Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or ...
Quick apply
Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or ...
Director of AI Engineering
Cumming, GA · On-site
$143K - $205K/yr
Deep learning, NLP, generative AI, predictive analytics, reinforcement learning. • MLOps & AI Engineering: Model deployment, cloud-based AI solutions, automation, monitoring, and retraining. • ...
Director of AI Engineering
Cumming, GA · On-site
$143K - $205K/yr
Deep learning, NLP, generative AI, predictive analytics, reinforcement learning. • MLOps & AI Engineering: Model deployment, cloud-based AI solutions, automation, monitoring, and retraining. • ...
Background in deep learning for robotics (motion planning, reinforcement learning, pose estimation). Familiarity with simulation environments (Gazebo, Isaac Sim, PyBullet, or Mujoco). Programming ...
Background in deep learning for robotics (motion planning, reinforcement learning, pose estimation). Familiarity with simulation environments (Gazebo, Isaac Sim, PyBullet, or Mujoco). Programming ...
Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or ...
Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or ...
Sr Data Scientist - Commercial
Atlanta, GA · On-site
$105K/yr
Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or ...
Sr Data Scientist - Commercial
Atlanta, GA · On-site
$105K/yr
Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or ...
Optimize agent behavior through feedback loops, reinforcement learning, or user interaction. * Engineer and manage context for agents to ensure they access the right information at the right time.
Optimize agent behavior through feedback loops, reinforcement learning, or user interaction. * Engineer and manage context for agents to ensure they access the right information at the right time.
Optimize agent behavior through feedback loops, reinforcement learning, or user interaction. * Engineer and manage context for agents to ensure they access the right information at the right time.
Optimize agent behavior through feedback loops, reinforcement learning, or user interaction. * Engineer and manage context for agents to ensure they access the right information at the right time.
Staff Machine Learning Engineer
Atlanta, GA · On-site +1
$220K - $280K/yr
Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection. * Background in Daily Fantasy Sports (DFS), oddsmaking, or ...
Staff Machine Learning Engineer
Atlanta, GA · On-site +1
$220K - $280K/yr
Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection. * Background in Daily Fantasy Sports (DFS), oddsmaking, or ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Senior Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Senior Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Senior Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Senior Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
LLM Engineer (GCP Preferred)
Atlanta, GA · Hybrid
$58 - $60/hr
Familiarity with multi-agent systems and reinforcement learning is a strong plus.
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LLM Engineer (GCP Preferred)
Atlanta, GA · Hybrid
$58 - $60/hr
Familiarity with multi-agent systems and reinforcement learning is a strong plus.
Exposure to advanced ML techniques like deep learning or reinforcement learning. * Knowledge of GPU optimization for accelerating model training processes. Compensation & Benefits * Competitive ...
Exposure to advanced ML techniques like deep learning or reinforcement learning. * Knowledge of GPU optimization for accelerating model training processes. Compensation & Benefits * Competitive ...
Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and ...
Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and ...
AI Scientist 2
Atlanta, GA · On-site
Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and ...
AI Scientist 2
Atlanta, GA · On-site
Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and ...
Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and ...
Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and ...
Provide active supervision and guide behavior through positive reinforcement * Support daily ... Embrace learning, feedback, and ongoing professional growth * Show up reliable, prepared, and ready ...
Provide active supervision and guide behavior through positive reinforcement * Support daily ... Embrace learning, feedback, and ongoing professional growth * Show up reliable, prepared, and ready ...
Reinforcement Learning information
See Georgia salary details
$24.1K - $28K
2% of jobs
$28K - $32K
3% of jobs
$32K - $35.9K
6% of jobs
$35.9K - $39.9K
3% of jobs
$43.4K is the 25th percentile. Wages below this are outliers.
$39.9K - $43.8K
12% of jobs
The median wage is $47.5K / yr.
$43.8K - $47.8K
25% of jobs
$47.8K - $51.7K
12% of jobs
$51.7K - $55.7K
9% of jobs
$56.5K is the 75th percentile. Wages above this are outliers.
$55.7K - $59.6K
12% of jobs
$59.6K - $63.6K
11% of jobs
$63.6K - $67.6K
5% of jobs
$24.1K
$49.3K
$67.6K
How much do reinforcement learning jobs pay per year?
As of Jul 28, 2026, the average yearly pay for reinforcement learning in Georgia is $49,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,600.00 and $57,400.00 per year, depending on experience, location, and employer.
Will MLE be replaced by AI?
In reinforcement learning, machine learning engineers (MLEs) design, implement, and optimize algorithms that enable AI systems to learn from interactions. While AI continues to advance, MLEs play a crucial role in developing and fine-tuning models, and their skills remain essential for deploying effective reinforcement learning solutions. The role is evolving with increased automation, but MLEs are unlikely to be fully replaced in the near term.
What are the common responsibilities of a Reinforcement Learning professional on a daily basis?
A typical day for a Reinforcement Learning professional involves designing and implementing learning algorithms, running experiments, analyzing data, and iterating on models to improve performance. You might collaborate closely with data scientists, software engineers, and product managers to integrate your solutions into broader systems or products. Regular activities also include reading recent research literature and participating in team meetings to discuss progress and obstacles. This dynamic role often balances deep technical work with teamwork to drive innovative applications in areas such as robotics, recommendation systems, or autonomous systems.
