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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 ...

Major Tool & Machine

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 ...

Petersen Inc.

AI Engineer

Indianapolis, IN · On-site

$100 - $125/hr

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 ...

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 ...

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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 Sep 9, 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 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 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 can you do with reinforcement learning?

Reinforcement learning is used in roles such as reinforcement learning engineer or researcher to develop algorithms that enable systems to learn optimal actions through trial and error. It is applied in areas like robotics, game playing, autonomous vehicles, and recommendation systems, often requiring skills in programming, data analysis, and understanding of machine learning frameworks. Professionals in this field design, train, and evaluate models to improve decision-making processes in complex environments.

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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 69% Full Time, 28% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $55,520 per year, or $26.7 per hour.

Senior Data Scientist

Indianapolis, IN

Corteva Agriscience
Crop Farming • 10K+ employees
Learn more about Corteva Agriscienceexternal

Full-time

Medical, Retirement, PTO

Posted 7 days ago

Job description

Who are we, and what do we do. At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.

We are seeking a highly skilled Senior Data Scientist with experience in bioprocess control to join our global Data Science team. This role will focus on applying artificial intelligence, machine learning, and statistical modeling to develop adaptive bioprocess control algorithms, optimize bioprocess workflows, improve operational efficiency, and enable data-driven decision-making in manufacturing and R&D environments. What You'll Do: Design and implement adaptive process control strategies, leveraging online measurements and dynamic parameter adjustment for improved productivity and cost savings.

Develop and deploy predictive models for bioprocess optimization, including fermentation and downstream processing. Partner with engineers and scientists to translate process insights into actionable improvements, such as yield enhancement and cost reduction. Analyze high-complexity datasets from bioprocess operations, including sensor data, batch records, and experimental results.

Collaborate with cross-functional teams to integrate data science solutions into plant operations, ensuring scalability and compliance. Communicate findings through clear visualizations, reports, and presentations to technical and non-technical stakeholders. Contribute to continuous improvement of data pipelines and modeling frameworks for bioprocess control.

What Skills You Need: M.S. + 6 years' experience or Ph.D. + 3 years' experience in Data Science, Computer Science, Chemical Engineering, Bioprocess Engineering, Statistics, or related quantitative field

Strong foundation in machine learning, statistical modeling, and process control. Proficiency in Python, R, or another programming language. Excellent communication and collaboration skills; ability to work in multidisciplinary teams.

Preferred Skills: Familiarity with bioprocess workflows, fermentation, and downstream processing. Hands-on experience with bioprocess optimization models and adaptive process control strategies. Experience with industrial data systems and cloud platforms.

Knowledge of reinforcement learning or adaptive experimentation / Bayesian optimization for process improvement. Why Join Us. You will be part of a globally distributed team driving innovation in bioprocess optimization and manufacturing excellence.

This role offers opportunities to work on cutting-edge projects that directly impact productivity, sustainability, and cost efficiency. #LI-BB1 Benefits - How We'll Support You: Numerous development opportunities offered to build your skills Be part of a company with a higher purpose and contribute to making the world a better place Health benefits for you and your family on your first day of employment Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays Excellent parental leave which includes a minimum of 16 weeks for mother and father Future planning with our competitive retirement savings plan and tuition reimbursement program Learn more about our total rewards package here - Corteva Benefits Check out life at Corteva. www.linkedin.com/company/corteva/life Are you a good match

Apply today. We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer.

We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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