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Postdoctoral In Reinforcement Learning Jobs in Tampa, FL

Graham Technologies

Data Scientist

Tampa, FL · On-site

... reinforcement learning techniques. * Design and implement anomaly detection models utilizing ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations ...

Graham Tech

Data Scientist

Tampa, FL · On-site

$120 - $190/hr

... reinforcement learning techniques. * Design and implement anomaly detection models utilizing ... Master\'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ...

New

Graham Technologies

Data Scientist

Tampa, FL

... reinforcement learning techniques. * Design and implement anomaly detection models utilizing ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations ...

Graham Technologies

Data Scientist

Tampa, FL · On-site

... reinforcement learning techniques. Design and implement anomaly detection models utilizing ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations ...

Venatore Llc

Data Scientist Lead

Tampa, FL · On-site

Apply supervised, unsupervised, reinforcement learning, and generative AI techniques, including ... Participate in governance boards, technical working groups, and strategic planning forums.

Pwc

AI & GenAI Data Scientist-Senior Associate

Tampa, FL · On-site

$77K - $202K/yr

... in neural network design and reinforcement learning agents - Applying natural language processing techniques for text analytics - Leveraging TensorFlow and Scikit-Learn for deep learning projects ...

Humana

Lead Data Scientist

Tampa, FL · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications * Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional ...

Humana

Lead Data Scientist

Tampa, FL · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications * Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional ...

Humana

Lead Data Scientist

Tampa, FL · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications * Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional ...

Zoom Room Ybor

Dog Trainer

Tampa, FL · On-site

$16 - $18/hr

... in dog training or related fields - Strong knowledge of dog behavior, learning theory, and positive reinforcement training methods - Excellent communication and customer service skills - Ability to ...

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All JobsPostdoctoral In Reinforcement Learning JobsPostdoctoral In Reinforcement Learning Jobs in Tampa, FL

Postdoctoral In Reinforcement Learning information

See Tampa, FL salary details

$23.6K

$55.8K

$78.9K

How much do postdoctoral in reinforcement learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for postdoctoral in reinforcement learning in Tampa, FL is $55,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,300.00 and $62,800.00 per year, depending on experience, location, and employer.

What is the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?

AspectPostdoctoral In Reinforcement LearningPostdoctoral In Machine Learning
Required CredentialsPhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learningPhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning
Work EnvironmentAcademic labs, research institutions, industry R&D teams focused on reinforcement learning applicationsAcademic labs, research institutions, industry R&D teams working on various machine learning techniques
Industry UsagePrimarily in AI research, robotics, gaming, and autonomous systemsBroader applications including data analysis, predictive modeling, and AI research

Postdoctoral In Reinforcement Learning specializes in research related to decision-making algorithms and autonomous systems, whereas Postdoctoral In Machine Learning covers a wider range of AI techniques. Both roles require similar credentials but differ in focus and application areas.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in reinforcement learning?

To thrive as a Postdoctoral Researcher in Reinforcement Learning, you need a PhD in computer science or a related field, with deep expertise in machine learning, statistics, and algorithm development. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with reinforcement learning libraries are typically required. Strong analytical thinking, problem-solving ability, collaboration, and scientific communication skills help you excel in research teams and publish impactful work. These competencies are vital to advancing state-of-the-art research, developing novel algorithms, and contributing to the academic and industrial progress in AI.

What are some common challenges faced by postdoctoral researchers in reinforcement learning, and how can they be addressed?

Postdoctoral researchers in reinforcement learning often face challenges such as balancing independent research projects with collaborative work, staying up-to-date with rapidly evolving literature, and managing the pressure to publish in top conferences. Effective time management, regular engagement with the research community through seminars and workshops, and seeking mentorship from senior colleagues can help address these challenges. Additionally, collaborating with interdisciplinary teams can offer fresh perspectives and support, making it easier to navigate complex research problems.

What is a postdoctoral researcher in reinforcement learning?

