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Reinforcement Learning Engineer Jobs in Venice, FL

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Reinforcement Learning Engineer information

See Venice, FL salary details

$35.8K

$109K

$180.2K

How much do reinforcement learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for reinforcement learning engineer in Venice, FL is $109,050.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $142,600.00 per year, depending on experience, location, and employer.

What is a reinforcement learning engineer?

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 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 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 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 job categories do people searching Reinforcement Learning Engineer jobs in Venice, FL look for?

The top searched job categories for Reinforcement Learning Engineer jobs in Venice, FL are:

What cities near Venice, FL are hiring for Reinforcement Learning Engineer jobs?

Cities near Venice, FL with the most Reinforcement Learning Engineer job openings:

Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Venice, 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 $109,050 per year, or $52.4 per hour.

Software Engineer Intern | Fall and Spring | Autonomous Intelligent Sensing for Space Applications

MRSL Real Time Systems Laboratory, Inc

Sarasota, FL • On-site

Full-time

Posted 24 days ago

Job description

Category
Engineering
Exempt/Non-Exempt
Non-Exempt
Full-Time/Part-Time
Full-Time
Location
Sarasota, FL
Number of Openings
2
Req Number
ENG-26-00010
Position Requirements
Description
Mission and Opportunity:
MRSL is a world-class developer of advanced signal processing, intelligent sensing, and autonomous systems for the U.S. Government. We build software and algorithms that help complex systems perceive, understand, and respond intelligently to their environment. Our technologies are deployed across a broad range of defense applications-including this project focusing on the emerging domain of autonomous space systems-where reliable, mission-critical autonomy can make the difference between success and failure.
This internship is an opportunity to join a mature, high-impact effort already built through approximately 18 months of work by MRSL staff and previous interns. The system has been nominated for a launch program, and the next phase is to continue that work through launch preparation, on-orbit testing, operational support, performance assessment, and iterative improvement. You will not be starting with a toy problem or a disconnected intern project. You will take ownership of meaningful technical work within an existing flight-bound system and help see it through the most important stages of its lifecycle.
What We Are Looking For:
We are looking for an engineering intern who is driven, and excited by difficult technical problems. The strongest candidates will be comfortable learning quickly, working independently when needed, and contributing as part of a multidisciplinary engineering team.
Required Qualifications:
  • Working toward or already holding a B.S. or graduate degree in Electrical Engineering, Computer Engineering, Computer Science, Aerospace Engineering, Physics, Imaging Science, or a related engineering or science discipline.
  • Experience with programming in some combination of Python, C/C++, Java, scripting, and Linux.
  • Ability to reason through algorithmic and system-level problems and implement practical solutions in code.
  • Strong communication skills, attention to detail, and a willingness to take ownership of assigned work.
  • Candidates must be U.S. Citizens and able to meet TS/SCI clearance eligibility requirements.

Bonus - Experience in any of the following:
  • ROS 2, robotics middleware, or distributed systems
  • ML, RL, agentic AI, PyTorch, TensorFlow, Keras, scikit-learn, or Edge ML
  • Autonomous or real-time sensing systems, embedded processing, or sensor fusion
  • Signal or image processing, detection and estimation, classification, or spectral analysis
  • Docker, Git workflows, CI/CD, automated testing, and software validation
  • Space systems, flight software, or operations involving embedded or real-time constraints

Eligibility and Internship Details:
This is a paid internship available during the Fall and Spring terms and offered only at MRSL's Sarasota, Florida office. A housing allowance is provided. The position is suitable for a traditional intern, co-op student, recent graduate seeking hands-on experience, or currently enrolled student able to work daytime hours around a class schedule.
Why This Internship is Different:
  • Mission impact: contribute to technology supporting U.S. Government space and defense missions.
  • Real ownership: take responsibility for work that becomes part of a functioning operational system.
  • Flight opportunity: help improve software that is expected to launch and operate in a real mission environment.
  • Full lifecycle exposure: experience development, validation, launch preparation, testing, operations, and issue resolution.
  • Career path: MRSL's internship program is one of the primary ways we identify and hire future full-time engineers.

What You Will Do:
  • Support pre-launch integration, readiness, and validation of autonomous sensing software.
  • Support post-launch testing and operations, including monitoring, metrics, and dashboards.
  • Tune, evaluate, and optimize machine learning and reinforcement learning models.
  • Perform model validation, system verification, and end-to-end mission testing.
  • Analyze customer feedback, anomalies, and system issues to identify root causes and develop resolutions.
  • Extend intelligent sensing, autonomy, and decision-making capabilities using modern software and AI techniques.
  • Collaborate with experienced engineers on system design and production-quality software development.
  • Document findings, communicate results, and translate lessons learned into improved operational capability.

Technologies and Technical Areas:
  • ROS 2 and distributed autonomy architectures
  • Machine Learning (ML), Reinforcement Learning (RL), and agentic systems
  • Python, C/C++, Linux, and embedded systems
  • Signal processing, image processing, computer vision, and sensor fusion
  • Git, Docker, CI/CD, automated testing, and collaborative software development
  • Operational dashboards, metrics pipelines, model monitoring, and data analysis
  • Flight software, real-time systems, and edge processing

About the Organization
MRSL is an employee-owned company with its headquarters in Sarasota, FL. MRSL also has offices in Monterey, CA and Dayton, OH as well as several employees located at customer facilities in the US and around the globe. MRSL has deep experience in signal processing application and common services development for the National agencies of the Intelligence Community (IC) and the Department of Defense. We develop and deploy multiple applications and system infrastructures for use in client mission operations.
MRSL specializes in the development of mission-oriented signal processing algorithms, applications, and associated services for our customers. MRSL excels in the design, development, and deployment of signal processing applications using the X-Midas framework, since we evolve and sustain this framework for the entire community of the IC contractors. MRSL employs engineers and researchers who specialize in cutting-edge signal processing technologies, system and software design, life cycle support, signal analysis, communications and software development.
MRSL proudly offers highly competitive wages and benefits. We offer a business casual atmosphere with a team-oriented environment. MRSL is looking for candidates with a solid academic background in engineering/science with good hands-on programming skills, a high degree of drive and dedication, ability to learn quickly and who works well with others. To apply go to www.mrsl.com and select Careers.
EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
This position is currently accepting applications.

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