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Reinforcement Learning Jobs in Indiana (NOW HIRING)

Varsity Tutors

BCABA Tutor

West Lafayette, IN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Ability to explain reinforcement schedules, functional behavior assessment, and behavior ...

Varsity Tutors

BCABA Tutor

Bloomington, IN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Ability to explain reinforcement schedules, functional behavior assessment, and behavior ...

Varsity Tutors

BCABA Tutor

Indianapolis, IN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Ability to explain reinforcement schedules, functional behavior assessment, and behavior ...

Varsity Tutors

BCABA Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Ability to explain reinforcement schedules, functional behavior assessment, and behavior ...

Varsity Tutors

BCABA Tutor

Valparaiso, IN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Ability to explain reinforcement schedules, functional behavior assessment, and behavior ...

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Reinforcement Learning information

See Indiana salary details

$27.1K

$55.5K

$76.1K

How much do reinforcement learning jobs pay per year?

As of Jul 8, 2026, the average yearly pay for reinforcement learning in Indiana is $55,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $64,700.00 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 Indiana? The most popular types of Reinforcement Learning jobs in Indiana are:
What are popular job titles related to Reinforcement Learning jobs in Indiana? For Reinforcement Learning jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning jobs in Indiana look for? The top searched job categories for Reinforcement Learning jobs in Indiana are:
Reinforcement Learning jobs near you
Infographic showing various Reinforcement Learning job openings in Indiana as of July 2026, with employment types broken down into 2% Internship, 60% Full Time, 33% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $55,520 per year, or $26.7 per hour.

Lead & Assistant PreSchool Teacher (East Location)

Little Duckling Early Learning Schools

Indianapolis, IN • On-site

$14.75 - $19.25/hr

Full-time

Re-posted 24 days ago

Job description

Little Duckling is seeking a passionate and dedicated Lead and Assistant Pre-School Teachers to join our dynamic team. In this role, you will help create a nurturing, fun, and positive environment that promotes the development and well-being of three-year-olds, all while adhering to state criteria, Paths to Quality standards, and Little Duckling standards. You will work alongside your co-teacher to implement and adapt lessons to meet the individual needs of each child, contributing to a warm, supportive, and interactive learning environment.
Key Responsibilities:
  • Create a Fun & Engaging Environment: Assist in building a classroom where children are excited to explore, learn, and interact with their peers. Bring enthusiasm and creativity to everyday activities!
  • Support Co-Teacher & Team: Collaborate with the co-teacher and other team members to create a cohesive and supportive environment. Help out wherever needed and contribute to the overall success of the team.
  • Follow State Criteria & Standards: Ensure compliance with state licensing requirements, Paths to Quality standards, and Little Duckling's specific policies and procedures.
  • Assist in Lesson Implementation: Help execute lesson plans that foster age-appropriate developmental growth. Be flexible and adapt lessons to fit the needs and interests of individual children.
  • Promote Developmental Growth: Encourage physical, social, emotional, and cognitive growth in children through engaging, hands-on activities and positive reinforcement.
  • Communication with Parents: Support communication with parents, providing updates on their child's progress and experiences in the classroom.
  • Ensure Safety & Well-Being: Supervise children at all times, ensuring a safe, secure, and welcoming environment for play and learning.

Qualifications:
  • Experience in early childhood education, particularly working with three-year-olds, is preferred.
  • Energetic, fun, and proactive, with the ability to adapt to the needs of individual children and contribute positively to the team.
  • Able to follow lesson plans and be flexible to adjust activities as needed.
  • Familiarity with state licensing criteria and Paths to Quality standards, or willingness to learn.
  • Patience working with pre-schoolers who are still learning to manage themselves and require consistency.
  • Strong communication skills and the ability to work collaboratively with parents and team members.
  • CPR and First Aid certification (or willingness to obtain).
  • A genuine passion for early childhood education and helping children grow and thrive!

Why Join Us?
At Little Duckling, we value our team and foster a collaborative, fun, and supportive work environment. We offer competitive pay, opportunities for professional growth, and the chance to make a meaningful impact in the lives of young children. Join us and be part of a team that makes a difference every day!

Apply