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Senior Reinforcement Learning Jobs in Florida (NOW HIRING)

Structural Engineer

Tampa, FL · On-site

$75K - $80K/yr

Support the senior engineers by preparing reinforcement lists, quantity take-offs, and redlines for ... Additional learning and development programs, training, career opportunities and a highly regarded ...

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Senior Reinforcement Learning information

What are some common challenges faced by senior reinforcement learning professionals when deploying models in real-world environments?

Senior Reinforcement Learning professionals often encounter challenges such as ensuring model robustness when transferring algorithms from simulated to real-world environments, handling limited or noisy data, and managing the computational demands of training complex models. Additionally, safety and interpretability are critical, as real-world deployments can have significant impacts if models behave unpredictably. Close collaboration with domain experts and engineering teams is essential to address these challenges and ensure successful, scalable deployments.

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

To thrive as a Senior Reinforcement Learning Engineer, you need deep expertise in machine learning, reinforcement learning algorithms, and programming languages such as Python, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and RL-specific libraries, as well as experience with high-performance computing and cloud platforms, is typically required. Strong problem-solving abilities, collaboration, and communication skills help distinguish top performers in this role. These skills ensure the development of efficient, robust RL models and effective teamwork on complex AI projects.

What is the difference between Senior Reinforcement Learning vs Data Scientist?

AspectSenior Reinforcement LearningData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; experience with RL frameworksDegree in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, AI teams, tech companies focusing on ML projectsBusiness analytics, data analysis, and modeling in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, marketing, tech, and more

While both roles require strong analytical skills and technical knowledge, Senior Reinforcement Learning specialists focus on developing RL algorithms and models, often in AI research settings. Data Scientists analyze data to inform business decisions across industries. The roles overlap in data handling and programming but differ in their core focus and application areas.

What does a senior reinforcement learning engineer do?

A Senior Reinforcement Learning Engineer designs, develops, and implements advanced machine learning algorithms that enable systems to learn optimal behaviors through trial and error. They work on complex problems such as robotics, game AI, recommendation systems, and automated decision-making. In addition to coding and model development, they often lead research initiatives, collaborate with cross-functional teams, and mentor junior engineers. Their role requires deep knowledge of reinforcement learning theory, practical experience with machine learning frameworks, and strong programming skills.
What are the most commonly searched types of Reinforcement Learning jobs in Florida? The most popular types of Reinforcement Learning jobs in Florida are:
What cities in Florida are hiring for Senior Reinforcement Learning jobs? Cities in Florida with the most Senior Reinforcement Learning job openings:

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Re-posted 27 days ago


Job description

Company Overview
By Light Professional IT Services LLC readies warfighters and federal agencies with technology and systems engineered to connect, protect, and prepare individuals and teams for whatever comes next. Headquartered in McLean, VA, By Light supports defense, civilian, and commercial IT customers worldwide.
Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of modeling and simulation (M&S) training solutions to the Federal Government and industry. Since 2004, CESI has been at the forefront of developing, maintaining, and integrating simulation-based training, serious gaming, technical services, training and other support in live, virtual, constructive, and gaming (LVCG) domains. CESI also designs, builds and runs infrastructure, platforms, applications and processes that enable cyber training for the integrated multi-domain force. Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer, integrator and services provider.
#sofweek
Responsibilities
As an AI Software Engineer, you will be actively involved with the full software and machine learning lifecycle. You will be expected to support requirements analysis, conduct trade studies for model and framework selection, present AI design architectures, and implement solutions utilizing techniques like Retrieval-Augmented Generation (RAG) and model training or fine-tuning.
Solutions will be created from established requirements using robust engineering processes tailored for AI in production systems. This process will guide the selection, development, and evaluation of foundational models, AI agent platforms, and orchestration frameworks. Additionally, you must be able to independently complete detailed design and development work for individual AI components, establishing robust agent context and memory management capabilities.
Once individually developed, these components must seamlessly integrate into the broader products, frequently requiring integration with vector databases at the subsystem level. Following strict software and ML engineering standards is crucial for building reliable systems, particularly when applying advanced logic like reinforcement learning techniques. Comprehensive documentation of model behavior, integration points, and system architecture is expected throughout the entire effort.
You must also maintain a clear understanding of the project schedule and budget, ensuring all tasks-from initial model evaluation to production deployment-stay on track. Finally, as a senior member of the team, you may be responsible for providing technical oversight on AI integration to the broader development team and communicating directly with the customer to ensure AI capabilities align with their operational needs.
Required Experience/Qualifications
  • Bachelor's degree in a technical discipline such as electrical engineering, computer science, information technology, systems or software engineering from an accredited college or university.
  • 5+ years of experience designing and developing software modules for integration into large-scale systems and networks.
  • Experience with software/hardware analysis and design, performance analysis, configuration and data management, quality assurance, and specification definition.
  • Must be able to adhere to robust technical specifications and work both independently and as a member of a software development team.

Preferred Experience/Qualifications
  • Proficiency with AI coding assistants and/or experience developing production-grade AI/ML agents.

Special Requirements/Security Clearance
Please note that pursuant to a government contract, this specific position requires U. S. Citizenship status with ability to obtain a TOP SECRET security clearance Security Clearance requirements will be specified in the Government's Task Order.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. The above is intended to describe the general contents of and requirements for the performance of this job.
Benefits Overview
CESI recognizes that our strength is our people. We support every employee as an individual to build strong teams across the enterprise. Our benefit package includes:
  • Medical, Dental & Vision Coverage
  • Wellness Program
  • 401(k) Matching
  • Disability (Short Term & Long Term)
  • Employee Assistance Program
  • Life Insurance
  • Education & Training
  • Generous Leave Policy (11 Federal Holidays, PTO, Military Leave, Bereavement and Jury Duty)

Cole Engineering Services, Inc. is an equal opportunity employer. We consider qualified applicants without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, political affiliation, age, marital status, disability, genetic information, veteran status, membership in an employee organization, or any other basis prohibited by federal, state, or local laws.