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Research Scientist Intern, RL and Agents Team, PhD (Paris)
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Summary

Location

Paris

Type

internship

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About this role

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization. Meta is seeking Research Interns to join our Meta Superintelligence Lab in one of the post-training modeling team, with a focus on Agentic AI and Products. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies that help interact with and understand our world. We are seeking individuals passionate about agentic AI, including but not limited to LLM agentic tool use, personalized AI agents, LLM agentic post-training, LLM reasoning/coding, and related areas. Our interns have an opportunity to make core algorithmic advances, prototype agentic features for Meta products, and apply their ideas at an unprecedented scale. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.

Responsibilities

  • Develop novel state-of-the-art agentic AI algorithms and corresponding systems, leveraging machine learning and reinforcement learning techniques.
  • Conduct research on agentic LLMs, agentic RL environments, LLM post-training, and related topics.
  • Analyze and improve the efficiency, scalability, and stability of agentic AI algorithms and deployed systems.
  • Advance the science and technology of intelligent, agentic machines capable of reasoning, tool use, and personalized interactions.
  • Collaborate with researchers and cross-functional partners, including communicating research plans, progress, and results.
  • Disseminate research results through publications, presentations, and open source contributions.
  • When applicable, contribute to research that can be applied to Meta product development.
  • Experience with Python, C++, C, Java or other related languages.
  • Experience building systems based on machine learning and/or deep learning methods.


Minimum Qualifications

  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Generative AI, or a relevant technical field
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Experience with Python, C++, C, Java or other related languages
  • Experience building systems based on machine learning and/or deep learning methods


Preferred Qualifications

  • Intent to return to the degree program after the completion of the internship/co-op
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, or similar
  • Experience working and communicating cross functionally in a team environment
  • Experience in advancing agentic AI techniques, including core contributions to open source libraries and frameworks in agentic LLMs or RL environments
  • Publications or experience in agentic AI, LLMs, reinforcement learning, reasoning/coding, optimization, computer science, statistics, applied mathematics, or data science
  • Experience solving analytical problems using quantitative approaches
  • Experience setting up ML experiments and analyzing their results
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience with deep learning frameworks

Other facts

Tech stack
Reinforcement Learning,Agentic AI,LLM Agentic Tool Use,Personalized AI Agents,LLM Agentic Post-Training,LLM Reasoning,Coding,Machine Learning,Deep Learning,Python,C++,C,Java,Algorithmic Advances,System Prototyping,Scalability

About Meta

Meta's mission is to build the future of human connection and the technology that makes it possible.

Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:

• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).

For a full listing of our jobs, visit https://www.metacareers.com

Meta's mission is to build the future of human connection and the technology that makes it possible.

Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:

• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).

For a full listing of our jobs, visit https://www.metacareers.com

Team size: 136778
LinkedIn: Visit
Industry: Software Development

What you'll do

  • Develop novel state-of-the-art agentic AI algorithms and systems using machine learning and reinforcement learning, while conducting research on agentic LLMs, RL environments, and LLM post-training. Responsibilities also include analyzing system efficiency, collaborating with partners, and disseminating research results through publications and open source contributions.

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Frequently Asked Questions

What does a Research Scientist Intern, RL and Agents Team, PhD (Paris) do at Meta?

As a Research Scientist Intern, RL and Agents Team, PhD (Paris) at Meta, you will: develop novel state-of-the-art agentic AI algorithms and systems using machine learning and reinforcement learning, while conducting research on agentic LLMs, RL environments, and LLM post-training. Responsibilities also include analyzing system efficiency, collaborating with partners, and disseminating research results through publications and open source contributions..

Why join Meta as a Research Scientist Intern, RL and Agents Team, PhD (Paris)?

Meta is a leading Software Development company.

Is the Research Scientist Intern, RL and Agents Team, PhD (Paris) position at Meta remote?

The Research Scientist Intern, RL and Agents Team, PhD (Paris) position at Meta is based in Paris, Ile-de-France, France. Contact the company through Clera for specific work arrangement details.

How do I apply for the Research Scientist Intern, RL and Agents Team, PhD (Paris) position at Meta?

You can apply for the Research Scientist Intern, RL and Agents Team, PhD (Paris) position at Meta directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Meta on their website.