You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor's end-to-end hybrid workforce training platform.
You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor's end-to-end hybrid workforce training platform.
You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor's end-to-end hybrid workforce training platform.
You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor's end-to-end hybrid workforce training platform.
AI Developer
West Des Moines, IA · On-site
... g., via reinforcement learning or planning algorithms), and action execution components. * Develop and train machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn to ...
Quick apply
AI Developer
West Des Moines, IA · On-site
... g., via reinforcement learning or planning algorithms), and action execution components. * Develop and train machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn to ...
You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor's end-to-end hybrid workforce training platform.
You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor's end-to-end hybrid workforce training platform.
You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor's end-to-end hybrid workforce training platform.
You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor's end-to-end hybrid workforce training platform.
Artificial Intelligence (AI) Tutor
Ames, IA · Remote
$18 - $40/hr
Deep knowledge of machine learning algorithms, neural networks, natural language processing, computer vision, reinforcement learning, search algorithms, knowledge representation, probabilistic ...
Artificial Intelligence (AI) Tutor
Ames, IA · Remote
$18 - $40/hr
Deep knowledge of machine learning algorithms, neural networks, natural language processing, computer vision, reinforcement learning, search algorithms, knowledge representation, probabilistic ...
Artificial Intelligence (AI) Tutor
Iowa City, IA · Remote
$18 - $40/hr
Deep knowledge of machine learning algorithms, neural networks, natural language processing, computer vision, reinforcement learning, search algorithms, knowledge representation, probabilistic ...
Artificial Intelligence (AI) Tutor
Iowa City, IA · Remote
$18 - $40/hr
Deep knowledge of machine learning algorithms, neural networks, natural language processing, computer vision, reinforcement learning, search algorithms, knowledge representation, probabilistic ...
Knowledge of agent-based modeling, reinforcement learning, and autonomous systems is highly desirable. You have familiarity with data visualization tools (e.g., Tableau, Power BI). You have ...
Knowledge of agent-based modeling, reinforcement learning, and autonomous systems is highly desirable. You have familiarity with data visualization tools (e.g., Tableau, Power BI). You have ...
Software Engineer II -AI Enabled Tactical Autonomy
Cedar Rapids, IA · On-site
$95K - $130K/yr
Experience with reinforcement learning, multi-agent systems, or AI-driven decision-making. * Familiarity with autonomy simulation tools, modeling environments, or mission-focused testing frameworks.
Software Engineer II -AI Enabled Tactical Autonomy
Cedar Rapids, IA · On-site
$95K - $130K/yr
Experience with reinforcement learning, multi-agent systems, or AI-driven decision-making. * Familiarity with autonomy simulation tools, modeling environments, or mission-focused testing frameworks.
Experience with reinforcement learning, multi-agent systems, or AI-driven decision-making. * Familiarity with autonomy simulation tools, modeling environments, or mission-focused testing frameworks.
Experience with reinforcement learning, multi-agent systems, or AI-driven decision-making. * Familiarity with autonomy simulation tools, modeling environments, or mission-focused testing frameworks.
Develop intelligent decision-support mechanisms using predictive analytics, reinforcement learning-inspired behaviors, and value-of-information methodologies * Support integration, simulation, and ...
Develop intelligent decision-support mechanisms using predictive analytics, reinforcement learning-inspired behaviors, and value-of-information methodologies * Support integration, simulation, and ...
Senior Software Engineer - Tactical Data and Autonomy (Onsite)
Cedar Rapids, IA · On-site
$119K - $158K/yr
Develop intelligent decision-support mechanisms using predictive analytics, reinforcement learning-inspired behaviors, and value-of-information methodologies * Support integration, simulation, and ...
Senior Software Engineer - Tactical Data and Autonomy (Onsite)
Cedar Rapids, IA · On-site
$119K - $158K/yr
Develop intelligent decision-support mechanisms using predictive analytics, reinforcement learning-inspired behaviors, and value-of-information methodologies * Support integration, simulation, and ...
BCABA Tutor
Iowa City, IA · 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
Iowa City, IA · 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 · 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 · 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 ...
Student Support Associate
Marion, IA · On-site
$17 - $22/hr
Enforce rules and procedures for appropriate classroom behavior, to maintain and promote a fair, supportive, inclusive and positive learning environment. Use appropriate reinforcement strategies such ...
Student Support Associate
Marion, IA · On-site
$17 - $22/hr
Enforce rules and procedures for appropriate classroom behavior, to maintain and promote a fair, supportive, inclusive and positive learning environment. Use appropriate reinforcement strategies such ...
Student Support Associate
$17 - $22/hr
Enforce rules and procedures for appropriate classroom behavior, to maintain and promote a fair, supportive, inclusive and positive learning environment. Use appropriate reinforcement strategies such ...
