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Reinforcement Learning Engineer Jobs in Georgia (NOW HIRING)

Intuit

AI Scientist 2

Atlanta, GA · On-site

... machine learning engineers and guided by senior scientists. * Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and ...

Intuit

AI Scientist 2

Atlanta, GA · On-site

... machine learning engineers and guided by senior scientists. * Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and ...

Global Payments

AI Engineer

Alpharetta, GA

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

$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 ...

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+

Intuit

Staff AI Scientist

Atlanta, GA · On-site

Join a collaborative and inventive team of AI scientists and machine learning engineers where your ... based models, reinforcement learning, clustering, time series, causal analysis, and natural ...

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 ...

Launch Potato

Lead Data Scientist, AdTech

Atlanta, GA · Hybrid

$175K - $200K/yr

Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning ... Collaborative: Leans on ML engineering for the last mile rather than working solo * Coachable:

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Showing results 21-40

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 Aug 7, 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 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 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
Infographic showing various Reinforcement Learning Engineer job openings in Georgia 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 $97,834 per year, or $47 per hour.

AI Scientist 2

Intuit

Atlanta, GA • On-site

Full-time

Re-posted 2 days ago

Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

87th of 242 rated software companies

Job description

We are seeking an AI Scientist to work with our collaborative and creative group of scientists and engineers to design and implement the next generation AI and machine learning systems that will power our omnichannel marketing platform. In this role, you will develop and deploy modern machine learning and AI models directly in our core product to address key customer challenges. We are looking for someone passionate about the full model development lifecycle, eager to collaborate with product managers to shape innovative AI product experiences, and driven to make a significant impact on our customers.
Responsibilities
  • Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists.
  • Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and implementing solutions that support broader AI initiatives.
  • Collaborate with product managers, software engineers, and designers in designing experiments and minimum viable products, learning to integrate insights from advanced AI systems.
  • Discover, process, and train on huge data sets.
  • In partnership with product managers and analysts, run regular A/B tests, perform statistical analysis, draw conclusions on the impact of your models, and communicate results to peers and leaders.
  • Research and explore new technology shifts, particularly in generative AI and advanced ML, to understand their potential connection with customer benefits and inform ongoing AI strategy.

Qualifications
  • MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.
  • 1+ years of experience in modern AI/ML tools and proficient in Python and typical AI/ML libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus.
  • 1+ years of experience in machine learning techniques such as classification, regression, neural networks, large language models, recommender systems, natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus.
  • Familiar with the latest trends and applications of generative AI including agentic applications.
  • Efficient in SQL
  • Comfortable in a Linux environment
  • Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

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