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Reinforcement Learning Engineer Jobs in Alabama (NOW HIRING)

Leidos

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

You will also be responsible for working with other software engineers, machine learning engineers ... Knowledge of AI/ML techniques such as supervised, unsupervised, and reinforcement learning and ...

Leidos

Data Scientist

Huntsville, AL

$69K - $125K/yr

You will also be responsible for working with other software engineers, machine learning engineers ... Knowledge of AI/ML techniques such as supervised, unsupervised, and reinforcement learning and ...

Leidos

Data Scientist

Huntsville, AL

$69K - $125K/yr

You will also be responsible for working with other software engineers, machine learning engineers ... Knowledge of AI/ML techniques such as supervised, unsupervised, and reinforcement learning and ...

Leidos

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

You will also be responsible for working with other software engineers, machine learning engineers ... Knowledge of AI/ML techniques such as supervised, unsupervised, and reinforcement learning and ...

Leidos

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

You will also be responsible for working with other software engineers, machine learning engineers ... Knowledge of AI/ML techniques such as supervised, unsupervised, and reinforcement learning and ...

Leidos

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

You will also be responsible for working with other software engineers, machine learning engineers ... Knowledge of AI/ML techniques such as supervised, unsupervised, and reinforcement learning and ...

Becton, Dickinson and Company

It takes the imagination and passion of all of us-from design and engineering to the manufacturing ... Virtual learning programs * Advanced capability workshops * Primary focus areas include: valuebased ...

All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Alabama

Reinforcement Learning Engineer information

See Alabama salary details

$34.4K

$105K

$173.6K

How much do reinforcement learning engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for reinforcement learning engineer in Alabama is $105,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $137,300.00 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 Alabama? For Reinforcement Learning Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Engineer jobs in Alabama look for? The top searched job categories for Reinforcement Learning Engineer jobs in Alabama are:
What cities in Alabama are hiring for Reinforcement Learning Engineer jobs? Cities in Alabama with the most Reinforcement Learning Engineer job openings:
Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Alabama as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $105,018 per year, or $50.5 per hour.
2024-01-1E AI/ML Engineer

2024-01-1E AI/ML Engineer

1st Edge LLC

Huntsville, AL • On-site

Full-time

Posted 10 days ago

Job description

1st Edge is a growing business seeking top performers to join in our mission of developing Artificial Intelligence solutions for our Government customers. We offer technically advanced, challenging work in an employee-centered environment driven by the desire to contribute to a meaningful purpose. Our employees work closely with Space and Missile Defense Command (SMDC), Missile Defense Agency (MDA), and Combat Capabilities Development Command (DevCom).
We believe in a balanced, quid pro quo relationship between the company and its employees, providing all benefits at no cost-plus generous time off. This balanced culture allows employees to do their best work and contributes to our extraordinary success rate. From an excellent benefits package to job autonomy with challenging work, 1st Edge cultivates an innovative and collaborative environment with meaningful work.
1st Edge is seeking a skilled and experienced AI/ML Engineer to join our team. In this position, you will play a vital role in developing and integrating cutting-edge solutions using AI/ML technologies for use in a variety of applications. You will be instrumental in the design, development, and deployment of AI models and systems for 1st Edge. This position is on-site at 1st Edge LLC, located in Huntsville, AL.
Desired qualifications:
  • Experience with AI techniques for Reinforcement Learning
  • Knowledge of Git/Gitlab and virtualization technologies such as Docker

Required qualifications:
  • 3+ years of related experience
  • You must be a U.S. Citizen and have, or be able to obtain, a secret security clearance.

Education Requirements:
  • Bachelor of Science/Engineering degree in computer science, computer engineering, software engineering, mathematics, or related discipline
  • Master's Degree or Ph.D. preferred

Responsibilities include, but are not limited to the following tasks:
  • Lead the development of AI solutions using machine learning, deep learning, natural language processing, and computer vision
  • Develop and maintain AI systems, including data pipelines, model training, and deployment
  • Collaborate with data scientists, software engineers, and integrated product team stakeholders to integrate AI solutions
  • Provide reports and briefings on AI/ML model performance to government partners
  • Mentor and contribute to the growth of the team
  • Collaborate with team to writing technical papers and white papers

Essential job skills include:
  • Ability to apply AI techniques in a variety of contexts
  • Experience working with MLOps for experiment tracking and model deployment
  • Strong proficiency in Python and associated packages such as Pytorch
  • Excellent problem-solving and analytical skills
  • Ability to work independently and as part of a team
  • Prepare presentations and reports to communicate complex technical concepts to a broad audience

All your information will be kept confidential according to EEO guidelines.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. However, please note, based on the requirements of our Government contracts, you must be a U.S. citizen to apply for this position.

Apply