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Research Scientist, Systems for ML (PhD)

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Meta

Feb 12

Applications are closed

  • Job
    Full-time
    Entry Level
  • Data
  • New York City, +2

Requirements

  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science or Computer Engineering with a focus in Systems and Machine Learning or relevant technical fields. Degree must be completed prior to joining Meta.
  • 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.
  • Preferred Qualifications:
  • 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.
  • Experience in utilizing theoretical and empirical research to solve problems.
  • 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.

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.