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Reinforcement Learning Intern Jobs in Edison, NJ

Quadrillion Labs, Inc

Research Intern

New York, NY · On-site

$300K - $500K/yr

  • Medical

  • Dental

  • Vision

We're hiring a Research Intern to help us answer a question no one has answered yet: how do you ... into reinforcement learning environments, designing reward signals for ambiguous, long-horizon ...

Modal, Inc

ML Research Intern

New York, NY · On-site

We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our ...

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How much do reinforcement learning intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for reinforcement learning intern in Edison, NJ is $17.64, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $19.90 per hour, depending on experience, location, and employer.

What is a reinforcement learning intern?

A Reinforcement Learning (RL) Intern is responsible for researching, developing, and testing RL algorithms to solve complex problems. They typically work on tasks such as implementing reinforcement learning models, optimizing reward functions, and running experiments in simulated environments. Interns collaborate with researchers and engineers to refine models and improve the efficiency of RL systems. They usually have experience in machine learning, deep learning, and programming languages like Python. The role provides hands-on experience in applying RL techniques to real-world applications.

What are the key skills and qualifications needed to thrive as a reinforcement learning intern?

To thrive as a Reinforcement Learning Intern, you need strong knowledge of machine learning fundamentals, programming proficiency (usually in Python), and a background in mathematics or computer science, often demonstrated through academic coursework or relevant projects. Familiarity with popular machine learning libraries such as TensorFlow, PyTorch, and RL-specific frameworks like OpenAI Gym is typically expected. Effective problem-solving skills, attention to detail, and the ability to communicate technical findings clearly are valuable soft skills in this position. These capabilities enable interns to contribute meaningfully to research and development efforts, bridging theory and practical application in real-world reinforcement learning projects.

What kinds of projects or tasks can I expect to work on as a reinforcement learning intern?

As a Reinforcement Learning Intern, you will typically work on tasks such as designing, implementing, and testing reinforcement learning algorithms, analyzing experimental results, and assisting with data preprocessing or environment development. You may also collaborate with senior researchers and engineers, participate in code reviews, and contribute to technical discussions or team meetings. In many organizations, interns are given the chance to work on real-world problems—ranging from optimizing robotic control systems to enhancing recommendation engines. This hands-on experience not only builds your technical expertise but also helps you develop valuable teamwork and communication skills, preparing you for a future career in AI or machine learning.

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Research Intern

Quadrillion Labs, Inc

New York, NY • On-site

$300K - $500K/yr

Full-time

Medical, Dental, Vision

Posted 8 days ago

Job description

We're hiring a Research Intern to help us answer a question no one has answered yet: how do you train a model that is genuinely good at research?
This is hard, and largely uncharted. Very few groups have managed to teach LLMs to perform the open-ended, long-horizon reasoning that real research demands: forming a hypothesis, designing an experiment, reading the result, and deciding what to try next. We're doing it with a small team and a strong prior that research data can be used in a highly efficient and ingenious way.
As a Research Intern, you'll own a real research question rather than a ticket. Depending on your interests, that might mean turning a corpus of arXiv papers into reinforcement learning environments, designing reward signals for ambiguous, long-horizon research tasks, building tight RL loops between user data and model training, or constructing research-focused benchmarks.
What you'll do
  • Post-train models for scientific and computational research tasks
  • Build evaluations and benchmarks for such tasks, and use them to measure frontier models and our own

Required qualifications
  • Currently enrolled in a PhD program in Computer Science, Statistics, or Linguistics
  • Research experience in at least one area of machine learning or its neighbors (natural language processing, deep learning, reinforcement learning, optimization, statistics, etc.)
  • Ability to move quickly in a zero-to-one environment

Preferred qualifications
  • A track record of research contributions, such as first-author publications at major ML conferences (NeurIPS, ICML, ICLR) or strong journals.
  • Hands-on experience training, fine-tuning, or benchmarking large modern models.
  • Enrolled at a degree program in the US or Canada, returning to the program after the internship.

About this role
We work in-person 5 days a week out of our office in Midtown Manhattan. We cover generous benefits for employees, including medical, dental, and vision insurance, lunch and dinner covered, and other varied stipends.
We pride ourselves on a company culture that values a diversity of thoughts and opinions.
About Quadrillion
Quadrillion Labs builds Qualia, an agentic research intelligence platform that does real computational research - running experiments, analyzing data, and surfacing insight for the people who do this work at the highest level.
We're a team out of Stanford NLP, HRT, Citadel, Jane Street, Google Research, and Harvard Med, building for an audience that looks a lot like us. We've raised ~$18M from Conviction, Audacious, Bloomberg Beta, ex/ante, and angels including Wes McKinney, the creator of pandas. We're ~10 people in NYC, scaling to ~15 in the coming months.
We think this is the Industrial Revolution moment for research, and we're building the team to define what comes next.
Equal Employment Opportunity
Quadrillion Labs is an equal opportunity employer. We make hiring and employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by federal, state, or local law. We are committed to building a team where talented people can do their best work.
If you need a reasonable accommodation during the application or interview process, let us know at careers@quadrillion.io.

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