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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 Sep 8, 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 are popular job titles related to Reinforcement Learning Engineer jobs in Venice, FL?

For Reinforcement Learning Engineer jobs in Venice, FL, the most frequently searched job titles are:

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, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $109,050 per year, or $52.4 per hour.

TSI/SSBI/SCI - AI/ML -Software Engineer - Sensing Systems - Sarasota.FL

Henpen Corporation

Sarasota, FL • On-site

$125 - $150/hr

Other

Posted 20 days ago

Key responsibilities

  • Design, develop, and implement AI/ML solutions for decision-making and SIGINT processing needs.

  • Work with time-series data to develop models for event characterization, pattern recognition, anomaly detection, and automated analysis.

  • Integrate AI/ML capabilities into enterprise architectures to enable autonomous decision-making and adaptive processing systems.

Job description

TSI/SSBI/SCI - AI/ML -Software Engineer - Sensing Systems - Sarasota.FL
  • Sarasota, Florida

Must be TSI/SSBI/SCI to move forward. if not, your application will not be considered.

Sarasota, Florida, USA

Job Description

We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing.

The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.

Qualifications
  • BS degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or related field
  • Minimum 1-year hands‑on experience in AI or ML in a professional environment (3-5 years preferred)
  • Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.)
  • Solid programming background with experience using statistical and signal analysis libraries
  • Experience with neural network architectures including deep learning models
  • Understanding of transformer architectures and attention mechanisms
  • Strong understanding of MLOps, deployment and processing pipelines, testing/validation
  • TS/SCI active clearance required.
  • U.S. Citizenship required
Nice to have, but not required:
  • Understanding of digital signal processing fundamentals
  • Experience with RFML
  • Experience with Large Language Models (LLMs) including fine-tuning and prompt engineering
  • Knowledge of AI applications for autonomous decision-making and analysis
  • Additional consideration for experience with multimodal, agentic systems using RAG, COT, or MARL approaches
  • Experience with reinforcement learning, human feedback, and related system learning methods
  • Experience creating and deploying containerized AI models with Docker/Kubernetes
  • Working with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI)
  • Experience with model monitoring, A/B testing, and performance optimization
  • Experience with real-time inference systems and low-latency model serving
  • Knowledge of adversarial ML and AI security/robustness techniques
  • Experience with graph neural networks for network analysis
  • Experience in design, deployment, support of AI or ML model for significant real-world applications
Job Duties:
  • You will be responsible for designing, developing, and implementing AI/ML solutions for a wide range of decision-making and SIGINT processing needs.
  • This includes working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems.
  • You will work with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring performant processing while considering aspects of accuracy, security, and maintainability.
  • This also includes enabling autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments, and discovering features and inferring system states from the underlying data streams.
  • You will work towards solutions for large-scale sensing systems, implementing tailored models deliver intelligent insights in support of critical Intelligence Community and Department of Defense missions.

FULL RELOCATION plus Industry best benefits & stock.

Why is This a Great Opportunity

We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing.

The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.

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