What are the key skills and qualifications needed to thrive in the Reinforcement Learning position, and why are they important?
To thrive in a Reinforcement Learning role, you need a solid background in mathematics, statistics, machine learning, and programming (commonly with Python), typically supported by a relevant degree such as in computer science or engineering. Experience with frameworks like TensorFlow, PyTorch, OpenAI Gym, and familiarity with large-scale computing systems are highly valued. Strong problem-solving abilities, curiosity, and effective collaboration and communication skills help you excel in multidisciplinary research and project teams. These capabilities are crucial for designing, implementing, and refining complex algorithms that learn from interaction to solve real-world problems.
What engineers make $500,000?
Senior reinforcement learning engineers with extensive experience, advanced skills in machine learning frameworks, and a strong track record in deploying AI systems can earn salaries around $500,000 or higher, especially in top tech companies or specialized research roles. Compensation often includes base salary, bonuses, and stock options, reflecting expertise in AI, deep learning, and programming languages like Python or C++.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior reinforcement learning engineer or research scientist, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leading projects, developing innovative algorithms, and may require extensive experience and specialized certifications. Compensation at this level reflects the expertise and impact expected in cutting-edge AI development environments.
What is a Reinforcement Learning job?
A Reinforcement Learning (RL) job involves designing, developing, and optimizing algorithms that enable machines to learn from interactions with their environment. RL professionals work on applications in robotics, finance, gaming, and autonomous systems, leveraging techniques like deep reinforcement learning and policy optimization. Responsibilities often include researching new models, implementing RL algorithms, and improving AI performance. Strong programming skills, knowledge of machine learning frameworks, and an understanding of mathematical concepts like probability and optimization are essential.
Which 3 jobs will survive AI?
Reinforcement Learning specialists, data scientists, and AI ethics professionals are likely to remain in demand as AI advances, due to their specialized skills in developing, managing, and overseeing AI systems. These roles require advanced knowledge of algorithms, programming, and ethical considerations, making them less susceptible to automation. Continuous learning and expertise in AI tools and frameworks are essential for long-term job security in these fields.
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 Reinforcement Learning jobs in Georgia? For Reinforcement Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning jobs in Georgia look for? The top searched job categories for Reinforcement Learning jobs in Georgia are:
What cities in Georgia are hiring for Reinforcement Learning jobs? Cities in Georgia with the most Reinforcement Learning job openings:
$105K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 23 days ago
Hertz rating
6.3
Based on 195 frontline employees who took The Breakroom Quiz
136th of 171 rated vehicle equipment hire
Job description
Hertz Revenue Management is seeking a highly motivated, intellectually curious, and talented Sr. Data Scientist to join a team that is responsible for optimizing Hertz's revenue offers. The Sr. Data Scientist will collaborate on designing, delivering, and maintaining proprietary optimization products that result in improved customer offers and increased revenue for Hertz. The role partners across Revenue Management, Pricing, Sales, Product, Distribution, Operations Research, IT, and vendors to identify opportunities, define requirements, provide insights, prototype products, and deliver end-to-end solutions
What You’ll Do:
Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or optimization modeling
Enhance existing analytical tools and develop new solutions/tools based on large data sets
Own and deliver end-to-end solutions, including coordination with stakeholders and IT, implementation, and support
Promote the long-term customer vision that supports Hertz's business strategy as the marketplace evolves, and new products are introduced
Actively develop close relationships and coordinate with commercial business units, Operations Research, Finance, IT and senior management to ensure timely execution of Hertz Revenue Management sponsored projects
Maintain a pulse on industry efforts, disruptive technologies, and champion solutions to further Hertz's position as industry leader
Balance multiple priorities in a fast-paced environment
Understand the interrelationships between Fleet, Pricing, and Revenue Management, and the combined impact on the Hertz Customer experience
Developing the Data Analytics Team
Other duties and tasks as assigned
What We’re Looking For:
Master’s degree in operations research, statistics, computer science, or a related quantitative field required.
2-5 years of industry experience in modeling, data science or operations research required.
Highly proficient communication skills and ability to actively advocate for Hertz Revenue Management solutions across the enterprise
Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/optimization software (e.g. R, SAS, Gurobi, C++, etc.) required.
Experience with big data: processing, filtering, and presenting large quantities of data required.
Ability to understand and work with large, unstructured data sets
Proven success in solving complex quantitative problems
Must be able to work well with diverse groups in a time-sensitive team environment with minimal supervision, be results oriented and able to meet or exceed deadlines with attention to detail and follow through
Demonstrated ability to handle multiple projects through to solution delivery
Consistently prioritizes safety and security of self, others, and personal data.
Embraces diverse people, thinking, and styles.
Preferred Qualifications:
5+ years in operations research, statistics, computer science, or related science field.
Experience with time series forecasting, reinforcement learning, machine learning, or optimization.
Knowledge of revenue management theory or travel industry systems/data
The starting salary for this role is $105K; commensurate with experience.
What You’ll Get:
40% off any standard Hertz Rental
Paid Time Off
Medical, Dental & Vision plan options
Retirement programs, including 401(k) employer matching.
Paid Parental Leave & Adoption Assistance
Employee Assistance Program for employees & family
Educational Reimbursement & Discounts
Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness
Perks & Discounts –Theme Park Tickets, Gym Discounts & more