Student Support Associate
$17 - $22/hr
Enforce rules and procedures for appropriate classroom behavior, to maintain and promote a fair, supportive, inclusive and positive learning environment. Use appropriate reinforcement strategies such ...
Student Support Associate (6 openings)
$17 - $22/hr
Enforce rules and procedures for appropriate classroom behavior, to maintain and promote a fair, supportive, inclusive and positive learning environment. Use appropriate reinforcement strategies such ...
Student Support Associate (6 openings)
$17 - $22/hr
Enforce rules and procedures for appropriate classroom behavior, to maintain and promote a fair, supportive, inclusive and positive learning environment. Use appropriate reinforcement strategies such ...
Student Support Associate
Marion, IA · On-site
$17 - $22/hr
Enforce rules and procedures for appropriate classroom behavior, to maintain and promote a fair, supportive, inclusive and positive learning environment. Use appropriate reinforcement strategies such ...
Student Support Associate
Marion, IA · On-site
$17 - $22/hr
Enforce rules and procedures for appropriate classroom behavior, to maintain and promote a fair, supportive, inclusive and positive learning environment. Use appropriate reinforcement strategies such ...
Student Support Associate
Marion, IA · On-site
$17 - $22/hr
Enforce rules and procedures for appropriate classroom behavior, to maintain and promote a fair, supportive, inclusive and positive learning environment. Use appropriate reinforcement strategies such ...
Student Support Associate
Marion, IA · On-site
$17 - $22/hr
Enforce rules and procedures for appropriate classroom behavior, to maintain and promote a fair, supportive, inclusive and positive learning environment. Use appropriate reinforcement strategies such ...
Student Support Associate
Marion, IA · On-site
$17 - $22/hr
Enforce rules and procedures for appropriate classroom behavior, to maintain and promote a fair, supportive, inclusive and positive learning environment. Use appropriate reinforcement strategies such ...
Student Support Associate
Marion, IA · On-site
$17 - $22/hr
Enforce rules and procedures for appropriate classroom behavior, to maintain and promote a fair, supportive, inclusive and positive learning environment. Use appropriate reinforcement strategies such ...
Reinforcement Learning information
See Iowa salary details
$26.8K - $31.2K
2% of jobs
$31.2K - $35.6K
3% of jobs
$35.6K - $40K
6% of jobs
$40K - $44.4K
3% of jobs
$48.3K is the 25th percentile. Wages below this are outliers.
$44.4K - $48.8K
12% of jobs
The median wage is $52.9K / yr.
$48.8K - $53.2K
25% of jobs
$53.2K - $57.6K
12% of jobs
$57.6K - $61.9K
9% of jobs
$62.8K is the 75th percentile. Wages above this are outliers.
$61.9K - $66.3K
12% of jobs
$66.3K - $70.7K
11% of jobs
$70.7K - $75.1K
5% of jobs
$26.8K
$54.8K
$75.1K
How much do reinforcement learning jobs pay per year?
As of Jul 27, 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 job categories do people searching Reinforcement Learning jobs in Iowa look for? The top searched job categories for Reinforcement Learning jobs in Iowa are:
- Remote Director Machine Learning
- Internship Deep Reinforcement Learning
- Work Based Learning
- Junior Ai Machine Learning Python
- Internship Graduate Machine Learning
- Remote Tesla Machine Learning Engineer
- Professional Learning
- Machine Learning Research Intern
- Learning Development Trainer
- Junior Machine Learning
What cities in Iowa are hiring for Reinforcement Learning jobs? Cities in Iowa with the most Reinforcement Learning job openings:
Job description
Robotics & AI Research Engineer
Description
Auzmor is redefining workforce training by seamlessly integrating human and robotic skill development to empower the hybrid workforce of tomorrow. As a Robotics & AI Research Engineer in our Robotics Division, you will lead pioneering research to enhance robotic capabilities through advanced artificial intelligence, focusing on areas such as autonomous decision-making, object recognition, and natural language processing for human-robot interaction. You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor's end-to-end hybrid workforce training platform. Collaborating with robotics software, simulation, and compliance teams, you will create AI-driven training modules, proprietary algorithms, and skill development tools, ensuring robust integration with robotic systems for applications in manufacturing, logistics, and healthcare.
This role is essential to achieving Auzmor's mission of delivering 25% improvement in human-robot efficiency, addressing the 35% skills gap in human-robot collaboration, and maintaining a 2-3 year lead in the $45B robotic training market by 2028, growing to $100B by 2030.