A Postdoctoral Researcher in Reinforcement Learning is an individual who has completed a PhD and conducts advanced research in the field of reinforcement learning, a branch of artificial intelligence focused on how agents take actions in environments to maximize rewards. These researchers often work in academic, industrial, or governmental research settings, collaborating on projects that advance the theoretical foundations or practical applications of reinforcement learning. Their responsibilities may include designing experiments, developing algorithms, publishing papers, and mentoring graduate students.
What are popular job titles related to Postdoctoral In Reinforcement Learning jobs in Tampa, FL? For Postdoctoral In Reinforcement Learning jobs in Tampa, FL, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Tampa, FL look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Tampa, FL are:
What cities near Tampa, FL are hiring for Postdoctoral In Reinforcement Learning jobs? Cities near Tampa, FL with the most Postdoctoral In Reinforcement Learning job openings:
Postdoctoral In Reinforcement Learning jobs near you

Data Scientist

Graham Technologies | We apply the latest technologies to build Forward Momentum.

Tampa, FL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Graham Technologies is seeking a highly skilled Data Scientist to develop advanced machine learning, predictive analytics, and artificial intelligence solutions that enhance logistics planning, sustainment operations, and enterprise decision-making. This role focuses on building scalable analytics solutions, predictive models, and interactive business intelligence capabilities that enable data-driven decision-making within a complex, mission-focused environment.

LocationTampa, Florida

Responsibilities

  • Develop, validate, deploy, and maintain machine learning and predictive analytics models supporting logistics and sustainment operations.
  • Build demand forecasting models utilizing statistical techniques including time-series analysis, ARIMA, and exponential smoothing.
  • Develop machine learning models using algorithms such as Random Forest, Gradient Boosting, XGBoost, and reinforcement learning techniques.
  • Design and implement anomaly detection models utilizing clustering algorithms, DBSCAN, autoencoders, and other unsupervised learning methods.
  • Develop inventory optimization and resource allocation models utilizing statistical analysis and optimization techniques.
  • Analyze structured and unstructured enterprise datasets to identify trends, patterns, and operational risks.
  • Perform data preparation, feature engineering, and model validation to improve predictive performance.
  • Collaborate with Data Engineers to optimize enterprise data pipelines and cloud-based analytics environments.
  • Develop executive dashboards, operational scorecards, and interactive visualizations using Power BI, Tableau, Qlik, or similar business intelligence platforms.
  • Present analytical findings and recommendations to technical teams, program leadership, and Government stakeholders.
  • Develop technical documentation including model specifications, analytical methodologies, user guides, and standard operating procedures.
  • Conduct knowledge transfer sessions and provide training to Government personnel on analytical models and business intelligence tools.
  • Monitor model performance and continuously improve deployed AI/ML solutions.
  • Support Agile software development activities including sprint planning, backlog refinement, demonstrations, and peer reviews.
  • Collaborate across multidisciplinary teams to deliver enterprise analytics solutions supporting mission objectives.
Required Qualifications
  • Active Top Secret with the ability to attain a SCI.
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline.
  • Minimum five (5) years of professional experience developing predictive analytics, machine learning, or artificial intelligence solutions.
  • Strong programming experience using Python.
  • Experience using R for statistical analysis.
  • Experience developing and deploying machine learning models.
  • Experience using TensorFlow, PyTorch, or similar machine learning frameworks.
  • Experience with predictive analytics and statistical modeling.
  • Experience analyzing large, complex enterprise datasets.
  • Experience with SQL and relational databases.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent written, verbal, and presentation skills.
Preferred Qualifications
  • Experience supporting Department of Defense or Federal Government programs.
  • Experience supporting logistics, supply chain, sustainment, readiness, or operational analytics.
  • Experience with Databricks and Apache Spark.
  • Experience with cloud-based AI/ML environments in AWS or Azure.
  • Experience developing executive dashboards and business intelligence solutions.
  • Experience with optimization algorithms, linear programming, or supply chain modeling.
  • Experience with geospatial analytics or operational planning tools.
  • AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, or similar cloud certification.
  • Security+ or other DoD 8570/8140 certification.
Compensation

At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity.

Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.

Here are just a few highlights of what we offer:

  • Four Weeks of Accrued PTO in the First Year
  • Eleven Paid Federal Holidays
  • Comprehensive Health, Dental, Vision, and Life Insurance
  • 401(k) Plan with Annual Employer Contributions
  • Flexible Schedules
  • Reimbursements for Continued Education and Training

Why Graham Technologies?

Our core values define who we are:

  • Value our Customers
  • Care about our Employees
  • Passionate about Innovation
  • Believe in a Strong Work Ethic
  • Rely on Teamwork
  • Integrity Matters

Founded in 2007, GTech is a consulting services firm passionate about delivering tailored solutions that meet our clients' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do.

We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we've built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.


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