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Senior Reinforcement Learning Jobs in Georgia (NOW HIRING)

Sr Data Scientist - Commercial

Atlanta, GA · On-site

$94.50 - $115.50/hr

... reinforcement learning, or optimization modeling * Enhance existing analytical tools and develop ... senior management to ensure timely execution of Hertz Revenue Management sponsored projects

Overview Intuit is looking for innovative and hands-on Senior Staff AI Scientist to join the Intuit ... Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world ...

Intuit is looking for innovative and hands-on Senior Staff AI Scientist to join the Intuit AI team ... Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world ...

Intuit is looking for innovative and hands-on Senior Staff AI Scientist to join the Intuit AI team ... Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world ...

As a Senior Associate, you will focus on building meaningful client connections and learning how to ... and reinforcement learning agents - Applying natural language processing techniques for text ...

Senior ML Engineer II

Atlanta, GA · On-site

$120 - $160/hr

Overview We are seeking a highly skilled and innovative Senior ML Engineer with a passion for ... reinforcement learning techniques, as well as deep learning architectures. Strong experience with ...

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

As a Senior Data Scientist, you will lead and innovate within the data science team to drive ... reinforcement learning, information retrieval, and natural language processing (NLP). * Highly ...

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $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.

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $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.

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $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.

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 ...

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 ...

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 ...

You follow frontier agentic-systems research (harness design, reinforcement learning from execution ... Small and senior by design. No separate QA function, no scrum masters; quality comes. Success in ...

... senior scientists. * Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on ...

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Showing results 1-20

Senior Reinforcement Learning information

What are some common challenges faced by senior reinforcement learning professionals when deploying models in real-world environments?

Senior Reinforcement Learning professionals often encounter challenges such as ensuring model robustness when transferring algorithms from simulated to real-world environments, handling limited or noisy data, and managing the computational demands of training complex models. Additionally, safety and interpretability are critical, as real-world deployments can have significant impacts if models behave unpredictably. Close collaboration with domain experts and engineering teams is essential to address these challenges and ensure successful, scalable deployments.

What are the key skills and qualifications needed to thrive as a senior reinforcement learning engineer, and why are they important?

To thrive as a Senior Reinforcement Learning Engineer, you need deep expertise in machine learning, reinforcement learning algorithms, and programming languages such as Python, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and RL-specific libraries, as well as experience with high-performance computing and cloud platforms, is typically required. Strong problem-solving abilities, collaboration, and communication skills help distinguish top performers in this role. These skills ensure the development of efficient, robust RL models and effective teamwork on complex AI projects.

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

AspectSenior Reinforcement LearningData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; experience with RL frameworksDegree in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, AI teams, tech companies focusing on ML projectsBusiness analytics, data analysis, and modeling in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, marketing, tech, and more

While both roles require strong analytical skills and technical knowledge, Senior Reinforcement Learning specialists focus on developing RL algorithms and models, often in AI research settings. Data Scientists analyze data to inform business decisions across industries. The roles overlap in data handling and programming but differ in their core focus and application areas.

What does a senior reinforcement learning engineer do?

A Senior Reinforcement Learning Engineer designs, develops, and implements advanced machine learning algorithms that enable systems to learn optimal behaviors through trial and error. They work on complex problems such as robotics, game AI, recommendation systems, and automated decision-making. In addition to coding and model development, they often lead research initiatives, collaborate with cross-functional teams, and mentor junior engineers. Their role requires deep knowledge of reinforcement learning theory, practical experience with machine learning frameworks, and strong programming skills.
What are the most commonly searched types of Reinforcement Learning jobs in Georgia? The most popular types of Reinforcement Learning jobs in Georgia are:
What are popular job titles related to Senior Reinforcement Learning jobs in Georgia? For Senior Reinforcement Learning jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Senior Reinforcement Learning jobs? Cities in Georgia with the most Senior Reinforcement Learning job openings:

$143K - $229K/yr

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Medical, Retirement, PTO

Re-posted 10 days ago


Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

189th of 304 rated insurance


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

_____________________________________________________________________
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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