon

Software Engineer II

Miami, FL

$93K - $127K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Active and ...

Total Quality Logistics

AI Architect

Tampa, FL · On-site

... deeply embedded into business workflows. You will partner closely with Engineering, Product ... Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric ...

TQL

AI Architect

Tampa, FL

$59.50 - $78.50/hr

... deeply embedded into business workflows.You will partner closely with Engineering, Product ... Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric ...

Total Quality Logistics

AI Architect

Tampa, FL · On-site

... deeply embedded into business workflows. You will partner closely with Engineering, Product ... Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric ...

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Showing results 41-60

All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Jobs in Florida

Embedded Machine Learning information

See Florida salary details

$52.3K

$114.6K

$130K

How much do embedded machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for embedded machine learning in Florida is $114,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $129,300.00 per year, depending on experience, location, and employer.

What is an embedded machine learning?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in embedded machine learning?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What are the most commonly searched types of Embedded Machine Learning jobs in Florida?

The most popular types of Embedded Machine Learning jobs in Florida are:

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

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

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

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

Embedded Machine Learning jobs near you
Infographic showing various Embedded Machine Learning job openings in Florida as of August 2026, with employment types broken down into 21% Internship, and 79% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,622 per year, or $55.1 per hour.

DoW SkillBridge Vulnerability Researcher

Research Innovations

Saint Petersburg, FL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 27 days ago

Job description

Position Title: Skillbridge Security Researcher 
Location: St. Petersburg, FL | Melbourne, FL | San Antonio, TX
Clearance Requirement: Top Secret/SCI
Research Innovations Inc. (RII) is redefining defense technology. We combine mission-driven impact with cutting-edge research and a culture that values autonomy, creativity, and technical excellence.

We are seeking security researchers to independently explore and exploit complex systems, from kernels to embedded platforms, to solve the unsolvable. This role combines deep technical problem-solving with real-world impact on defense and homeland security systems. This position is specifically for members of the DoW who are transitioning to civilian life and can take advantage of programs such as SkillBridge. Lets Get s#it done.
 
This position requires an Active US Top Secret security clearance
WHAT YOU WILL BE DOING
  • Conducting in-depth reverse engineering and vulnerability analysis across various architectures and platforms, including x86/64, ARM, PowerPC, and more
  • Researching and analyzing operating system and application internals, identifying and understanding security strengths and weaknesses of those systems
  • Developing and enhancing functionality by adding features and capabilities to undocumented interfaces
  • Modeling and analyzing in-memory compiled application behavior to identify potential vulnerabilities and improve security measures
  • Developing and understanding mobile/embedded systems and kernel modules, particularly related to vulnerability research
  • Participating actively in our extensive Vulnerability Research mentorship program, sharing knowledge and collaborating with colleagues
WHAT YOU HAVE DONE
  • Proficient understanding of wireless networking and associated security protocols, such as Wi-Fi (802.11), Bluetooth, or cellular networks (2G/3G/4G/5G). Familiarity with common vulnerabilities and attack vectors in wireless communication
  • Strong grasp of legacy exploit mitigations and bypass techniques, including but not limited to Address Space Layout Randomization (ASLR), Data Execution Prevention (DEP/NX), Stack Cookies (Canaries), and Control Flow Integrity (CFI). Experience in identifying and circumventing these security measures
  • In-depth knowledge of both security and network fundamentals, such as cryptography, authentication, access control, and network protocols (TCP/IP, UDP, DNS, HTTP, etc.). Understanding the security implications and potential vulnerabilities associated with these concepts
  • Programming experience with both scripted languages (preferably Python3) and compiled languages (preferably C). Ability to write efficient and secure code for vulnerability research and exploit development purposes
  • Familiarity with low-level architectures such as x86, ARM, or MIPS. Understanding the underlying principles, instruction sets, and memory models of these architectures for vulnerability identification and analysis
  • Experience with operating system internals and implementations, including Windows, Linux, or macOS. Knowledge of system structures, process management, memory management, and security mechanisms at the kernel level
  • Excellent oral, written, and interpersonal communication skills, with the ability to effectively convey complex technical concepts and interact with customers and team members alike
EVEN BETTER
  • Experience with vulnerability research and reverse engineering of real-time operating systems (RTOS), such as FreeRTOS, QNX, or VxWorks. Understanding the unique security challenges and attack vectors specific to RTOS environments
  • Bachelor's or postgraduate degree in Computer Science, Computer Engineering, or a related field
  • Experience with software protection and binary armoring techniques, such as anti-debugging, code obfuscation, or tamper resistance. Understanding the methods employed to protect software from reverse engineering and vulnerability discovery
  • Proficiency in agile development methodologies, including Scrum or Kanban, for efficient collaboration and iterative development in a cybersecurity context
  • Familiarity with low-level iOS/Android development and associated security considerations, such as jailbreaking or rooting, application sandboxing, or secure interprocess communication (IPC)
  • Knowledge of hypervisors and their security implications, including virtualization-based security, guest escape vulnerabilities, or hypervisor-based rootkits
  • Proficiency in malware analysis, including static and dynamic analysis techniques, behavioral analysis, and code deobfuscation. Experience in identifying and analyzing malware samples to understand their capabilities and potential vulnerabilities
  • Experience with constraint solving techniques, such as symbolic execution, theorem proving, or model checking, for vulnerability identification, verification, and exploit generation
  • Background in machine learning, particularly in the context of vulnerability analysis and detection, such as using ML techniques to identify patterns in code or analyze network traffic for anomaly detection
We work to help your intellectual passions and creativity thrive. It's one of our core values: Let your geek flag fly.
 
We also offer all employees comprehensive benefits including: flexible work schedules, health insurance coverage, paid time off, 401k with a company match, paid parental leave, access to wellness programs and much more. You get this all from day one, and all paid for by RII.
 
It's all part of another of our core values: Stay human. It's why our comfortable and colorful offices such as our headquarters, include a community game room, pantry, massage chair, and an escape room, among other amenities. It's why we have community ambassadors and regular community events.
 
Research Innovations, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local law.
#LI-AC1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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