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Newton School

Reinforcement Learning Intern

InternshipHybridDelhi, Delhi3 months23K/mo2 openingsImmediate / Rolling

About this internship

Newton School is hiring a Reinforcement Learning Intern in Delhi — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to reinforcement learning rather than a certificate-only programme. About the role As a Reinforcement Learning Intern at Newton School…

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Skills you'll use

PythonReinforcement LearningOpenAI GymPyTorchPolicy GradientsQ-LearningReward DesignSimulationMathematics for MLGit

What you'll do

  • Work on designing a reward that produces the behaviour you wanted rather than the one you literally asked for alongside the core team
  • Apply Python, Reinforcement Learning, OpenAI Gym, PyTorch to live, production-facing problems
  • Document your work clearly for reviewers and stakeholders
  • Participate in reviews and act on the feedback you receive
  • Collaborate across engineering, product, design or business as required
  • Follow the team's quality, testing and documentation standards

Who can apply

  • Pursuing or recently completed B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT)
  • Graduating batch 2025, 2026 or 2027 — final-year students and recent graduates welcome
  • 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
  • Working knowledge of Python, Reinforcement Learning, OpenAI Gym (or a genuine willingness to learn them)
  • Exposure to PyTorch, Policy Gradients, Q-Learning is an advantage
  • Clear written and verbal communication in English, and care with detail in your work
  • No prior work experience required — this is a fresher-friendly internship
  • Based in Delhi, Delhi or willing to work from there for the internship period

Perks & benefits

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsBroad ownership and direct exposure to founders and senior decision-makers

Interview & selection process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer

About Newton School

Newton School operates in the edtech sector and has an active presence in Delhi. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work runs…
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