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Internship Deep Reinforcement Learning Jobs in Rochester, NY

Kharma Care LLC

Lead Teacher

Rochester, NY · On-site

$18.50 - $25/hr

... learning, independence, and social-emotional development. Key Responsibilities: Classroom ... Supervise and mentor Assistant Teachers, Classroom Aides, and interns. * Work in partnership with ...

Kharma Care LLC

Lead Teacher

Rochester, NY · On-site

$18.50 - $25/hr

... learning, independence, and social-emotional development. Key Responsibilities: Classroom ... Supervise and mentor Assistant Teachers, Classroom Aides, and interns. * Work in partnership with ...

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All JobsDeep Reinforcement Learning JobsInternship Deep Reinforcement Learning JobsInternship Deep Reinforcement Learning Jobs in Rochester, NY

Internship Deep Reinforcement Learning information

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$8

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How much do internship deep reinforcement learning jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for internship deep reinforcement learning in Rochester, NY is $16.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a Deep Reinforcement Learning internship?

As a Deep Reinforcement Learning (DRL) intern, you'll typically work on projects involving the development, implementation, and evaluation of reinforcement learning algorithms. This might include tasks like training agents in simulated environments, tuning hyperparameters, analyzing performance metrics, and collaborating with team members to integrate DRL solutions into larger systems. You'll also likely spend time reading recent research papers, experimenting with frameworks such as TensorFlow or PyTorch, and presenting your findings to the research team. Collaboration with mentors and other interns is common, and you'll gain hands-on experience that prepares you for more advanced roles in AI research or engineering.

What is an internship in Deep Reinforcement Learning?

An internship in Deep Reinforcement Learning (DRL) is a temporary, hands-on position where interns learn and apply state-of-the-art machine learning algorithms that enable computers to learn decision-making tasks through trial and error. Interns typically work on projects involving neural networks, reward systems, and environments like games or simulations. These internships provide valuable experience with frameworks such as TensorFlow or PyTorch, and exposure to current research in artificial intelligence. The experience helps students or recent graduates build technical skills and prepare for careers in AI research or industry.

What are the key skills and qualifications needed to thrive as an Intern in Deep Reinforcement Learning, and why are they important?

To thrive as an Intern in Deep Reinforcement Learning, you need a solid background in mathematics (especially linear algebra, probability, and calculus), programming (Python), and foundational knowledge in machine learning principles, usually supported by ongoing or completed coursework in computer science or related fields. Familiarity with frameworks and tools such as TensorFlow, PyTorch, OpenAI Gym, and experience using version control systems like Git are typically required. Analytical thinking, curiosity, and effective communication are essential soft skills for collaborating on research problems and sharing complex findings. These skills and qualities are crucial for contributing to innovative projects and successfully navigating the challenges of cutting-edge AI research.

What is the difference between Internship Deep Reinforcement Learning vs Data Science Intern?

AspectInternship Deep Reinforcement LearningData Science Intern
Required SkillsMachine learning, programming (Python), reinforcement learning conceptsStatistics, data analysis, programming (Python/R), data visualization
Work EnvironmentResearch labs, AI companies, tech startupsBusiness analytics, tech firms, consulting agencies
Industry UsageAI research, robotics, autonomous systemsBusiness intelligence, marketing, finance

Internship Deep Reinforcement Learning focuses on developing algorithms that enable systems to learn through trial and error, often in AI research or robotics. Data Science Internships involve analyzing data to extract insights and support decision-making. While both roles require programming skills, reinforcement learning emphasizes AI-specific techniques, whereas data science centers on statistical analysis and data visualization.

What are popular job titles related to Internship Deep Reinforcement Learning jobs in Rochester, NY? For Internship Deep Reinforcement Learning jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Internship Deep Reinforcement Learning jobs in Rochester, NY look for? The top searched job categories for Internship Deep Reinforcement Learning jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Internship Deep Reinforcement Learning jobs? Cities near Rochester, NY with the most Internship Deep Reinforcement Learning job openings:
Internship Deep Reinforcement Learning jobs near you
Infographic showing various Internship Deep Reinforcement Learning job openings in Rochester, NY as of June 2026, with employment types broken down into 9% As Needed, 52% Full Time, 15% Part Time, 9% Temporary, and 15% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $34,963 per year, or $16.8 per hour.
SkillBridge Eligible Candidates ONLY - HVAC Commercial Service Technician (Rochester, NY)

SkillBridge Eligible Candidates ONLY - HVAC Commercial Service Technician (Rochester, NY)

Livingston Associates

Rochester, NY

$32 - $40/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

This position is part of the DoD SkillBridge Program and is only open to active-duty service members. Civilian applicants are not eligible for SkillBridge opportunities. Non-military applicants will be declined immediately regardless of skill set.

**************************** Title: SkillBridge - HVAC Commercial Service Technician Location: Rochester, NY Position Type: Full-time, Internship (SkillBridge) About the Employer We are a commercial/industrial HVAC service provider with deep legacy and technical capability. Through SkillBridge, we are offering transitioning service members a hands-on technician role with guided learning and the potential for being hired full time. With over five decades of knowledge and experience in the industry we are experts in HVAC installation, service, and maintenance for commercial/industrial facilities including, but not limited to, manufacturing, hospitality, clean room labs, office and retail.

Specializing in design-build, design-assist, and partnered/financially driven design processes, they provide customers with high efficiency and best value facility mechanical and environmental systems such as precision manufacturing processes, environmental conditioning and geothermal heating/cooling. Position Summary As a SkillBridge participant, you will perform service and maintenance tasks on commercial HVAC systems (RTUs, hydronic systems, forced air, geothermal controls) under supervision. You'll hone diagnostic and hands-on skills while engaging in structured mentorship.

Learning & Mentorship Focus On-the-job training alongside experienced technicians Exposure to advanced systems, diagnostics tools, and controls Opportunity to gain certifications (EPA I & II, OSHA, controls) Mentor/technician coaching, progress feedback, and skill development Key Training Areas Assist in service, troubleshooting, and maintenance of commercial/industrial HVAC systems (RTUs, hydronic heating, forced-air, etc.) Under supervision, perform repair, replacement, and preventive maintenance tasks Participate in control systems diagnostics, refrigeration piping, and specialty system work Work with senior technicians to learn industry-recognized testing and certification tasks Help maintain documentation of service calls, parts usage, and job reports Adhere to safety practices, compliance, and environmental standards The Ideal Candidate Transitioning service member with 2-4 years of hands-on mechanical or technical training (aviation maintenance, vehicle repair, electrical, utilities, engineering, or similar). Previous experience troubleshooting and maintaining equipment preferred but not required. Mechanical aptitude - enjoys working with tools, equipment, and systems

Familiarity with safety practices and preventive maintenance. Willingness to earn EPA I & II certification and OSHA-10 during or after the program. Dependable, detail-oriented, and committed to learning.

Hands-on learner who thrives in field environments. Team-oriented but able to work independently when needed. Comfortable in varied working conditions (outdoors, heights, confined spaces).

Motivated to grow into a skilled trade career with advancement opportunities. Post SkillBridge Compensation and Benefits Upon successful completion, candidates may be offered full-time roles with: Pay range of $32.00 - $40.00/hr (depending on experience) Benefits include: Medical, Dental, and Vision plans available 401K, PTO, Vehicle allowance Uniform stipend Physical Demands and Work Environment The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

The employee is frequently required to stand, walk; sit, use hands to handle or feel objects, tools, or controls, reach with hands and arms, climb stairs, balance, stoop, kneel, crouch or crawl, and talk or hear. The employee must regularly lift and/or move up to 50 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.

The noise level in the work environment is usually moderate to loud. This is an internship position

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