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Reinforcement Learning Engineer Jobs in Southington, CT

Info Way Solutions

Gen AI Engineer

Hartford, CT · On-site

... with Reinforcement Learning (RL), Prompt Engineering, and Knowledge Graphs to improve AI agent capabilities. • Collaborate with cross-functional teams to integrate AI-powered solutions into ...

Zaba Therapy LLC

Behavior Technician

Hamden, CT · On-site

$21.50 - $24.50/hr

... learning and living environment for the learner. * Collect data for all programming using automated ... Differential Reinforcement * Shaping * Pairing existing reinforcers with neutral items/activities ...

Zaba Therapy LLC

Behavior Technician

Hamden, CT · On-site

$21.50 - $24.50/hr

... learning and living environment for the learner. * Collect data for all programming using automated ... Differential Reinforcement * Shaping * Pairing existing reinforcers with neutral items/activities ...

All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Southington, CT

Reinforcement Learning Engineer information

See Southington, CT salary details

$38.6K

$117.6K

$194.4K

How much do reinforcement learning engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for reinforcement learning engineer in Southington, CT is $117,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,300.00 and $153,800.00 per year, depending on experience, location, and employer.

What is a reinforcement learning engineer?

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 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 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 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 cities near Southington, CT are hiring for Reinforcement Learning Engineer jobs?

Cities near Southington, CT with the most Reinforcement Learning Engineer job openings:

Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Southington, CT as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $117,645 per year, or $56.6 per hour.

Gen AI Engineer

Hartford, CT • On-site

Info Way Solutions
IT Services • 51 - 200 employees
Learn more about Info Way Solutionsexternal

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Info Way Solutions is a company focused on advanced AI technologies, and they are seeking a Gen AI Engineer to design and implement innovative AI/ML models. The role involves developing generative AI solutions and collaborating with teams to integrate these technologies into various applications.
Responsibilities:
• Design, develop, and deploy AI/ML models, with a focus on Generative AI and autonomous agents.
• Implement LLM-based AI agents, fine-tune pre-trained models, and integrate them into applications.
• Develop and optimize multi-modal AI systems (text, image, audio, video) using state-of-the-art techniques.
• Work with Reinforcement Learning (RL), Prompt Engineering, and Knowledge Graphs to improve AI agent capabilities.
• Collaborate with cross-functional teams to integrate AI-powered solutions into products and services.
• Conduct research, experiment with emerging AI frameworks, and optimize model performance.
• Ensure scalability, efficiency, and ethical considerations in AI solutions.
Qualifications:
Required:
• Bachelor's, Master's, or Ph.D. in Computer Science, AI, Data Science, or a related field.
• 3+ years of experience in AI/ML development, with expertise in Generative AI and AI agents.
• Proficiency in Python, TensorFlow/PyTorch, and Hugging Face Transformers.
• Experience with LLMs (GPT, Claude, Gemini, etc.), vector databases, and retrieval-augmented generation (RAG).
• Strong understanding of NLP, deep learning, and model fine-tuning techniques.
• Experience working with MLOps, cloud-based AI deployment (AWS/GCP/Azure), and containerization (Docker, Kubernetes).
• Knowledge of prompt engineering, reinforcement learning, and AI safety principles.
• Strong problem-solving skills, ability to work independently and collaboratively.
Preferred:
• Experience with self-learning AI agents, autonomous workflows, or multi-agent systems.
• Background in graph-based AI, symbolic reasoning, or cognitive architectures.
• Contributions to open-source AI/ML projects or research publications in relevant domains.
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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