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Senior Reinforcement Learning Jobs in Connecticut

Iberdrola

Engineer - GEN AI

Orange, CT · On-site

$122K - $147K/yr

Senior Manager - IT Infrastructure Location: In Office , Orange CT, Boston MA The base salary range ... unsupervised learning, reinforcement learning, and deep learning * Proficiency in programming ...

Worky

Engineer - GEN AI

Orange, CT · On-site

$141 - $176/hr

Senior Manager - IT Infrastructure Location: In Office, Orange CT The base salary range for this ... unsupervised learning, reinforcement learning, and deep learning * Proficiency in programming ...

Harc Inc

Teacher - Birth to Three

Hartford, CT · On-site

Senior Director of Birth - Three As a Teacher at Harc, Inc. Steppingstones, a state-contracted ... learning programs developed by a Board Certified Behavior Analyst (BCBA) / Licensed Behavior ...

Bizzell

Cook

New Haven, CT · On-site

$19.50/hr

Ensures meal service is provided for work-based learning, off-center activities, late arrivals, etc ... Helps students become more employable through continuous reinforcement. * Participation in PRH ...

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Senior Reinforcement Learning information

What does a senior reinforcement learning engineer do?

A Senior Reinforcement Learning Engineer designs, develops, and implements advanced machine learning algorithms that enable systems to learn optimal behaviors through trial and error. They work on complex problems such as robotics, game AI, recommendation systems, and automated decision-making. In addition to coding and model development, they often lead research initiatives, collaborate with cross-functional teams, and mentor junior engineers. Their role requires deep knowledge of reinforcement learning theory, practical experience with machine learning frameworks, and strong programming skills.

What are some common challenges faced by senior reinforcement learning professionals when deploying models in real-world environments?

Senior Reinforcement Learning professionals often encounter challenges such as ensuring model robustness when transferring algorithms from simulated to real-world environments, handling limited or noisy data, and managing the computational demands of training complex models. Additionally, safety and interpretability are critical, as real-world deployments can have significant impacts if models behave unpredictably. Close collaboration with domain experts and engineering teams is essential to address these challenges and ensure successful, scalable deployments.

What are the key skills and qualifications needed to thrive as a senior reinforcement learning engineer, and why are they important?

To thrive as a Senior Reinforcement Learning Engineer, you need deep expertise in machine learning, reinforcement learning algorithms, and programming languages such as Python, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and RL-specific libraries, as well as experience with high-performance computing and cloud platforms, is typically required. Strong problem-solving abilities, collaboration, and communication skills help distinguish top performers in this role. These skills ensure the development of efficient, robust RL models and effective teamwork on complex AI projects.

What is the difference between Senior Reinforcement Learning vs Data Scientist?

AspectSenior Reinforcement LearningData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; experience with RL frameworksDegree in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, AI teams, tech companies focusing on ML projectsBusiness analytics, data analysis, and modeling in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, marketing, tech, and more

While both roles require strong analytical skills and technical knowledge, Senior Reinforcement Learning specialists focus on developing RL algorithms and models, often in AI research settings. Data Scientists analyze data to inform business decisions across industries. The roles overlap in data handling and programming but differ in their core focus and application areas.

What are the most commonly searched types of Reinforcement Learning jobs in Connecticut?

The most popular types of Reinforcement Learning jobs in Connecticut are:

What are popular job titles related to Senior Reinforcement Learning jobs in Connecticut?

For Senior Reinforcement Learning jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Senior Reinforcement Learning jobs in Connecticut look for?

The top searched job categories for Senior Reinforcement Learning jobs in Connecticut are:

What cities in Connecticut are hiring for Senior Reinforcement Learning jobs?

Cities in Connecticut with the most Senior Reinforcement Learning job openings:

Senior Reinforcement Learning jobs near you

Engineer - GEN AI

Iberdrola

Orange, CT • On-site

$122K - $147K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago

Job description

Engineer - GEN AI

Reports to: Senior Manager - IT Infrastructure
Location: In Office, Orange CT, Boston MA

The base salary range for this position is dependent upon experience and location, ranging from:

  • $141,120 - $176,400 (Orange, CT)

  • $147,520 - $184,400 (BOSTON, MA

What We Offer:

  • Competitive benefits and growth opportunities
  • Generous performancebased bonuses
  • 12% 401(k) match
  • Comprehensive health, dental, and vision insurance
  • Tuition reimbursement
  • Professional development and clear careeradvancement pathways

For more information, please visit: Benefits - Avangrid

Job Summary

The AI engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems and enhance business operations. This role works closely with cross-functional teams to design, develop, and deploy AI models and algorithms that enable data-driven decision making. The AI engineer is an expert in machine learning, deep learning, and data analysis and creates intelligent systems that automate processes, improve efficiency, and drive business innovation.

Key Responsibilities

  • Creates, implements, and deploys AI solutions in business environments, considering scalability, reliability, and security

  • Assists in collecting and cleaning relevant datasets to ensure their suitability for machine learning tasks

  • Performs thorough testing and evaluation of AI models to ensure their performance meets the desired business objectives

  • Continuously monitors and optimizes the performance of deployed AI systems, making necessary improvements and updates

  • Stays updated with the latest advancements in AI and ML technologies to identify their potential applications in the organization

  • Collaborates with data scientists, software engineers, and other stakeholders to integrate AI capabilities into existing systems and workflows

Required Qualifications

  • A bachelor's degree in computer science, data science, software engineering, or related field

  • At least five years of experience with AI data science, ML engineering, or data analytics

  • At least two years of experience designing and implementing AI solutions with a focus on machine learning, recommendation systems, pattern recognition, NLP, or data mining

  • Experience on projects involving big data processing and distributed computing frameworks such as Apache Spark

  • Expert knowledge of machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and deep learning

  • Proficiency in programming languages such as Python, R, JavaScript, and C++

  • Knowledge of popular machine learning frameworks such as TensorFlow and PyTorch

  • Familiarity with cloud platforms, such as Azure and GCP, and their relevant AI services

  • Familiarity with data engineering concepts, including data pipelines, data integration, and data warehousing

  • Ability to work with large datasets and perform data cleaning, transformation, and manipulation

  • Strong analytical and creative problem-solving skills

  • Ability to effectively communicate technical information to business executives

  • Adaptability and willingness to learn new AI technologies and techniques

#LI-Onsite

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Company:

AVANGRID MANAGEMENT COMPANY, LLC.

Mobility Information

Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.

At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law.
If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.

Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power.

Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee's management.

Job Posting End Date:

September-25-2026

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