Logo of Huzzle

Home

Matches

Explore

Manage

Research Scientist Intern, AI Systems Machine Learning (PhD)

image

Meta

2mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Boston

AI generated summary

  • You must be pursuing a Ph.D. in a relevant field, have research experience in AI and systems, proficient in Python/C++/PyTorch, and demonstrate significant achievements and software engineering skills.
  • You will conduct advanced research in machine learning, develop data-driven AI models, collaborate with teams, and publish findings that influence product development and optimize AI systems.

Requirements

  • Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Systems, Artificial Intelligence, or relevant technical field.
  • Research experience in systems, computer architectures, compiler and programming languages, machine learning, and artificial intelligence.
  • Experience with Python, C++, C, Lua or other related languages and with PyTorch framework.
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
  • 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, MLSys, ISCA, ASPLOS, CGO, PLDI, PACT, HPCA, MICRO, or similar.
  • Experience developing and optimizing systems for at-scale machine learning execution.
  • Experience in real-system implementations.
  • Experience devising data-driven models and real-system experiments and design implementation for AI system optimization.
  • Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures.
  • Experience with memory and energy-efficient AI systems, environmentally-sustainable AI system designs, or AI-driven system optimization.
  • Experience solving analytical problems using quantitative approaches.
  • Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources.
  • Experience in utilizing theoretical and empirical research to solve problems.
  • Experience building systems based on machine learning and/or deep learning methods.
  • 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.

Responsibilities

  • Perform state of the art research to advance the science and technology of machine learning systems.
  • Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
  • Devise better data-driven models of AI system design and optimization.
  • Contribute research that leads to innovations in: scalable machine learning systems, resource-efficient AI data and algorithm scaling and neural network architectures, memory and energy-efficient AI systems, environmentally-sustainable AI system and hardware designs.
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
  • Publish research results and contribute to research that impacts Meta product development.

FAQs

What is the duration of the Research Scientist Intern position?

The internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long.

What are the start dates for the internship?

There are various start dates throughout the year.

What qualifications are required for this internship?

Candidates must currently have or be in the process of obtaining a Ph.D. degree in Machine Learning, Systems, Artificial Intelligence, or a relevant technical field.

Is prior research experience necessary for this position?

Yes, research experience in systems, computer architectures, compiler and programming languages, machine learning, and artificial intelligence is required.

Which programming languages and frameworks should applicants be familiar with?

Applicants should have experience with Python, C++, C, Lua, or other related languages and with the PyTorch framework.

Are there any preferred qualifications for this internship?

Yes, preferred qualifications include the intent to return to the degree program after the internship, significant achievements in research, and experience in developing scalable machine learning systems, among others.

What kind of research will the intern be involved in?

Interns will perform state-of-the-art research in machine learning systems, data semantics, AI system design, and contribute to innovations in scalable and resource-efficient AI systems.

How important is collaboration in this role?

Collaboration is essential, as interns will work with researchers and cross-functional partners and must communicate research plans, progress, and results effectively.

Will interns have the opportunity to publish their research findings?

Yes, interns are expected to publish their research results and contribute to work that impacts Meta product development.

What kind of support does Meta provide for candidates with disabilities?

Meta is committed to providing reasonable accommodations for candidates with disabilities in the recruiting process.

What is the salary range for this internship?

The salary range for this position is $7,800/month to $11,293/month, plus benefits.

Does Meta provide work authorization for international candidates?

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

Is this internship suitable for students?

Yes, it is ideal for students pursuing a Ph.D. who intend to return to their degree program after the internship.

Are there opportunities for significant contributions to the field of AI during the internship?

Yes, interns have the opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale, potentially impacting the field of AI.

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.