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Research Scientist Intern, AI Systems Machine Learning (PhD)

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Meta

2mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Menlo Park

AI generated summary

  • You must be pursuing a Ph.D. in AI or ML, have research experience, coding skills in Python/C++, publications, and expertise in scalable, efficient ML systems and real-system implementations.
  • You will conduct cutting-edge research in machine learning, optimize AI systems, collaborate with teams, and publish findings to enhance Meta's products across various data modalities.

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 internship for the Research Scientist Intern position?

The internship can last from twelve (12) to sixteen (16) or twenty-four (24) weeks.

What are the minimum qualifications required for this internship?

Candidates must be in the process of obtaining a Ph.D. in Machine Learning, Systems, Artificial Intelligence, or a relevant technical field, have research experience in relevant areas, and proficiency in programming languages such as Python, C++, C, Lua, or similar, as well as experience with the PyTorch framework.

What is the preferred qualification for candidates applying for this position?

A preferred qualification is an intent to return to the degree program after the completion of the internship/co-op, along with a proven track record of achievements in the form of grants, fellowships, patents, or publications at leading workshops or conferences.

Are there any specific programming languages or frameworks required for this role?

Yes, experience with Python, C++, C, Lua, or related languages and with the PyTorch framework is required.

Will the internship allow me to publish research results?

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

Is a 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 during employment.

What kind of research will interns be expected to perform?

Interns will perform research to advance the science and technology of machine learning systems, enable learning the semantics of various data modalities, and contribute to innovations in scalable machine learning systems and environmentally-sustainable AI designs.

How is compensation determined for this internship?

Compensation is determined by skills, qualifications, experience, and location, and ranges from $7,800/month to $11,293/month plus benefits.

Does Meta provide accommodations for candidates with disabilities?

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

Are there opportunities for collaboration with other researchers in this role?

Yes, interns will collaborate with researchers and cross-functional partners, including communicating research plans, progress, and results.

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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.

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