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Reinforcement Learning Engineer Jobs in Alabama (NOW HIRING)

Leidos

Aerospace Engineer

Huntsville, AL · On-site

$87K - $157K/yr

You will work to solve complex engineering problems with a highly technical, multidisciplinary team ... Understanding of machine learning basics, supervised learning, reinforcement learning, and ...

Becton, Dickinson and Company

It takes the imagination and passion of all of us-from design and engineering to the manufacturing ... Equip frontline leaders and regional teams with tools and reinforcement mechanisms to sustain ...

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 Jun 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 June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $105,018 per year, or $50.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

SynergisticIT

Birmingham, AL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Synergistic IT Job Posting

Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We don't just help you secure a Tech Job, but we build your solid career in technology.

Technical Skills:

  • Python, Model Training/Testing

Primary Responsibilities :

  • Working on the awesome AI product for document information extraction.
  • Build the next-generation information extraction product powered by state-of-the-art AI and Deep Learning techniques.
  • Work with an international top-notch engineering team with full commitment on Machine Learning development.

Skills Required:

  • Passionate about search and AI technologies. Open to collaborating with colleagues and external contributors.
  • Good understanding about the mainstream deep learning models from multiple domains: computer vision, NLP, reinforcement learning, model optimization etc.
  • Skilled in the following programming languages: Python 3.
  • Good English skills especially for writing and reading documentation

Education Requirement: Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering. Benefits of working with our clients:

  • E-Verified.
  • Help to get H1b Employer
  • Long Term Positions
  • On Job Technical Support.

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry. If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you

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