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Reinforcement Learning Jobs in Iowa (NOW HIRING)

BCABA Tutor

Iowa City, IA ยท 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 ...

BCABA Tutor

Ames, IA ยท 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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Showing results 1-20

Reinforcement Learning information

See Iowa salary details

$26.8K

$54.8K

$75.1K

How much do reinforcement learning jobs pay per year?

As of Jul 7, 2026, the average yearly pay for reinforcement learning in Iowa is $54,803.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $63,900.00 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 popular job titles related to Reinforcement Learning jobs in Iowa? For Reinforcement Learning jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Reinforcement Learning jobs? Cities in Iowa with the most Reinforcement Learning job openings:
Infographic showing various Reinforcement Learning job openings in Iowa as of July 2026, with employment types broken down into 2% Internship, 59% Full Time, 33% Part Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $54,803 per year, or $26.3 per hour.
Cognitive Analytics Engineer

Cognitive Analytics Engineer

Corteva Agriscience

Des Moines, IA โ€ข On-site

Full-time

Medical, Retirement, PTO

Posted 24 days ago


Job description

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.
***Please note: there is no visa sponsorship provided for this role.
We're looking for a Cognitive Analytics Engineer to join our Artificial Intelligence in Breeding group. You'll work at the intersection of agentic AI systems, simulation, and reinforcement learning - building and deploying the intelligent systems that enable breeding teams to optimize complex, multi-stage decisions through digital twin environments and AI-driven orchestration.
This role is central to our cognitive analytics strategy: you'll help build and deploy the agentic systems and digital twin environments that enable teams to seamlessly integrate simulation, reinforcement learning, and AI-powered decision tools into breeding pipelines and workflows. You'll partner with scientists and engineering stakeholders to deploy these systems to our breeding teams across crops and geographies.
Who You Are:
You're a systems-minded AI engineer who thinks natively in terms of agents, environments, and optimization. You're comfortable building the infrastructure that makes agentic workflows reliable and scalable, and you have the theoretical grounding to reason about reinforcement learning formulations, simulation fidelity, and reward design. You thrive in collaborative, cross-disciplinary teams and can translate between ML research and production engineering.
What You'll Do:
  • Build and maintain agentic AI systems that orchestrate analytics, simulation, and decision workflows for breeding pipelines, guiding solutions from prototype through production deployment
  • Implement and optimize digital twin components for use with agentic inference systems and reinforcement learning training pipelines
  • Develop and train reinforcement learning agents that optimize breeding pipeline strategy
  • Collaborate with scientists and domain experts to address breeding challenges with agentic-driven solutions leveraging simulation and deterministic optimization
  • Architect for scale and deployment - distributed training, efficient orchestration, and production-grade reliability of AI systems

What Skills You Need:
  • Master's degree in computer science, machine learning, or a related field (or equivalent practical experience), with 3-5 years of relevant experience
  • Strong Python skills with computational and scientific libraries
  • Experience with deep learning frameworks (e.g. PyTorch, JAX)
  • Experience with reinforcement learning frameworks and theory
  • Experience with simulation environments or digital twin systems
  • Experience with deployment of orchestrated agents and associated components (e.g. MCP, ACP)
  • Experience with distributed training and efficient AI orchestration
  • Strong communication skills - able to bridge AI/ML concepts with domain scientists and cross-functional teams
  • Experience with Linux and Docker

What Makes You Stand Out:
  • Experience with LLM-based agent architectures, tool-use orchestration, or multi-agent systems
  • Experience designing or building custom reinforcement learning environments for real-world decision problems
  • AWS/Kubernetes experience
  • Experience with compiled languages (e.g. C++, Rust) for performance optimization
  • Background in plant breeding, genetics, agriculture, or related domains - candidates with reinforcement learning and simulation backgrounds in other complex decision domains (robotics, operations research, autonomous systems) are encouraged to apply

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.