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$38.4K

$116.9K

$193.3K

How much do reinforcement learning engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for reinforcement learning engineer in Wisconsin is $116,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $152,900.00 per year, depending on experience, location, and employer.

What are Reinforcement Learning Engineers?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a Reinforcement Learning Engineer, and why are they important?

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What are some common challenges faced by Reinforcement Learning Engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

What is the difference between Reinforcement Learning Engineer vs Machine Learning Engineer?

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

What are popular job titles related to Reinforcement Learning Engineer jobs in Wisconsin? For Reinforcement Learning Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Engineer jobs in Wisconsin look for? The top searched job categories for Reinforcement Learning Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Reinforcement Learning Engineer jobs? Cities in Wisconsin with the most Reinforcement Learning Engineer job openings:
Reinforcement Learning Engineer jobs near you
Group Exercise Instructor - Strength Based Classes

Group Exercise Instructor - Strength Based Classes

Greater Green Bay YMCA

Milwaukee, WI

Full-time

Re-posted 17 days ago

Job description

POSITION SUMMARY:
Under the general supervision of the Healthy Living Director, the Group Exercise Instructor delivers safe, engaging, and effective group fitness classes for participants of varying ages and fitness levels. This role executes and leads dynamic workout sessions that promote health, well-being, and community connection. Instructors ensure all activities align with YMCA values and safety standards while fostering an inclusive, motivating, and supportive environment that encourages members to achieve their personal fitness goals.
ESSENTIAL FUNCTIONS:
  1. Design and deliver engaging fitness classes that align with YMCA and program standards by developing or learning choreographed routines and adapting them to meet diverse participant needs, resulting in safe, high-quality, and effective workouts that improve participant health and satisfaction.
  2. Ensure participant safety and proper technique by demonstrating correct movement patterns, observing performance, and providing verbal and visual cues or modifications, resulting in reduced risk of injury and increased participant confidence.
  3. Motivate and inspire participants by using positive reinforcement, music, and group engagement strategies to create an energetic and inclusive environment, resulting in enhanced enjoyment, member retention, and sense of community.
  4. Maintain current certifications and professional development by completing required coursework, attending YMCA and external trainings, and staying informed on industry best practices, resulting in consistent delivery of evidence-based and effective fitness instruction.
  5. Collaborate with team members and leadership by maintaining open communication regarding class schedules, attendance trends, and participant feedback, contributing to coordinated program operations and organizational success.
QUALIFICATIONS:
  1. An enthusiastic and engaging personality with a willingness to learn is essential.
  2. Must be at least 18 years of age.
COMPETENCIES:
  1. Accountability: Takes ownership of decisions, actions, and results. Follows through on commitments and accepts responsibility. Completes assigned tasks on time and accepts feedback without defensiveness. Adheres to established policies and procedures.
  2. Situational Awareness: Recognizes participant abilities, energy levels, and potential safety concerns in real time to make appropriate adjustments that ensure a positive and safe class experience.
  3. Motivating Others: Inspires and energizes participants through enthusiasm, clear communication, and encouragement, leading to sustained engagement and improved outcomes.
  4. Adaptability: Adjusts class intensity, format, or approach to meet participant needs or respond to environmental or equipment changes without compromising program quality.
  5. Innovation: Introduces new exercises, music, or formats to maintain participant interest and promote continuous improvement.
  6. Time Management: Arrives punctually, begins and ends classes on schedule, and balances class preparation with other responsibilities.
  7. Relationship Building: Creates genuine, supportive relationships with participants and colleagues to foster belonging and connection to the YMCA community.
  8. Collaboration: Works effectively with peers and leadership to ensure cohesive programming, mutual support, and alignment with organizational goals.
WORK ENVIRONMENT amp; PHYSICAL DEMANDS:
  1. Actively lead and demonstrate exercises or choreography for up to 60 minutes per class.
  2. Lift or move up to 50lbs. regularly.
  3. Speak clearly and project voice while performing physical activity.
  4. May require travel between YMCA centers or off-site locations.
  5. Teach a minimum of 2 classes per week.
This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of responsibilities, duties, or qualifications. Additional tasks may be assigned as needed to support organizational goals. Employees must be able to perform the essential functions of the position, with or without reasonable accommodation.

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