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Research Scientist Intern, AI Systems Machine Learning (PhD)

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Meta

1mo ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • Boston

AI generated summary

  • You need experience in Python/C++/PyTorch, a strong research track record, skills in scalable ML systems, data analysis, real-system implementations, and collaborative team communication.
  • You will conduct advanced machine learning research, develop data-driven AI models, collaborate with teams, and publish findings to enhance Meta's technology and product development.

Requirements

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

What kind of research will the intern be involved in?

The intern will perform state of the art research to advance the science and technology of machine learning systems and contribute to innovations in scalable machine learning systems, among other areas.

What qualifications are required for this internship?

The minimum qualifications include experience with Python, C++, C, Lua or other related languages and proficiency with the PyTorch framework.

Is there an opportunity for publication during the internship?

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

What are preferred qualifications for applicants?

Preferred qualifications include a proven track record of significant results in research, experience with scalable machine learning systems, and experience working and communicating cross-functionally in a team environment.

Can international students apply for this internship?

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

What is the compensation range for this internship?

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

What types of projects may the intern work on?

The intern may work on projects involving deep learning, computer vision, audio and speech processing, natural language processing, and machine learning system design and optimization.

Are there any specific programming languages or tools the intern should be familiar with?

Yes, familiarity with Python, C++, C, Lua, and the PyTorch framework is required.

What kind of work environment can interns expect at Meta?

Interns can expect a collaborative work environment, working with researchers and cross-functional partners, and opportunities to make an impact through their research.

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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.