Key Responsibilities
• AI Model Development: Design, train, and optimize advanced machine learning models, including deep learning, reinforcement learning, and generative AI, for robotic applications such as autonomous navigation, dynamic grasping, or conversational human-robot interfaces.
• Research Innovation: Conduct cutting-edge research in computer vision, neural policies, or natural language processing to develop adaptive and deterministic robotic behaviors for tasks like inventory scanning or patient assistance.
• Skill Creation: Develop AI-driven training modules and templates for Auzmor's no-code Task Creator UI, enabling enterprise clients to create task-specific robotic skills (e.g., quality control in manufacturing, patient care in healthcare).
• Simulation and Validation: Validate AI models in NVIDIA Isaac Sim environments (e.g., warehouse, hospital scenarios), targeting 95% task success and 0.1% collision rates; support real-world validation during pilot deployments with enterprise clients.
• Fleet Monitoring Integration: Create algorithms for real-time anomaly detection and continuous learning, integrating with AWS IoT Greengrass to address 5% failure rates and enable updates to neural policies and behavior trees for fleet optimization.
• Compliance Alignment: Ensure AI models comply with OSHA, EU AI Act, and ISO 10218 standards, supporting digital badge generation for audit-ready compliance records in regulated industries.
• Knowledge Dissemination: Publish research findings in top-tier journals or internal whitepapers to enhance Auzmor's thought leadership, and develop proprietary algorithms to strengthen our intellectual property portfolio.
• Cross-functional collaboration: Partner with robotics software engineers to translate research into production-ready systems, collaborate with simulation teams to refine scenarios, and work with enterprise clients to customize AI solutions for pilot programs.
Requirements
• Education: PhD or Master's degree in Artificial Intelligence, Machine Learning, Robotics, Computer Science, or a related field.
• Experience:
• 2+ years of experience in AI research applied to robotics, autonomous systems, or related fields.
• Proven expertise in machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Strong publication record in peer-reviewed journals or demonstrated experience deploying AI models in real-world robotic applications.
• Experience with ROS 2, computer vision libraries (e.g., OpenCV), or simulation platforms (e.g., NVIDIA Isaac Sim) is highly desirable.
• Technical Skills:
• Advanced knowledge of reinforcement learning, computer vision, or natural language processing for robotic applications.
• Proficiency in designing and optimizing neural policies, behavior trees, or generative AI models for adaptive robotic tasks.
• Ability to develop algorithms for real-time decision-making and scalable human-robot collaboration.
• Soft Skills: Exceptional analytical and creative problem-solving skills, strong communication skills to convey complex research to diverse audiences, and the ability to collaborate across technical and client-facing teams.
• Preferred: Experience in robotics applications for manufacturing, logistics, or healthcare; familiarity with compliance standards (OSHA, EU AI Act, ISO 10218); prior work on hybrid human-robot training or fleet management systems.
Why Needed
The Robotics & AI Research Engineer is a cornerstone of Auzmor's Robotics Division, driving the development of AI innovations that power our end-to-end hybrid workforce training platform. This role directly supports Auzmor's Phase 2 (2025) goals of launching AI agent training modules, Task Creator prototypes, and robotic training pilots, as well as Phase 3 (2026) objectives of full-scale neural policy deployment and anomaly detection. By addressing the 35% skills gap in human-robot collaboration and enabling 99% fleet uptime, this position aligns with Auzmor's vision to capture a share of the $45B robotic training market by 2028, growing to $100B by 2030.
Why Auzmor?
• Impact: Be part of a 2-3 year lead in hybrid workforce training, working with 100+ enterprise clients, including Fortune 500 companies.
• Innovation: Leverage Auzmor's 6-year AI/ML stack, ROS 2-compatible platform, and partnerships with NVIDIA and AWS to build state-of-the-art robotics solutions.
• Growth: Join a team targeting $18M ARR in 2025 and $27.2M by 2028, with opportunities to shape a rapidly expanding industry.
• Culture: Collaborate with a dream team, including our CPO and VP of Robotics, in a dynamic, mission-driven environment.
Location
Des Moines, Iowa, USA
Compensation
Competitive salary, equity options, and comprehensive benefits
Auzmor is an equal-opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates.
Description
Auzmor is redefining workforce training by seamlessly integrating human and robotic skill development to empower the hybrid workforce of tomorrow. As a Robotics & AI Research Engineer in our Robotics Division, you will lead pioneering research to enhance robotic capabilities through advanced artificial intelligence, focusing on areas such as autonomous decision-making, object recognition, and natural language processing for human-robot interaction. You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor's end-to-end hybrid workforce training platform. Collaborating with robotics software, simulation, and compliance teams, you will create AI-driven training modules, proprietary algorithms, and skill development tools, ensuring robust integration with robotic systems for applications in manufacturing, logistics, and healthcare.
