Fundamental Research Scientist - Generative AI

Meta Platforms, Inc.
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Job Description

  • Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
  • Work towards long-term ambitious research goals, while identifying intermediate milestones.
  • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
  • Work with a large team.
  • Contribute to publications and open-sourcing efforts.
  • Mentor other team members. Play a significant role in healthy cross-functional collaboration.
  • Prioritize research that can be applied to Meta's product development.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • PhD in computer vision, machine learning, NLP, computer science, applied statistics, or other related fields
  • Publications in machine learning
  • Experience writing software and executing complex experiments involving large AI models and datasets.
  • Proven work experience in a university or industry lab(s), in a lead role with primary emphasis on AI research
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

  • Direct experience in generative AI, computer vision and multimodal research.
  • 2+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.
  • First author publications experience at peer-reviewed AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, EMNLP, and ACL).
  • Experience in developing and debugging in Python.
  • Experience driving original scholarship in collaboration with a team

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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$143,000/year to $208,000/year + bonus + equity + benefits

 Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.

Company Info.

Meta Platforms, Inc.

Meta Platforms (formerly known as Facebook Inc.) is a large technology company that was founded in 2004 by Mark Zuckerberg and several of his college roommates. The company is based in Menlo Park, California, and is primarily known for its flagship social media platform, Facebook. In addition to its consumer-facing products, Meta Platforms also offers a range of advertising and marketing services to businesses and organizations.

  • Industry
    Advertising,Consumer electronics,Social media Company,Artificial intelligence
  • No. of Employees
    76,000
  • Location
    1 Hacker Way, Menlo Park, CA 94025, USA
  • Website
  • Jobs Posted

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Meta Platforms, Inc. is currently hiring Research Scientist, Generative AI Jobs in Menlo Park, CA, USA with average base salary of $143,000 - $208,000 / Year.

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