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

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Meta

1mo ago

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

AI generated summary

  • You should be pursuing a Ph.D. in a related field, have programming experience, deep learning proficiency, LLM expertise, research contributions, software engineering skills, and strong communication abilities.
  • You will advance LLM research, experiment on 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 for the Research Scientist Intern position?

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

What qualifications are required to apply for this position?

Applicants 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 internship?

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 should candidates be proficient in?

Candidates should have experience with Python, C++, or related programming languages.

What deep learning frameworks are preferred for this position?

Proficiency in deep learning frameworks such as PyTorch or TensorFlow is required.

Are there any preferred qualifications for this internship?

Yes, preferred qualifications include a proven track record of significant research contributions, hands-on experience with LLMs, expertise in training and optimizing large neural networks, and strong cross-functional communication skills.

What kind of projects will the intern work on?

Interns will perform research to advance the science and technology of large language models and AI, experiment with LLMs on large-scale data, and collaborate with researchers and cross-functional teams.

What is the compensation range for this internship?

The compensation range is $7,800/month to $11,293/month, with additional benefits.

Does Meta have a policy for reasonable accommodations during the recruitment process?

Yes, Meta is committed to providing reasonable accommodations for candidates with disabilities during the recruiting process.

Is previous experience with large language models (LLMs) necessary?

Experience with developing and training LLMs on large-scale datasets is required, along with familiarity with the latest advancements in text-only and multimodal inputs.

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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.