Logo of Huzzle

Home

Matches

Explore

Manage

Research Scientist Intern, Llama Reasoning (PhD)

image

Meta

Dec 28

Applications are closed

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

Requirements

  • 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.
  • 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 AI techniques, including core contributions to open source libraries and frameworks in computer vision.
  • 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 training and aligning LLMs.

Responsibilities

  • Develop state-of-the-art generative AI algorithms and data, to help more effectively align our LLMs during post-training stages.
  • Improve the performance of our foundational Llama models, which have wide open source adoption.
  • Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
  • Disseminate research results.
  • When applicable, contribute to research that can be applied to Meta product development.

FAQs

What is the duration of the internship?

The internship lasts twelve (12) to sixteen (16), or twenty-four (24) weeks.

What qualifications are required for this internship?

Candidates must have work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment. They should also have experience with Python, C++, C, Java, or other related languages, as well as experience building systems based on machine learning and/or deep learning methods.

Are there any preferred qualifications for applicants?

Yes, preferred qualifications include intent to return to the degree program after the internship, a proven track record of significant results (grants, fellowships, patents, publications), experience in cross-functional team communication, and experience in advancing AI techniques and training/aligning LLMs.

What types of tasks will the intern be involved in?

Interns will develop generative AI algorithms, improve the performance of foundational Llama models, analyze and improve algorithm efficiency and stability, collaborate with researchers, and disseminate research results.

What can interns expect to learn during their internship?

Interns can expect to make core algorithmic advances, apply their research ideas at scale, and gain hands-on experience with generative AI technologies and collaboration in a professional research environment.

What is the monthly compensation range for this internship?

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

Is there a possibility for full-time employment after the internship?

While the position is primarily an internship, many interns do have the opportunity to secure full-time roles after completing their degree programs, depending on performance and business needs.

How can I apply for this internship?

Interested candidates can apply through the Meta careers website or job portal, submitting their resume and any required documents or information.

What types of projects might interns contribute to during their internship?

Interns may contribute to projects focused on generative modeling, deep learning, natural language processing, and reinforcement learning, aimed at improving Llama models and advancing AI technologies.

Is there training or onboarding for new interns?

Yes, interns typically undergo onboarding and training specific to their role and projects, including introductions to the tools, technologies, and teams they will work with.

image

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.

Get notified when Meta posts a new role

Get Hired with Huzzle

Discover jobs with AI-powered precision. Autofill and track applications, create tailored resumes, and find the best opportunities across the web – all by simply chatting.

Already have an account?