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Reinforcement Learning Engineer Jobs in Newtown, CT

Guardianlife

Data Scientist, Agentic AI

Stamford, CT · Hybrid

$95K - $156K/yr

Collaborate with data engineers and AIOps teams to ensure models are scalable, robust, and production-ready. * Translate research in agentic AI and reinforcement learning into practical applications ...

Grace Farms Foundation

Educator

New Canaan, CT · On-site

$40K/yr

... programming accessible and inviting to all. Utilizes appropriate positive reinforcement, humor and ... Experience teaching or facilitating learning for students of all ages in a formal or informal ...

Grace Farms Foundation

Educator

New Canaan, CT · On-site

$40K/yr

... programming accessible and inviting to all. Utilizes appropriate positive reinforcement, humor and ... Experience teaching or facilitating learning for students of all ages in a formal or informal ...

Grace Farms Foundation

Educator

New Canaan, CT · On-site

... programming accessible and inviting to all. Utilizes appropriate positive reinforcement, humor and ... Experience teaching or facilitating learning for students of all ages in a formal or informal ...

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 ...

Milestones

Assistant Behavior Analyst (BCaBA)

Milford, CT · On-site

$25.90 - $35.90/hr

Review and analyze reinforcement Board systems including ensuring staff are implementing systems ... Participate in student home programming when applicable. * Graph for one student and analysis of ...

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

Reinforcement Learning Engineer information

See Newtown, CT salary details

$39.1K

$119.4K

$197.3K

How much do reinforcement learning engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for reinforcement learning engineer in Newtown, CT is $119,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $156,100.00 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 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 job categories do people searching Reinforcement Learning Engineer jobs in Newtown, CT look for? The top searched job categories for Reinforcement Learning Engineer jobs in Newtown, CT are:
What cities near Newtown, CT are hiring for Reinforcement Learning Engineer jobs? Cities near Newtown, CT with the most Reinforcement Learning Engineer job openings:
Reinforcement Learning Engineer jobs near you

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT

Full-time

Posted 16 days ago

Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

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