Meta - Menlo Park, CA

posted 4 months ago

Full-time - Entry Level
Menlo Park, CA
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About the position

Meta is seeking Research Scientists to join its Fundamental AI Research (FAIR) organization to work on making significant advances in AI. The ideal candidates will have a strong background in vision-language models and general AI, and will be tasked with investigating how to build contextually aware AI that will serve as the foundation for a new paradigm in human-computer interaction. The selected candidates will collaborate with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting-edge technology, resources, and research facilities. In this role, the Research Scientist will be responsible for developing algorithms based on state-of-the-art machine learning and neural network methodologies. They will define, build, and benchmark new capabilities needed for the next generation of AI. The position involves working with and creating large datasets, conducting research to advance the science and technology of intelligent machines, and pursuing long-term ambitious research goals while identifying intermediate milestones. Additionally, the Research Scientist will conduct research that enables learning the semantics of data across multiple modalities, including images, video, text, audio, speech, and other modalities.

Responsibilities

  • Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
  • Define, build and benchmark new capabilities needed for the next generation of AI.
  • Work with and create large datasets.
  • Conduct research to advance the science and technology of intelligent machines.
  • Conduct research towards long-term ambitious research goals while identifying intermediate milestones.
  • Conduct research that enables learning the semantics of data across multiple modalities (images, video, text, audio, speech and other modalities).

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 PhD in the field of Computer Vision, Language, Machine Learning, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Research Experience in deep learning, computer vision, robotics, or AI infrastructure.
  • Experience with Python and PyTorch.
  • Experience writing software and executing complex experiments.
  • Experience communicating research for public audiences of peers.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Nice-to-haves

  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CVPR, ICCV, NeurIPS, SIGGRAPH, or similar.
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
  • Experience working and communicating cross functionally in a team environment.

Benefits

  • Competitive salary ranging from $117,000 to $173,000 per year, plus bonus and equity.
  • Comprehensive health insurance coverage.
  • Retirement savings plan with 401(k) options.
  • Paid time off and holidays.
  • Opportunities for professional development and continued education.
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