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Reinforcement Learning Jobs in Indiana (NOW HIRING)

Precinmac

AI Engineer

Indianapolis, IN · On-site

Experience - * Experience with Generative AI, AI Agents, or Reinforcement Learning * Python proficiency and experience with major ML frameworks and AI platforms * Experience in a regulated ...

Becton, Dickinson and Company

Equip frontline leaders and regional teams with tools and reinforcement mechanisms to sustain learning application and behavior change. * Influence senior stakeholders without direct authority to ...

New

Next Step Learning

Tutor

Mishawaka, IN · On-site

Our Instructors implement positive-reinforcement strategies that maximize learning, in a cheerful, authentic, and emotionally intelligent manner. Successful candidates may have background in ...

Next Step Learning

Tutor

Mishawaka, IN · On-site

Our Instructors implement positive-reinforcement strategies that maximize learning, in a cheerful, authentic, and emotionally intelligent manner. Successful candidates may have background in ...

Salesforce, Inc.

Principal Architect

Indianapolis, IN · On-site +1

... loops, reinforcement learning edge harnesses, cloud platforms and advanced AI architectures. Whether you hold a Ph.D. in Computer Science/AI, designed orchestration systems or have pioneered ...

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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 Jun 15, 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.

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.

Who earns more, AI or ML engineer?

Reinforcement Learning engineers, a specialized subset of AI and ML engineers, tend to earn higher salaries due to their advanced skills in developing algorithms for decision-making systems. Overall, AI engineers generally have higher average salaries than ML engineers, but salaries vary based on experience, location, and industry. Both roles require strong programming skills and knowledge of machine learning frameworks.

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 approaching or exceeding $500,000, especially in high-cost-of-living areas or within leading tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized expertise and impact on product development.

Which 5 jobs will survive AI?

Reinforcement Learning specialists, data scientists, AI researchers, software engineers, and cybersecurity analysts are likely to continue thriving as AI advances, due to their expertise in developing, managing, and securing AI systems. These roles require advanced technical skills, problem-solving abilities, and ongoing learning to adapt to evolving technologies.

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 help ensure job security in this evolving field.
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 June 2026, with employment types broken down into 28% Internship, and 72% Full Time. Highlights an 100% In-person job distribution, with an average salary of $55,520 per year, or $26.7 per hour.

ML Engineer

Futran Tech Solutions Pvt. Ltd.

Indianapolis, IN • On-site

Full-time

Posted 19 days ago

Job description

Note: Machine Learning Algorithms + Data Modeling and Evaluation +Reinforcement learning
Key Skills:
  • Proficient in Python.
  • Strong background in data analytics and machine learning. Algorithm design and available algorithms (Random forest, etc.).
  • 3 yrs experience in developing data driven classification or regression models/algorithm in HVAC and building or relevant areas.
  • Good to have - Knowledge of vapor compression cycle, heat transfer and thermodynamics.

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