1

Machine Learning Engineer Associate Jobs in Okeechobee, FL

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... After completing general education requirements, Sailors may apply for an associate degree in their ...

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... After completing general education requirements, Sailors may apply for an associate degree in their ...

Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ... Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ... Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ... Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

next page

Showing results 1-20

Machine Learning Engineer Associate information

See Okeechobee, FL salary details

$38.7K

$77.1K

$123.2K

How much do machine learning engineer associate jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning engineer associate in Okeechobee, FL is $77,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $88,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What cities near Okeechobee, FL are hiring for Machine Learning Engineer Associate jobs?

Cities near Okeechobee, FL with the most Machine Learning Engineer Associate job openings:

Infographic showing various Machine Learning Engineer Associate job openings in Okeechobee, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $77,100 per year, or $37.1 per hour.

Postdoctoral Fellow Application of Machine Learning and Robotics

Fort Pierce, FL • On-site

Florida Atlantic University
Colleges, Universities, and Professional Schools • 1 - 5K employees

$55K - $65K/yr

Full-time

Re-posted 8 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


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


What Florida Atlantic University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom