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Internship Deep Reinforcement Learning Jobs in Vermont

Petco

Dog Trainer

Burlington, VT

Your expertise in modern dog training techniques and positive reinforcement methods will help pet ... Complete all assigned Workday Learning modules and DTIP Student Workbook materials per the DTIP ...

Petco

Dog Trainer

Burlington, VT · On-site

Your expertise in modern dog training techniques and positive reinforcement methods will help pet ... Complete all assigned Workday Learning modules and DTIP Student Workbook materials per the DTIP ...

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All JobsDeep Reinforcement Learning JobsInternship Deep Reinforcement Learning JobsInternship Deep Reinforcement Learning Jobs in Vermont

Internship Deep Reinforcement Learning information

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?

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 job categories do people searching Internship Deep Reinforcement Learning jobs in Vermont look for? The top searched job categories for Internship Deep Reinforcement Learning jobs in Vermont are:
What cities in Vermont are hiring for Internship Deep Reinforcement Learning jobs? Cities in Vermont 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 Vermont as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Advanced Manufacturing & Engineering Instructor

Lyndon Institute Inc

Lyndon Center, VT

$40K - $66K/yr

Full-time

Re-posted 22 days ago

Job description

Lyndon Institute is seeking a creative, passionate and innovative instructor to lead our growing Advanced Manufacturing and Engineering CTE program.
This full-time position will be responsible for developing and delivering engaging and hands-on curriculum in areas including manual and CNC machining, 3D printing, engineering, design software, and robotics. The ideal candidate will have a strong background in manufacturing, engineering, design, and lean concepts. This position is designed for a dynamic professional who thrives at the intersection of hands-on craftsmanship and high-tech innovation. Operating out of our state-of-the-art facility, you will mentor a diverse group of students, transforming them into problem-solvers and future engineers. Through project-based learning and deep industry partnerships, you will bridge the gap between the classroom and the modern industrial floor.
Responsibilities:
Program Development and Instruction:
  • Modern Manufacturing: Deliver high-impact instruction in CNC machining, additive manufacturing (3D printing), and computer-aided design/manufacturing (CAD/CAM).
  • Engineering Principles: Integrate LEAN and 6-Sigma principles into the curriculum to prepare students for the efficiency standards of modern industry.
  • Software Mastery: Guide students in the use of industry-standard platforms, including Fusion 360, SolidWorks, and/or Autodesk Inventor.
  • Project-Based Learning: Design and supervise complex "Maker" projects that challenge students to innovate, prototype, and refine their engineering designs.
Program Management and Safety:
  • Industry Partnerships: Manage and grow relationships with regional manufacturing partners, coordinating off-site, hands-on learning experiences at their facilities.
  • Resources: Manage program resources effectively, including budget, equipment, and supplies.
  • Robotics Excellence: Lead Lyndon Institute’s entry into the world of FIRST Robotics, coaching students through the design, build, and competitive phases.
  • Collaboration: Collaborate with school administration, CTE department colleagues, and program advisory board members to ensure program relevance and effectiveness.
  • Professional Currency: Stay current with industry trends, technological advancements, and relevant certifications in advanced manufacturing and engineering.
  • Safety amp; Operations: Maintain a safe, professional shop environment, ensuring all equipment is utilized according to strict industry safety standards.
Student Support and Development:
  • Entrepreneurial Spirit: Foster a "Maker Mindset" in students, encouraging creative problem-solving, resilience, and an entrepreneurial approach to engineering.
  • Inclusive Achievement: Adapt instructional methods to raise the achievement levels of a wide range of learners, ensuring every student has a pathway to success.
  • Career Preparation: Act as a role model and bridge for students exploring post-secondary engineering degrees or immediate entry into high-tech manufacturing careers.
  • Organizations: Promote student participation in regional, state, and national events, including the annual SkillsUSA competitions.
  • Connections: Connect students with industry professionals through guest speakers, field trips, and potential mentorship opportunities.
  • Leadership: Foster student leadership, teamwork, and professional skills through classroom activities and Career and Technical Student Organizations.
  • Collaboration: Work with our college and career counselor to guide students in exploring post-secondary options, internships, and career pathways in related fields.
Collaboration and Communication:
  • Collaborate effectively with other teachers, counselors, and administrators to support student success.
  • Communicate regularly with parents/guardians regarding student progress and program activities.
  • Participate in school-wide events, professional development opportunities, and program-related meetings.

Qualifications:
  • Valid Vermont teaching license with CTE endorsement in a relevant area, or eligibility to obtain such licensure. Lyndon Institute will pay for courses in the Vermont State University’s CTE Teacher Prep Program if necessary.
  • Significant practical experience in engineering, manufacturing, machining, or a related field.
  • Demonstrated knowledge of sustainable manufacturing practices, lean principles, materials use and regulation, and design strategies.
  • Proven ability to safely and effectively operate and instruct in the use of cutting tables and tools, lathes, mills, 3D printers and other advanced manufacturing equipment. Relevant industry certifications are highly desirable.
  • Experience in curriculum development, instructional delivery, and assessment in a secondary or post-secondary setting preferred.
  • Bachelor’s degree in engineering, materials science, robotics, applied manufacturing, or a closely related field preferred.
  • Excellent communication, interpersonal, organizational, and problem-solving skills.
  • A strong commitment to student success and a passion for experiential learning.
Why Lyndon Institute?
Join a program at its inception and make your mark on the next generation of Vermont’s workforce. We offer a state-of-the-art facility, strong regional backing, and a clear path to teacher certification for industry professionals looking to pivot into education.

Apply