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Reinforcement Learning Engineer Jobs in Georgia (NOW HIRING)

Global Payments

AI Engineer

Alpharetta, GA · On-site

Familiarity with reinforcement learning, multi-agent systems, and autonomous workflows ... Experience with data engineering techniques and data warehousing platforms (e.g. BigQuery ...

Global Payments, Inc.

AI Engineer

Alpharetta, GA · On-site

Familiarity with reinforcement learning, multi-agent systems, and autonomous workflows ... Experience with data engineering techniques and data warehousing platforms (e.g. BigQuery ...

Honeywell

Sr Advanced AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Senior Advanced AI Engineer, you will design, develop, and deploy AI-driven solutions for ... NLP, time-series forecasting, computer vision, or reinforcement learning. * Ability to build models ...

Honeywell

Sr Advanced AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Senior Advanced AI Engineer, you will design, develop, and deploy AI-driven solutions for ... NLP, time-series forecasting, computer vision, or reinforcement learning. * Ability to build models ...

Honeywell

Sr Advanced AI Engineer

Atlanta, GA

$100K - $138K/yr

As a Senior Advanced AI Engineer, you will design, develop, and deploy AI-driven solutions for ... NLP, time-series forecasting, computer vision, or reinforcement learning. * Ability to build models ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

... reinforcement learning, information retrieval, and natural language processing (NLP). * Highly proficient in Python and working knowledge of at least one other programming language such as Java, C+

Kiongroup

AI Scientist

Atlanta, GA · On-site

$98K - $123K/yr

Collaborating with engineering teams on MVP deployment, productization, and iterative enhancements ... Experience with reinforcement learning and/or large language models (LLMs), including LLM-based ...

Kiongroup

AI Scientist

Atlanta, GA · On-site

$98K - $123K/yr

Collaborating with engineering teams on MVP deployment, productization, and iterative enhancements ... Experience with reinforcement learning and/or large language models (LLMs), including LLM-based ...

AT&T

Senior Data Scientist

Atlanta, GA · On-site

... Reinforcement Learning, Search Algorithms, and AI- Knowledge Graphs. * Visualization and ... Prompt Engineering-Crafting effective prompts to guide generative models in producing desired ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

... reinforcement learning etc.) in a commercial setup. * Minimum of 4 years of full time Machine ... Master's degree in computer science, Engineering, Applied Mathematics or related STEM field * PhD ...

Honeywell

Advanced Data Scientist

Atlanta, GA

... reinforcement learning etc.) in a commercial setup. * Minimum of 4 years of full time Machine ... Master's degree in computer science, Engineering, Applied Mathematics or related STEM field * PhD ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

... reinforcement learning etc.) in a commercial setup. * Minimum of 4 years of full time Machine ... Master's degree in computer science, Engineering, Applied Mathematics or related STEM field * PhD ...

AIG

Ph.D. Research Data Scientist, GenAI

Atlanta, GA · On-site

... including engineering, product, and business stakeholders. This includes distilling research ... agentic AI, reinforcement learning, and reasoning into practical solutions that support ...

AIG

Ph.D. Research Data Scientist, GenAI

Atlanta, GA

We will incorporate best-in-class engineering and product management principles, and your guidance ... Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions ...

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All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Georgia

Reinforcement Learning Engineer information

See Georgia salary details

$32.1K

$97.8K

$161.7K

How much do reinforcement learning engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for reinforcement learning engineer in Georgia is $97,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,100.00 and $127,900.00 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 Georgia? For Reinforcement Learning Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Engineer jobs in Georgia look for? The top searched job categories for Reinforcement Learning Engineer jobs in Georgia are:
What cities in Georgia are hiring for Reinforcement Learning Engineer jobs? Cities in Georgia with the most Reinforcement Learning Engineer job openings:
Reinforcement Learning Engineer jobs near you
Senior Python AI/ML Engineer (TensorFlow/PyTorch) - Q125

Senior Python AI/ML Engineer (TensorFlow/PyTorch) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Senior Python AI/ML Engineer (TensorFlow/PyTorch)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking an accomplished Senior Python AI/ML Engineer to develop advanced AI solutions using Python with TensorFlow or PyTorch. This role focuses on building and training machine learning models within scalable data pipelines.
Key Responsibilities
  • Design and implement AI/ML models using Python with TensorFlow or PyTorch for predictive insights.
  • Build and optimize data pipelines to preprocess and feed data into model training workflows.
  • Train, evaluate, and deploy machine learning models in production environments.
  • Collaborate with data scientists to refine models and improve accuracy and performance.
  • Ensure scalability and efficiency of AI solutions through robust pipeline design.
  • Monitor and troubleshoot model performance to maintain production reliability.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in Python development with a focus on AI and machine learning.
  • Proficiency in building and training models with TensorFlow or PyTorch for real-world applications.
  • Experience with data pipelines for preprocessing and managing ML training datasets.
  • Strong understanding of AI/ML workflows and their integration into production systems.

Preferred Qualifications
  • Familiarity with cloud platforms like AWS or Azure for deploying AI/ML models.
  • Exposure to advanced ML techniques like deep learning or reinforcement learning.
  • Knowledge of GPU optimization for accelerating model training processes.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Python, AI, Machine Learning, TensorFlow, PyTorch, Data Pipeline, Model Training

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