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Research Scientist Intern, GenAI Llama Multimodal Data Research (PhD)

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Meta

1mo ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • Menlo Park

AI generated summary

  • You should have a Ph.D. in a relevant field, research experience in ML and CV, proficiency in Python/C++/Java, and familiarity with Pytorch or Tensorflow. Work authorization is needed.
  • You will conduct research on Llama multimodal data, develop advanced algorithms, collaborate with teams, and publish findings to enhance AI models and contribute to product development.

Requirements

  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, Generative AI, 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
  • Research experience in machine learning, deep learning, computer vision and/or natural language processing
  • Experience with Python, C++, C, Java or other related languages
  • Experience with deep learning frameworks such as Pytorch or Tensorflow

Responsibilities

  • Perform research to advance the science and technology of Llama multimodal training data and modeling recipes
  • Develop novel state-of-the-art multimodal generative AI data, algorithms and corresponding systems, leveraging various deep learning techniques
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
  • Disseminate research results
  • Publish research results and contribute to research that can be applied to Llama models and Meta product development

FAQs

What is the duration of the internship for the Research Scientist Intern position?

The internship duration is twelve (12) to twenty-four (24) weeks long.

What qualifications are required to apply for this position?

Applicants must currently have or be in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, Generative AI, or a relevant technical field.

Is a background in machine learning or deep learning necessary for this role?

Yes, research experience in machine learning, deep learning, computer vision, and/or natural language processing is required.

What programming languages should applicants be familiar with?

Applicants should have experience with Python, C++, C, Java, or other related programming languages.

Which deep learning frameworks should candidates know?

Candidates should be familiar with deep learning frameworks such as PyTorch or TensorFlow.

Are there any preferred qualifications for this internship?

Yes, preferred qualifications include a proven track record of significant results, experience in a team environment, and publications in relevant fields.

Will interns have the opportunity to publish their research?

Yes, interns are expected to publish research results and contribute to research applicable to Llama models and Meta product development.

Do applicants need to maintain work authorization during the internship?

Yes, applicants must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Is experience with large-scale data analysis required?

Preferred qualifications include experience manipulating and analyzing complex, large-scale, high-dimensionality data from various sources.

What benefits does Meta offer to interns?

In addition to competitive compensation, Meta offers various benefits, which can be learned more about in the details provided during the application process.

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

Meta builds technologies that 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.