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Embedded Machine Learning Jobs in Florida (NOW HIRING)

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Make AI the Engine, Not a Side Project · Personally direct the AI and machine learning solutions embedded in the platform -- risk stratification, risk adjustment accuracy, quality measure ...

You will contribute to real-world projects, applying your skills in algorithm design, machine learning, and embedded systems to enhance autonomy in challenging conditions. Essential Functions

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Deploy and optimize algorithms on embedded systems (Jetson, GPU-enabled platforms) with focus on ... Familiarity with computer vision and machine learning tools such as OpenCV, PyTorch, or TensorFlow

You will contribute to real-world projects, applying your skills in algorithm design, machine learning, and embedded systems to enhance autonomy in challenging conditions. Essential Functions

You will contribute to real-world projects, applying your skills in algorithm design, machine learning, and embedded systems to enhance autonomy in challenging conditions. Essential Functions

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Embedded Machine Learning information

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$52.3K

$114.6K

$130K

How much do embedded machine learning jobs pay per year?

As of Jul 28, 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 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 is an Embedded Machine Learning job?

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 the Embedded Machine Learning position, and why are they important?

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 the most commonly searched types of Embedded Machine Learning jobs in Florida? The most popular types of Embedded Machine Learning jobs in Florida are:
Infographic showing various Embedded Machine Learning job openings in Florida as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,622 per year, or $55.1 per hour.
Postdoctoral Fellow Application of Machine Learning and Robotics

Postdoctoral Fellow Application of Machine Learning and Robotics

Florida Atlantic University

Fort Pierce, FL • On-site

$55K - $65K/yr

Full-time

Posted 5 days ago


Florida Atlantic University rating

6.6

Company rating: 6.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

495th of 612 rated colleges and universities


Job description

Apply now to join FAU on its race to excellence.
For more information on everything FAU has to offer, please visit www.fau.edu/jobs.
Note: Current FAU employees must apply as an internal applicant by logging into their existing Workday employee account.
Position Summary:
Florida Atlantic University's Systems and Imaging Laboratory (SAIL) at Harbor Branch Oceanographic Institute in Fort Pierce, FL, is seeking a 12-month, non-tenure Postdoctoral Fellow position. Extension of the appointment beyond one year is possible, depending on funding availability and performance.
This position will focus on developing robotics and cyber physical systems solutions using machine learning and artificial intelligence to support different aspects of marine science, with opportunities to expand to other areas.
Currently, SAIL is conducting multiple projects ranging from Hybrid Aerial Underwater Robotic System (HAUCS)- a cyber physical system (CPS) for aquaculture, to sensors and platforms for maritime applications. In this position, your primary task will be to lead the development of algorithms, software, and hardware to extend the current HAUCS framework.
This includes developing the sensors, sensing robotic platforms, environmental prediction models, and visualization tools as needed. Additional tasks include field experiments to test the instruments and validate models; preparing data reports and presentations for technical conferences; publishing results in peer-reviewed journals; and mentoring students and junior scientists. There will also be opportunities to work on other related projects, including the application of AI to solve underwater vision problems and Phase III of the Next Generation Sensor Systems for Natural Oceanic Bioluminescence Assessments. The Postdoctoral Fellow will be able to grow his/her skills in research and grant writing by taking an active role in identifying funding opportunities and developing grant proposals.
Minimum Qualifications:
- A doctorate (foreign equivalent acceptable) in electrical engineering, computer
science, engineering, or related area.
- A team player who is willing to train junior scientists in the lab.
- Expertise in robotics and unmanned aerial vehicle development, in particular electronic hardware design and embedded system development.
- Comprehension of common machine learning algorithms and image analysis.
- Independent, self-motivated, well-organized, and critical thinker.
- Good written and verbal communication skills.
Salary:
$55,000.00 - $65,000.00
College or Department:
Harbor Branch Oceanographic Institute/Systems and Imaging Lab (SAIL)
Location:
Harbor Branch (HBOI)
Work Days and Hours:
N/A
Application Deadline:
2026-12-31
Special Instructions to Applicant:
This position is open until filled and may close without prior notice.
This position is subject to funding.
All applicants must apply electronically to the currently posted position on the Office of Human Resources' job website (https://fau.edu/jobs) by completing the required employment application for this recruitment and submitting the related documents.
Required Documents:
FAU's Career Page permits the attachment of required/requested documentation.
PLEASE NOTE: A maximum of five (5) documents may be attached to your application. If more than five (5) documents are required for submission, please combine additional documents into a single attachment to not exceed the maximum permitted.
The site permits the attachment of required/requested documentation. Candidates wishing full consideration are to provide the following: a cover letter, curriculum vitae, statement of interest, transcripts, and contact information for three professional references including email addresses and phone numbers.
Transcripts:
Final candidate will be required to have official, sealed transcripts and original NACES evaluation, if applicable, sent from their educational institution to Human Resources prior to the start of employment.
Background Screening:
Selected candidates must successfully complete and pass all employment screenings prior to the start of employment. Employment screenings may include a criminal background check (level I and level II), motor vehicle check, credit check, reference checks, alcohol, and drug screening check.
Accommodations:
Individuals requiring accommodation, please call 561-297-3057. 711

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