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Research Scientist Intern, FAIR Embodiment & Actions (PhD)
internshipParis

Summary

Location

Paris

Type

internship

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About this role

We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, audio and speech processing, natural language processing. World modeling and multimodal reasoning. Our interns have an opportunity to make core algorithmic advances 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 and accurate multimodal algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources.
  • Analyze and improve efficiency, scalability, and stability of various deployed systems.
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
  • Contribute to research that can be applied to Meta product development and publish results with other researchers.


Minimum Qualifications

  • Currently has or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Multimodality (e.g. vision-language models), or 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 with deep learning frameworks such as Pytorch or Tensorflow
  • Experience building systems based on machine learning, deep learning methods, or natural language processing


Preferred Qualifications

  • Intent to return to a 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, ICLR, ICML, ACL, NAACL, EMNLP, or similar
  • Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval
  • Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • Experience with training deep neural networks for key NLP tasks
  • Experience with interpreting deep neural networks mechanistically, correlating their observable behavior with properties of model parameters and activations
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience working and communicating cross functionally in a team environment

Other facts

Tech stack
Deep Learning,Machine Learning,Multimodal Algorithms,Python,C++,Java,Pytorch,Tensorflow,Natural Language Processing,Audio Processing,Speech Processing,World Modeling,Multimodal Reasoning,Data Analysis,Software Engineering,Collaboration

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

  • The intern will develop novel multimodal algorithms and systems using deep learning on large datasets. They will also analyze and improve the efficiency and stability of deployed systems while collaborating with researchers.

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Frequently Asked Questions

What does a Research Scientist Intern, FAIR Embodiment & Actions (PhD) do at Meta?

As a Research Scientist Intern, FAIR Embodiment & Actions (PhD) at Meta, you will: the intern will develop novel multimodal algorithms and systems using deep learning on large datasets. They will also analyze and improve the efficiency and stability of deployed systems while collaborating with researchers..

Why join Meta as a Research Scientist Intern, FAIR Embodiment & Actions (PhD)?

Meta is a leading Software Development company.

Is the Research Scientist Intern, FAIR Embodiment & Actions (PhD) position at Meta remote?

The Research Scientist Intern, FAIR Embodiment & Actions (PhD) 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, FAIR Embodiment & Actions (PhD) position at Meta?

You can apply for the Research Scientist Intern, FAIR Embodiment & Actions (PhD) 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.