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Reinforcement Learning Engineer Jobs in Florida (NOW HIRING)

University of Miami

Post Doctoral Associate

Coral Gables, FL · On-site

$46K - $63K/yr

... reinforcement learning, computer vision, and human-robot interaction. * Facilitate strategic collaborations across departments within the College of Engineering and with the UM Miller School of ...

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Reinforcement Learning Engineer information

See Florida salary details

$28.4K

$86.6K

$143.1K

How much do reinforcement learning engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for reinforcement learning engineer in Florida is $86,585.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $113,200.00 per year, depending on experience, location, and employer.

What are Reinforcement Learning Engineers?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a Reinforcement Learning Engineer, and why are they important?

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What are some common challenges faced by Reinforcement Learning Engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

What is the difference between Reinforcement Learning Engineer vs Machine Learning Engineer?

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

What are popular job titles related to Reinforcement Learning Engineer jobs in Florida? For Reinforcement Learning Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Engineer jobs in Florida look for? The top searched job categories for Reinforcement Learning Engineer jobs in Florida are:
What cities in Florida are hiring for Reinforcement Learning Engineer jobs? Cities in Florida with the most Reinforcement Learning Engineer job openings:
Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $86,585 per year, or $41.6 per hour.
Faculty - Computer Science Masters Programs (Course Director)

Faculty - Computer Science Masters Programs (Course Director)

Full Sail University

Winter Park, FL • On-site

Full-time

Re-posted 15 days ago

Full Sail University rating

6.5

Company rating: 6.5 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

448th of 546 rated colleges and universities

Job description

If you're looking for the chance to learn, grow, and make a contribution to the community, look at employment opportunities with Full Sail University. You'll find your choice of career opportunities, great benefits, an environment that welcomes and values creativity, and a work experience that is both challenging and rewarding!
Full Sail University is seeking faculty with expertise in Artificial Intelligence, Machine Learning, Human-Computer Interaction (HCI), OR Data Science. Topics covered will include Fuzzy Logic, Expert Systems, Neural Networks, Cognitive Sciences, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Clustering, Regression, and Classification. Additional focus will be placed on HCI principles such as user-centered design, usability testing, interaction design, and accessibility, as well as Data Science topics including data preprocessing, statistical analysis, data visualization, feature engineering, and big data tools. Students will apply these techniques to create knowledge-based AI agents, machine learning solutions, interactive intelligent systems, and data-driven applications. Courses will emphasize ethical considerations in AI and data handling, integration of AI into user interfaces, and communication of analytical insights to non-technical audiences. Course Directors may be required to teach both on-campus and online. All positions are full time, on-campus in Winter Park, FL.
***Positions are located on and worked from campus in Winter Park, Florida.***
Essential Duties and Responsibilities:
  • Create an environment of learning through effective teaching skills, maintain student-centered focus, and update curriculum to keep current and relevant to industry standards.
  • Utilize a variety of teaching strategies and encourage active learning.
  • Create learning activities, including assignments, tests, quizzes and labs, and assess student outcomes in a timely manner through effective assessment and constructive feedback to students to support the learning process.
  • Perform lectures for campus courses, and hold scheduled virtual course meetings for online courses. Teaching will be conducted through on-campus and online delivery.
  • Interact positively with diverse student populations; provide all students with equal opportunities for learning.
  • Demonstrate a commitment to the industry, maintain knowledge and skill relevancy through continuing education as defined in the faculty development plan.

Other Responsibilities:
  • Adheres to the policies and procedures of Full Sail University
  • Maintains strict confidentiality of student and company information
  • Demonstrates a strong commitment to the mission and values of the organization
  • Adheres to company attendance standards
  • Performs other duties as assigned

Supervisory Responsibilities: Oversee the integrity of curriculum and degree learning outcomes.
Competencies:
  • Strong organizational, analytical, and interpersonal skills
  • Exceptional written and verbal communication skills, including proofreading and editing for grammar and punctuation
  • Ability to provide detailed formative and summative feedback on student projects
  • Ability to multi-task while working independently and collaboratively with other teachers and university staff
  • Ability to interact professionally and constructively with students and staff at all levels in an immersive, fast paced environment

Education and/or Experience:
The ideal candidate must have a minimum of four (4) years related and verifiable work experience and is required to hold a terminal degree in Computer Science, Computer Engineering, Electrical Engineering or related discipline from an accredited college or university.
Certificates, Licenses, Registrations:
  • none

Skills:
  • Proficiency in programming languages such as C++, Python, C#, JAVA
  • Proficiency using software programs such as Visual Studio, MS Word, Excel, Keynote/PowerPoint and Outlook.
  • Experience as a software developer, software engineer, programmer, etc.
  • Communication, teamwork, and flexibility/adaptability
  • Empathy toward student issues/concerns
  • Experience in designing and presenting live and virtual training sessions

Environmental Factors/Physical Demands:
Work is performed in an office and classroom environment. While performing the duties of this job, the employee is regularly required to have the ability to maintain active student and employee communication; access, input and retrieve information from the computer system. May be subject to; bending, reaching, kneeling, stooping and lifting up to thirty (30) pounds.
Full Sail is an Equal Opportunity Employer.

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