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Reinforcement Learning Engineer Jobs in Nebraska

Amazing Athletes

Youth Sports Coach

Omaha, NE · On-site

Children need to have FUN while learning the FUNdamentals of sports. Our goal is to provide an ... Our Coaches use positive reinforcement to encourage children to do better and celebrate success

Amazing Athletes

Youth Sports Coach

Omaha, NE

Children need to have FUN while learning the FUNdamentals of sports. Our goal is to provide an ... Our Coaches use positive reinforcement to encourage children to do better and celebrate success

Amazing Athletes

Youth Sports Coach

Omaha, NE · On-site

Children need to have FUN while learning the FUNdamentals of sports. Our goal is to provide an ... Our Coaches use positive reinforcement to encourage children to do better and celebrate success

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Reinforcement Learning Engineer information

See Nebraska salary details

$36.2K

$110.5K

$182.6K

How much do reinforcement learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for reinforcement learning engineer in Nebraska is $110,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $144,400.00 per year, depending on experience, location, and employer.

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 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 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 Nebraska? For Reinforcement Learning Engineer jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Engineer jobs in Nebraska look for? The top searched job categories for Reinforcement Learning Engineer jobs in Nebraska are:
What cities in Nebraska are hiring for Reinforcement Learning Engineer jobs? Cities in Nebraska with the most Reinforcement Learning Engineer job openings:
Reinforcement Learning Engineer jobs near you

Youth Sports Coach

Amazing Athletes

Omaha, NE • On-site

Full-time

Posted 3 days ago

Job description

Amazing Athletes Sports Coach

Great pay, work in the community, and impact children's lives!

Would you like to earn above-average pay while staying active and promoting life skills through 10 different sports? We offer a competitive hourly rate, training on the job, a flexible schedule, and incentive programs.

The Company:

Amazing Athletes was created to provide the best programming and service in the market for youth sports, ages 18 months- 6 years old. Children need to have FUN while learning the FUNdamentals of sports. Our goal is to provide an experience where every child is an athlete. The long-term impact will create healthy habits at a young age, teach life skills and increase youth activity across the board.

The Position:

We are seeking coaches for our multi-sport enrichment program. Amazing Athletes was founded in 2003 and has grown into one of the nations largest multi sport enrichment programs with over 50,000 kids enrolled each year. Our program comes with ready-made curriculum and extensive training to help you get up to speed quickly and enjoy working with the kids!

  • Our Coaches travel to preschool and daycare locations to teach classes using individual attention to ensure every child has success
  • Our Coaches use a non-competitive approach so ensure classes are fun and we create a stress-free environment
  • Our Coaches use positive reinforcement to encourage children to do better and celebrate success
  • And finally, our coaches have a blast. They are open-minded and know that coaching is a continuous journey. All Coaches are open to feedback and strive to be better by attending trainings and follow the Amazing Athletes Coaching Manual & Curriculum.

Requirements

The ideal candidate would have:

*Passion and previous experience working with preschool age children ages 2-6

* Experience Coaching/Playing sports

*Availability:

  • Monday-Friday- 8:30-Noon
  • Weekends: (Times) 8:00-1:00 ( optional)

Benefits

  • 25-35$ an Hour based on experience and growth.
  • Gas reimbursement
  • Sponsored sports and first aid certifications
  • Sports store discounts
  • Free programming for family and discounts for friends
  • Opportunities to work full-time and even become a franchise owner