Research scientist red Job at Facebook App, New York, NY

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  • Facebook App
  • New York, NY

Job Description

The Generative AI Red Team aims to measure GenAI models' safety (in particular Llama models) and accelerate the world's AI development.We are looking for an AI research scientist, with passion for Generative AI and in particular measurement/assessment of these cutting edge models. You’d join one of our projects and build methods to solve open challenges and unblock the execution and application red teaming techniques to GenAI models, particularly Llama models.





AI Research Scientist, Generative AI Red Teaming Responsibilities:

  • Stay up-to-date with the latest developments in the field of Generative AI and safety in particular.
  • Collaborate with cross-functional teams to ensure that our GenAI models' safety is assessed leveraging state of the art solutions, and potentially co-develop them with partner teams.
  • Conduct research and deliver impact on the launch of GenAI models by assessing safety via red teaming exercises.
  • Communicate research findings and recommendations to stakeholders and scientific community.





Minimum Qualifications:

  • 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.
  • PhD in the field of Deep Learning, Machine Learning, Computer Vision, NLP, Computer Science or a related field.
  • Experience with conducting research and publishing in peer-reviewed journals and AI conferences.
  • Proven communication and collaboration skills.
  • Experience working under your own initiative and as part of a team.
  • 1+ year of experience after PhD.
  • Track record of setting technical direction, driving consensus and successful cross-functional partnership.
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.





Preferred Qualifications:

  • Background in Adversarial ML and GenAI, preferred.





About Meta:

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 proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.


Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.


$117,000/year to $173,000/year + bonus + equity + benefits


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

Job Tags

Hourly pay, Full time, Local area, Remote job,

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