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Reinforcement Learning Engineer Jobs in Miami, FL

IntelePeer

Senior ML Engineer

Dania Beach, FL

$102K - $141K/yr

You will work alongside our AI Engineering team to push the capabilities of our platform and ... reinforcement learning from human feedback (RLHF) workflows, including PPO (Proximal Policy ...

New

Royal Caribbean Cruise Line

Data Scientist

Miami, FL

Implement prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning. * Implement and maintain feature stores, model monitoring workflows ...

Royal Caribbean Group

Data Scientist

Miami, FL · On-site

Implement prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning. * Implement and maintain feature stores, model monitoring workflows ...

University of Miami

Post Doctoral Associate

Coral Gables, FL · On-site

$46K - $63K/yr

... reinforcement learning, and human-machine interaction. Facilitate strategic collaborations across departments within the College of Engineering and with the UM Miller School of Medicine, to advance ...

All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Miami, FL

Reinforcement Learning Engineer information

See Miami, FL salary details

$35.2K

$107.3K

$177.3K

How much do reinforcement learning engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for reinforcement learning engineer in Miami, FL is $107,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $140,300.00 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 Miami, FL? For Reinforcement Learning Engineer jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Engineer jobs in Miami, FL look for? The top searched job categories for Reinforcement Learning Engineer jobs in Miami, FL are:
What cities near Miami, FL are hiring for Reinforcement Learning Engineer jobs? Cities near Miami, FL with the most Reinforcement Learning Engineer job openings:
Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Miami, FL as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $107,277 per year, or $51.6 per hour.
AI Agent & Automation Developer

AI Agent & Automation Developer

Cherry Bekaert

Fort Lauderdale, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Cherry Bekaert rating

8.7

Company rating: 8.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

4th of 22 rated bookkeepers and accountants

Job description

Ranked among the largest accounting and consulting firms in the country and consistently recognized as a Great Place to Work, Cherry Bekaert delivers innovative advisory, assurance and tax services to our clients. We are proud to foster a collaborative environment focused on enabling your career growth and continuous professional development. Our Business Transformation team is looking for an AI Agent & Automation Developer. The AI Agent & Automation Developer will have the opportunity to work in a hybrid model from any of Cherry Bekaert's US office locations.

We are seeking a talented and motivated AI Agent & Automation Developer to join our team. The ideal candidate will have hands-on experience building autonomous AI agents using large language models (LLMs), agent frameworks, and modern AI infrastructure. As an AI Agent & Automation Developer, you will design, implement, and deploy intelligent agents that operate autonomously within digital environments, driving innovation and operational excellence.
This role supports organizational transformation by solving complex business challenges through intelligent automation, agent orchestration, and advanced analytics. You must be adaptable, collaborative, and eager to learn new technologies to address multifaceted business problems.
A successful candidate is a proactive problem-solver with strong software engineering skills, ready to thrive in a fast-paced environment and communicate effectively with both technical and business stakeholders.

As an AI Agent & Automation Developer, you will:

  • Design and implement AI agents using LLMs, planning algorithms, and decision-making frameworks.

  • Develop agent architectures that support autonomy, interactivity, and task completion.

  • Integrate agents into applications, APIs, or workflows (e.g., chatbots, automation tools).

  • Collaborate with researchers, engineers, and product teams to iterate on agent capabilities.

  • Optimize agent behavior through feedback loops, reinforcement learning, or user interaction.

  • Engineer and manage context for agents to ensure they access the right information at the right time. This includes applying methods such as:

  • Prompt Engineering - injecting information directly into prompts.

  • Fine-tuning - training models on additional data to embed knowledge (where applicable).

  • Retrieval-Augmented Generation (RAG) - embedding documents into vector databases and retrieving semantically relevant information.

  • Tool Use - leveraging sub-agents or deterministic models to locate and add relevant context.

  • Hybrid Approaches - combining two or more methods to maximize reliability and relevance.

  • Monitor performance, conduct evaluations, and implement safety and guardrail mechanisms.

  • Maintain thorough documentation of agent logic, design decisions, and dependencies.

  • Stay up to date with industry developments and advancements in AI, machine learning, and agent-based technologies.

  • Collaborate with stakeholders and engineering teams to integrate AI agents with Microsoft-specific platforms such as Copilot Studio, Azure AI, and Semantic Kernel SDK.

  • Build and deploy enterprise-grade Copilots using Microsoft's orchestration tools, enabling seamless interaction across Microsoft 365, Dynamics, and custom business applications.

What you bring to the role:

  • Bachelor's degree in Computer Science, AI, Machine Learning, or a related field.

  • Proven experience in agent-based systems, or intelligent automation, with a minimum of 2 years in a similar role.

  • Strong programming skills in Python (or similar) and experience with AI/ML libraries (e.g., LangChain, OpenAI API, Hugging Face, PyTorch).

  • Understanding of agent-based modeling, multi-agent systems, or reinforcement learning.

  • Experience building applications with LLMs or generative AI models.

  • Familiarity with API development, backend services, and deployment pipelines.

  • Ability to work independently in experimental and fast-paced environments.

  • Excellent communication and interpersonal skills, with the ability to build strong relationships with business and technical stakeholders.

  • Analytical mindset with the ability to solve complex problems and make data-driven decisions.

  • Demonstrated understanding of data quality, integrity, and systems integration.

What you can expect from us:

  • Our shared values that foster inclusion and belonging including uncompromising integrity, collaboration, trust, and mutual respect

  • The opportunity to innovate and do work that motivates and engages you

  • A collaborative environment focused on enabling you to further your career growth and continuous professional development

  • Competitive compensation and a total rewards package that focuses on all aspects of your wellbeing

  • Flexibility to do impactful work and the time to enjoy your life outside of work

  • Opportunities to connect and learn from professionals from different backgrounds and with different cultures

Benefits Information:

Cherry Bekaert cares about our people. We offer competitive compensation packages based on performance that recognize the value our people bring to our clients and our Firm. The salary range for this position is included below. Individual salaries within this range are determined by a variety of factors including but not limited to the role, function and associated responsibilities, a candidate's work experience, education, knowledge, skills, and geographic location. In addition, we offer a comprehensive, high-quality benefits program which includes annual bonus, medical, dental, and vision care; disability and life insurance; generous Paid Time Off; retirement plans; Paid Care Leave; and other programs that are dedicated to enhancing your personal and work life and providing you and your family with a measure of financial protection.

Pay Range:

54,245-134,000

About Cherry Bekaert

Cherry Bekaert, ranked among the largest assurance, tax and advisory firms in the U.S., serves clients across industries in all 50 U.S. states and internationally. For more details, visit https://www.cbh.com/disclosure/

Cherry Bekaert provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, citizenship status, protected veteran status, disability status, or any other category protected by applicable federal, state or local laws. https://careers.cbh.com/legal-disclosures/ contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws.

This role is expected to accept applications for at least five calendar days and may continue to be posted until a qualified applicant is selected or the position has been cancelled.

Candidates must demonstrate eligibility to work in the United States.Cherry Bekaert will not provideworksponsorship for this position.

Cherry Bekaert LLP and Cherry Bekaert Advisory LLC are members of Allinial Global, an accountancy and business advisory global association. Visit us athttps://careers.cbh.com/ and follow us onLinkedIn,Instagram, Twitterand Facebook.

2026 Cherry Bekaert. All Rights Reserved.

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