This role is essential to achieving Auzmor's mission of delivering 25% improvement in human-robot efficiency, addressing the 35% skills gap in human-robot collaboration, and maintaining a 2-3 year lead in the $45B robotic training market by 2028, growing to $100B by 2030.
Key Responsibilities
• AI Model Development: Design, train, and optimize advanced machine learning models, including deep learning, reinforcement learning, and generative AI, for robotic applications such as autonomous navigation, dynamic grasping, or conversational human-robot interfaces.
• Research Innovation: Conduct cutting-edge research in computer vision, neural policies, or natural language processing to develop adaptive and deterministic robotic behaviors for tasks like inventory scanning or patient assistance.
• Skill Creation: Develop AI-driven training modules and templates for Auzmor's no-code Task Creator UI, enabling enterprise clients to create task-specific robotic skills (e.g., quality control in manufacturing, patient care in healthcare).
• Simulation and Validation: Validate AI models in NVIDIA Isaac Sim environments (e.g., warehouse, hospital scenarios), targeting 95% task success and 0.1% collision rates; support real-world validation during pilot deployments with enterprise clients.
• Fleet Monitoring Integration: Create algorithms for real-time anomaly detection and continuous learning, integrating with AWS IoT Greengrass to address 5% failure rates and enable updates to neural policies and behavior trees for fleet optimization.
• Compliance Alignment: Ensure AI models comply with OSHA, EU AI Act, and ISO 10218 standards, supporting digital badge generation for audit-ready compliance records in regulated industries.
• Knowledge Dissemination: Publish research findings in top-tier journals or internal whitepapers to enhance Auzmor's thought leadership, and develop proprietary algorithms to strengthen our intellectual property portfolio.
• Cross-functional collaboration: Partner with robotics software engineers to translate research into production-ready systems, collaborate with simulation teams to refine scenarios, and work with enterprise clients to customize AI solutions for pilot programs.
Requirements
• Education: PhD or Master's degree in Artificial Intelligence, Machine Learning, Robotics, Computer Science, or a related field.
• Experience:
• 2+ years of experience in AI research applied to robotics, autonomous systems, or related fields.
• Proven expertise in machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Strong publication record in peer-reviewed journals or demonstrated experience deploying AI models in real-world robotic applications.
• Experience with ROS 2, computer vision libraries (e.g., OpenCV), or simulation platforms (e.g., NVIDIA Isaac Sim) is highly desirable.
• Technical Skills:
• Advanced knowledge of reinforcement learning, computer vision, or natural language processing for robotic applications.
• Proficiency in designing and optimizing neural policies, behavior trees, or generative AI models for adaptive robotic tasks.
• Ability to develop algorithms for real-time decision-making and scalable human-robot collaboration.
• Soft Skills: Exceptional analytical and creative problem-solving skills, strong communication skills to convey complex research to diverse audiences, and the ability to collaborate across technical and client-facing teams.
• Preferred: Experience in robotics applications for manufacturing, logistics, or healthcare; familiarity with compliance standards (OSHA, EU AI Act, ISO 10218); prior work on hybrid human-robot training or fleet management systems.
Why Needed
The Robotics & AI Research Engineer is a cornerstone of Auzmor's Robotics Division, driving the development of AI innovations that power our end-to-end hybrid workforce training platform. This role directly supports Auzmor's Phase 2 (2025) goals of launching AI agent training modules, Task Creator prototypes, and robotic training pilots, as well as Phase 3 (2026) objectives of full-scale neural policy deployment and anomaly detection. By addressing the 35% skills gap in human-robot collaboration and enabling 99% fleet uptime, this position aligns with Auzmor's vision to capture a share of the $45B robotic training market by 2028, growing to $100B by 2030.
Why Auzmor?
• Impact: Be part of a 2-3 year lead in hybrid workforce training, working with 100+ enterprise clients, including Fortune 500 companies.
• Innovation: Leverage Auzmor's 6-year AI/ML stack, ROS 2-compatible platform, and partnerships with NVIDIA and AWS to build state-of-the-art robotics solutions.
• Growth: Join a team targeting $18M ARR in 2025 and $27.2M by 2028, with opportunities to shape a rapidly expanding industry.
• Culture: Collaborate with a dream team, including our CPO and VP of Robotics, in a dynamic, mission-driven environment.
Location
Des Moines, Iowa, USA
Compensation
Competitive salary, equity options, and comprehensive benefits
Auzmor is an equal-opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates.
About Auzmor
Sourced by ZipRecruiter
Industry
Software development
Company size
51 - 200 Employees
Headquarters location
West Des Moines, IA, US
Year founded
2017