ZipRecruiter

Log In

1

Reinforcement Learning Engineer Jobs in Georgia (NOW HIRING)

AEG

Staff Machine Learning Engineer

Atlanta, GA · On-site

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing ...

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing ...

ABM Industries, Inc.

Director of AI Engineering

Cumming, GA · On-site

$143.50K - $205K/yr

Deep learning, NLP, generative AI, predictive analytics, reinforcement learning. • MLOps & AI Engineering: Model deployment, cloud-based AI solutions, automation, monitoring, and retraining. • ...

Intuit

Staff AI Scientist

Atlanta, GA

Come join our collaborative and creative group of AI scientists and machine learning engineers and ... Reinforcement Learning, or Deep Learning) to real-world problems and datasets. * Runs A/B tests to ...

Intuit

Staff AI Scientist

Atlanta, GA · On-site

Come join our collaborative and creative group of AI scientists and machine learning engineers and ... Reinforcement Learning, or Deep Learning) to real-world problems and datasets. * Runs A/B tests to ...

Intuit

Staff AI Scientist

Atlanta, GA

Come join our collaborative and creative group of AI scientists and machine learning engineers and ... Reinforcement Learning, or Deep Learning) to real-world problems and datasets. * Runs A/B tests to ...

Intuit

Senior Staff AI Scientist

Atlanta, GA · On-site

Come join our collaborative and creative group of AI scientists and machine learning engineers and ... Reinforcement Learning, or Deep Learning) to real-world problems and datasets. * Runs A/B tests to ...

Intuit

Senior Staff AI Scientist

Atlanta, GA

Come join our collaborative and creative group of AI scientists and machine learning engineers and ... Reinforcement Learning, or Deep Learning) to real-world problems and datasets. * Runs A/B tests to ...

Intuit

Senior Staff AI Scientist

Atlanta, GA · On-site

Come join our collaborative and creative group of AI scientists and machine learning engineers and ... Reinforcement Learning, or Deep Learning) to real-world problems and datasets. * Runs A/B tests to ...

Crew Career Center

Senior ML Engineer II

Atlanta, GA · On-site

$100.50K - $138K/yr

ABOUT THIS POSITION We are seeking a highly skilled and innovative Senior ML Engineer with a ... unsupervised, and reinforcement learning techniques, as well as deep learning architectures.

Waystar

Senior ML Engineer II

Atlanta, GA · On-site

$100.50K - $138K/yr

ABOUT THIS POSITION We are seeking a highly skilled and innovative Senior ML Engineer with a ... unsupervised, and reinforcement learning techniques, as well as deep learning architectures.

Patientco

Senior ML Engineer II

Atlanta, GA

$100.50K - $138K/yr

ABOUT THIS POSITION We are seeking a highly skilled and innovative Senior ML Engineer with a ... unsupervised, and reinforcement learning techniques, as well as deep learning architectures.

Hertz

Director, Fleet AI Engineering

Atlanta, GA · On-site +1

$130K/yr

The Director, Fleet AI Engineering will define, build, and scale AI/ML solutions that drive ... Solid grasp of supervised/unsupervised learning and reinforcement learning / sequential decision ...

Hertz

Director, Fleet AI Engineering

Atlanta, GA · On-site

$130K/yr

The Director, Fleet AI Engineering will define, build, and scale AI/ML solutions that drive ... Solid grasp of supervised/unsupervised learning and reinforcement learning / sequential decision ...

next page

Showing results 1-20

People also search for

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 May 29, 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 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 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 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 May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $97,834 per year, or $47 per hour.

Staff Machine Learning Engineer

AEG

Atlanta, GA • On-site

$220K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems. What you'll do:
  • Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production services.
  • Real-Time Inference at Scale: Steer the design and deployment of low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
  • Feature Engineering & Data Strategy: Partner with Data Science to build scalable logging and data pipelines. You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
  • End-to-End MLOps Leadership: Champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability tools to ensure data drift and model degradation are caught and addressed instantly.
What you have:
  • 7+ years of experience in Machine Learning Engineering or Backend Engineering, with a proven track record of deploying and maintaining complex ML models in high-traffic production environments.
  • 3+ years of technical leadership, acting as a lead and driving architecture decisions for consumer applications or scalable backend platforms.
  • Experience with Real-Time Data: Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in < 100ms.
  • MLOps Expertise: Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like MLFlow, Kubeflow, Databricks, or SageMaker.
  • Strong Coding Skills: Expert in Python and SQL; proficiency in Go, C++, or Rust is a strong plus for building high-performance inference layers.
  • Cloud Native: Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalents.
What makes you stand out:
  • Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection.
  • Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
  • Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams.
Where you'll live:
  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks: The typical salary range for this position is $220,000 to $280,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. Date Posted: 4/16/2026
Benefits you'll receive: In addition to your great compensation package, full-time employees will be eligible for the following perks:
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development
You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

View All AEG Jobs

Apply