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Reinforcement Learning Jobs in Vermont (NOW HIRING)

Little Tots Academy

Early Childhood Educator

Richmond, VT · On-site

$20 - $25/hr

Foster social and emotional development through positive reinforcement and guidance * Develop and implement classroom activities based on developmentally appropriate practices and early learning ...

Petco

Dog Trainer

Burlington, VT

Your expertise in modern dog training techniques and positive reinforcement methods will help pet ... Complete all assigned Workday Learning modules and DTIP Student Workbook materials per the DTIP ...

Petco

Dog Trainer

Burlington, VT · On-site

Your expertise in modern dog training techniques and positive reinforcement methods will help pet ... Complete all assigned Workday Learning modules and DTIP Student Workbook materials per the DTIP ...

All JobsReinforcement Learning JobsReinforcement Learning Jobs in Vermont

Reinforcement Learning information

See Vermont salary details

$30.3K

$62K

$85.1K

How much do reinforcement learning jobs pay per year?

As of Jul 17, 2026, the average yearly pay for reinforcement learning in Vermont is $62,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $72,300.00 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 Vermont? The most popular types of Reinforcement Learning jobs in Vermont are:
What are popular job titles related to Reinforcement Learning jobs in Vermont? For Reinforcement Learning jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning jobs in Vermont look for? The top searched job categories for Reinforcement Learning jobs in Vermont are:
Reinforcement Learning jobs near you
Infographic showing various Reinforcement Learning job openings in Vermont as of July 2026, with employment types broken down into 2% Internship, 59% Full Time, 34% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $62,037 per year, or $29.8 per hour.
Early Childhood Educator

Early Childhood Educator

Little Tots Academy

Richmond, VT • On-site

$20 - $25/hr

Full-time

Retirement, PTO

Posted 27 days ago

Job description


About This Role

Little Tot’s Academy is an early childhood education program designed to meet the developmental needs of children six weeks to school age. The emphasis of our program is on encouraging creative and expressive play through skill based learning. We are searching for Educators who will provide children with a broad range of opportunities that will enable them to build a solid foundation for their future. Educators will support children through age appropriate projects, hands-on activities, and imaginative play. Educators will support children by guiding them through how to develop social skills, how to cope with feelings, and learn various techniques to successfully navigate normal experiences of childhood. Educators will encourage experimental learning, play, curiosity, and inquisitiveness. These skills will support children to be successful in school and throughout their life.


What You'll Do
  • Provide a safe and nurturing environment for children to learn and grow
  • Foster social and emotional development through positive reinforcement and guidance
  • Develop and implement classroom activities based on developmentally appropriate practices and early learning standards
  • Lead by example; encourage teaching team success through modeling and coaching
  • Plan individual and group age-appropriate activities to actively engage children and encourage social, cognitive and emotional growth
  • Maintain frequent communications with parents through informal discussions, progress reports, and parent-teacher conferences
  • Follow all state regulations and company policies
  • Ability to have fun

Requirements
  • High energy and the ability to work well with others (staff, children, and parents) and to foster a team environment
  • A strong understanding of child development
  • Infant/child CPR and First Aid certification, orientation training, and mandating reporting training
  • Must clear full background check to include fingerprinting
  • Excellent leadership, organizational, and interpersonal skills
  • Minimum of 1 year of professional child care experience

Nice To Haves
  • Experience working with children from birth through preschool
  • Desire to make a difference in the lives of children
  • Strong work ethics
  • Desire to continue education or willingness to learn

Benefits
  • Employee discount
  • Professional development assistance
  • Access to retirement benefits
  • Vacation time accrues up to one week per year with each paycheck
  • Sick/personal time accrues up to one week per year with each paycheck
  • Paid holidays
  • In addition we are closed one week in July for Summer break and one week in December for Winter break.
  • Paid professional development days
  • Half days are scheduled throughout the year for educators to plan/prep curriculum in their classroom