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Senior Reinforcement Learning Jobs in Florida (NOW HIRING)

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

... and reinforcement learning). Mentors and trains junior and professional staff members. Data ... Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX ...

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... reinforcement learning, or simulation modeling; exposure to LLM-based ML use cases. What we offer:

... reinforcement learning, and generative AI (e.g., Large Language Models, multi-modal AI), to ... Serve as the senior technical advisor for the team, guiding the use of query languages (SQL ...

Serve as the senior technical advisor on data science, machine learning, and analytics capabilities ... Apply supervised, unsupervised, reinforcement learning, and generative AI techniques, including ...

The Data Scientist will frequently interface with senior stakeholders, providing thought leadership ... Reinforcement Learning. * Implement and maintain feature stores, model monitoring workflows, and ...

The Data Scientist will frequently interface with senior stakeholders, providing thought leadership ... Reinforcement Learning. * Implement and maintain feature stores, model monitoring workflows, and ...

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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 Florida? The most popular types of Reinforcement Learning jobs in Florida are:
What are popular job titles related to Senior Reinforcement Learning jobs in Florida? For Senior Reinforcement Learning jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Senior Reinforcement Learning jobs? Cities in Florida with the most Senior Reinforcement Learning job openings:
Sr Data Scientist - Commercial

Sr Data Scientist - Commercial

Hertz

Estero, FL

$105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Hertz rating

6.3

Company rating: 6.3 out of 10

Based on 195 frontline employees who took The Breakroom Quiz

136th of 170 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


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