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Ai Reinforcement Learning Jobs in Georgia (NOW HIRING)

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

Experience building end-to-end machine learning systems and production AI infrastructure highly preferred. * Experience with reinforcement learning, predictive modeling, recommendation systems, or ...

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

Experience building end-to-end machine learning systems and production AI infrastructure highly preferred. * Experience with reinforcement learning, predictive modeling, recommendation systems, or ...

... in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, Operation, claims automation, customer servicing, and risk assessment • Experience ...

Come join our collaborative and creative group of AI scientists and machine learning engineers and ... Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world ...

... Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world ... Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics ...

... Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world ... Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics ...

Come join our collaborative and creative group of AI scientists and machine learning engineers and ... Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world ...

Come join our collaborative and creative group of AI scientists and machine learning engineers and ... Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world ...

Come join our collaborative and creative group of AI scientists and machine learning engineers and ... Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world ...

We are seeking an AI Scientist to work with our collaborative and creative group of scientists and ... Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP ...

We are seeking an AI Scientist to work with our collaborative and creative group of scientists and ... Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP ...

Overview We are seeking an AI Scientist to work with our collaborative and creative group of ... Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP ...

AI agents implement most of our code, which means the development loop (environments, builds, CI ... You follow frontier agentic-systems research (harness design, reinforcement learning from execution ...

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Ai Reinforcement Learning information

What is AI reinforcement learning?

AI reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment. The agent receives feedback in the form of rewards or penalties based on its actions, which it uses to improve its future performance. Reinforcement learning is widely used in applications such as robotics, game playing, recommendation systems, and autonomous vehicles. Unlike supervised learning, RL doesn't require labeled input/output pairs and learns through trial and error.

What are the key skills and qualifications needed to thrive as an AI reinforcement learning specialist?

To thrive as an AI Reinforcement Learning Specialist, you need strong expertise in machine learning, deep learning, and mathematics, usually backed by a degree in computer science, engineering, or a related field. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with RL-specific libraries like OpenAI Gym are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are essential soft skills for excelling in this role. These skills and qualifications are crucial for developing, optimizing, and deploying RL algorithms that solve complex, real-world problems.

What are some common challenges faced by AI reinforcement learning specialists when deploying models in real-world applications?

AI Reinforcement Learning (RL) specialists often encounter challenges such as ensuring the reliability and safety of RL agents outside of controlled environments. Real-world data can be noisy and unpredictable, making it difficult for models trained in simulations to generalize. Additionally, RL algorithms typically require significant computational resources and time for training, which can be a constraint in fast-paced projects. Collaboration with domain experts and software engineers is essential to adapt algorithms to production systems and continuously monitor performance for unexpected behaviors.

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

AspectAi Reinforcement LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of algorithmsDegree in Statistics, Data Science, or related fields; programming skills
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, data analysis teams, consulting firms
Industry UsageAI product development, autonomous systems, roboticsBusiness insights, predictive modeling, data analysis
Common Search/ComparisonYesYes

Ai Reinforcement Learning focuses on developing algorithms that enable machines to learn through trial and error to make decisions. Data Scientists analyze data to extract insights and build predictive models. While both roles require programming skills and a background in data or algorithms, reinforcement learning specialists primarily work on AI systems that learn from interactions, whereas Data Scientists focus on interpreting data to inform business decisions.

What job categories do people searching Ai Reinforcement Learning jobs in Georgia look for?

The top searched job categories for Ai Reinforcement Learning jobs in Georgia are:

What cities in Georgia are hiring for Ai Reinforcement Learning jobs?

Cities in Georgia with the most Ai Reinforcement Learning job openings:

Infographic showing various Ai Reinforcement Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 21% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior AI/ML Scientist

Atlanta, GA • On-site


Blue Cross and Blue Shield of North Carolina
Insurance Services • 5 - 10K employees

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

195th of 311 rated insurance

Good employer

Recommended by parents

Respectful managers


$143K - $229K/yr

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Job Description

Serve as the senior AI/ML scientist to identify, research, and develop transformational predictive, prescriptive, and Generative AI (GenAI) solutions that translate structured and unstructured data into sound organizational decisions. Senior AI/ML scientist will combine statistical expertise, programming skills, and data science knowledge to create impactful self-learning applications and collaborate with multidisciplinary teams to integrate AI technologies into real-world systems and solutions to achieve business goals.

What You Will Do

  • Own delivery of large and/or complex machine learning (ML), deep learning (DL), and Generative AI (GenAI) systems with self-learning capabilities that can adapt and evolve over time.

  • Design, implement, and evaluate artificial intelligence (AI) systems that can be used in production environments to meet business needs.

  • Apply prescriptive analytics techniques such as optimization, recommendation systems, and reinforcement learning to business problems.

  • Lead in the development and testing of appropriate ML algorithms, design & conduct experiments, collect and analyze data, and optimize performance of ML algorithms.

  • Stay updated with the advancements in artificial intelligence, machine learning, and generative AI methods and adapt new methods to effectively solve business problems.

  • Benchmark against existing machine learning methods and analyze results to identify strengths, weaknesses, and areas for improvement.

  • Develop prototypes and proof-of-concept implementations to demonstrate the feasibility and potential of new AI technologies including Generative AI.

  • Lead consultation sessions with business partners to distill the business needs and provide technical guidance on predictive and prescriptive AI approaches, ensuring alignment with business goals.

  • Drive continuous improvement by experimenting with novel techniques and refining existing models.

  • Leverage deep knowledge of software engineering principles in constructing sophisticated ML models and refining existing systems.

  • Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups.

What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 5+ years of experience in related field.

  • In lieu of degree, 7+ years of experience in related field.

#LI-Hybrid

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$143,616.00 - $229,786.00

Skills

Artificial Intelligence (AI), Benchmarking, Best Practices Development, Data Analysis, Data Science, Data Visualization, Deep Learning Algorithms, Machine Learning (ML), Machine Learning Methods, Predictive Algorithms, Prescriptive Analytics, Reinforcement Learning, Statistical Models, Statistics

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JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.



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