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Research Scientist Intern, Gen AI Large Language Models (LLM) (PhD)

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Meta

17d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • New York

AI generated summary

  • You should be pursuing a Ph.D. in a relevant field, have programming experience, knowledge of LLMs, deep learning, significant research contributions, and strong communication skills.
  • You will advance LLM research, experiment with large-scale data, optimize systems for real-world use, collaborate with teams, and publish impactful findings.

Requirements

  • Currently pursuing or in the process of obtaining a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, NLP, CV, or a related technical field.
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship.
  • Experience with Python, C++, or related programming languages.
  • Proficiency in deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with developing and training LLMs, deep learning, or machine learning models on large-scale datasets.
  • Intent to return to the degree program after completing the internship/co-op.
  • Proven track record of significant research contributions, as demonstrated by grants, fellowships, patents, or publications at top conferences such as ACL, NAACL, EMNLP, NeurIPS, ICLR, ICML, AAAI, CVPR, ECCV, ICCV, KDD, IJCAI, or similar.
  • Hands-on experience with LLMs, including the latest advancements in text-only input and multimodal inputs for LLMs.
  • Expertise in training and optimizing large neural networks, particularly in the context of LLM applications.
  • Experience with the development and deployment of AI platforms that leverage LLMs, including those involving large-scale data management and GPU-accelerated compute.
  • Demonstrated software engineering expertise through internships, work experience, coding competitions, or contributions to open-source projects (e.g., GitHub).
  • Strong cross-functional communication skills and a collaborative mindset.

Responsibilities

  • Perform research to advance the science and technology of large language models and AI.
  • Experimenting LLM on large-scale (multimodal/multi-application) data. Improve the efficiency, scalability, and performance of LLM systems, optimizing for real-world applications.
  • Collaborate with researchers and cross-functional teams, sharing research plans, progress, and findings.
  • Contribute to Meta’s LLM-focused research and publish results that can impact Meta's products and services.

FAQs

What is the duration of the internship?

The internship lasts between twelve (12) to twenty-four (24) weeks.

Are there specific start dates for the internship?

Yes, there are various start dates throughout the year.

What educational qualifications are required for this internship?

Candidates must be currently pursuing or in the process of obtaining a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, NLP, CV, or a related technical field.

Is work authorization required for this position?

Yes, candidates must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship.

What programming languages are preferred for applicants?

Experience with Python, C++, or related programming languages is preferred.

Which deep learning frameworks should candidates be proficient in?

Candidates should be proficient in deep learning frameworks such as PyTorch or TensorFlow.

Do I need experience with large-scale datasets?

Yes, candidates should have experience developing and training LLMs, deep learning, or machine learning models on large-scale datasets.

Are there any preferred qualifications for the internship?

Yes, preferred qualifications include intent to return to the degree program and a proven track record of significant research contributions.

What kind of software engineering experience is desirable?

Demonstrated software engineering expertise through internships, work experience, coding competitions, or contributions to open-source projects is desirable.

What is the compensation range for this internship?

The compensation ranges from $7,800/month to $11,293/month, depending on skills, qualifications, experience, and location.

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Meta

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.