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Reinforcement Learning Jobs in Kentucky (NOW HIRING)

... reinforcement and behavior shaping procedures. * Review, analyze, evaluate, and report pupil ... Maintain an effective learning environment through the utilization of exhibits, displays, and ...

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Reinforcement Learning information

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$24.8K

$50.7K

$69.5K

How much do reinforcement learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for reinforcement learning in Kentucky is $50,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,900.00 and $59,100.00 per year, depending on experience, location, and employer.

What does a reinforcement learning professional do?

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?

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 is a reinforcement learning?

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.

What are the most commonly searched types of Reinforcement Learning jobs in Kentucky?

The most popular types of Reinforcement Learning jobs in Kentucky are:

Infographic showing various Reinforcement Learning job openings in Kentucky as of August 2026, with employment types broken down into 63% Full Time, 28% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $50,675 per year, or $24.4 per hour.

Sales Enablement & Trainer

DPL Financial Partners

Louisville, KY โ€ข On-site

Full-time

Re-posted 24 days ago


Job description

Job Title: Sales Enablement & TrainerReports to: Head of Sales Operations & EnablementLocation: Louisville, KY highly preferred; Remote considered for right candidate POSITION OVERVIEWThe Sales Enablement & Trainer is responsible for onboarding, training, reinforcement, field readiness, and ongoing advisor and seller effectiveness across the revenue organization. This is a new headcount role built to ensure every member of the sales team - from day one onward - has the knowledge, tools, and confidence to perform at the highest level. The ideal candidate is a high-energy builder who thrives creating scalable programs in fast-moving environments. This role requires someone who can move quickly from concept to execution, build from a blank page without waiting for perfect conditions, and continuously iterate based on field feedback. Wealth management, financial services, or advisor-facing experience is a meaningful advantage. WHAT YOU WILL OWNNew Hire OnboardingOwn end-to-end onboarding for all new sales and advisor-facing hiresDesign structured onboarding programs that accelerate time-to-productivity and reduce ramp timeEnsure new hires are fully prepared across products, positioning, systems, sales process, and advisor conversation frameworks before they hit the fieldContinuously improve onboarding based on cohort performance data and manager feedback Training & Continuous LearningBuild and maintain training curriculum covering products, investment positioning, sales methodology, platform usage, and compliance requirementsRun recurring enablement sessions, field communications, and reinforcement programsCreate scalable learning pathways for different roles, tenure levels, and development needsTrack completion rates, knowledge retention, and field application metrics to continuously improve program effectiveness Playbooks, Battlecards & Field ResourcesBuild and maintain sales playbooks, competitive battlecards, objection-handling guides, and advisor conversation frameworksEnsure all field resources are current, accessible, and aligned with current messaging and positioningPartner with Marketing and Product on launch readiness materials and field communication rollouts Field Readiness & Coaching SupportGather continuous feedback from the field to identify training gaps, messaging inconsistencies, and development opportunitiesPartner with sales leadership and RVPs to support individual and team coaching prioritiesSupport launch readiness for new products, campaigns, and go-to-market initiativesHelp improve seller and advisor confidence, consistency, and client engagement quality WHAT WE ARE LOOKING FORRequired3–8 years in Sales Enablement, Training, Learning & Development, or Sales SupportExperience building onboarding and training programs - not just delivering existing curriculumStrong communication and facilitation skills; able to hold a room and drive engagementAbility to simplify complex products and concepts into clear, actionable learning programsHigh execution velocity - must move fast and build without waiting for perfect conditionsDemonstrated comfort operating in growth-stage, high-ambiguity environments PreferredFinancial services, insurance, fintech, or wealth management experience - particularly advisor-facing or distribution environmentsFamiliarity with LMS platforms and sales enablement technologyExperience building investment or product training programs for field distribution teamsTrack record creating playbooks and competitive resources used and adopted by the field COMPENSATIONCompetitive base salary and performance bonus. Compensation commensurate with experience. 
Job Posted by ApplicantPro