Research Scientist - FAIR, AI Security

Meta is looking for a Research Scientist to join its Fundamental AI Research (FAIR) organization, an organization focused on making significant advances in AI. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community. We closely collaborate with other organizations at Meta to bring the latest research findings to production.

We are looking for a Research Scientist to join a FAIR team exploring new approaches to making AI safer, fighting deepfakes and preventing harmful content. Past work in that space include watermarking models such as Stable Signature, AudioSeal or VideoSeal. The mission is to develop state of the art algorithms with a focus on open research and scientific novelty.Research Scientist - FAIR, AI Security Responsibilities

• Perform research to tackle unsolved real-world problems and push the state of the art in AI security, including watermarking
• Drive software design, implementation and evaluation of research solutions
• Work with a globally distributed organization spanning several expertise areas (research, engineering, production, external partners)

Minimum Qualifications

• Currently has or is in the process of obtaining a PhD degree in Deep Learning, Machine Learning or equivalent practical experience. Degree must be completed prior to joining Meta.
• Research experience in one or more of these areas: audio generation, video generation, machine learning, deep learning, or related fields.
• Experience working with machine learning libraries like Pytorch, Tensorflow, etc.
• Expert knowledge of deep learning and neural networks.
• Experience with scripting languages such as Python and shell scripts.
• 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 publications at leading conferences such as ACL, EMNLP, ICASSP, INTERSPEECH, ICCV, CVPR, ICRL, ICML, NeurIPS or similar.
• Experience with large scale model training, implementing algorithms, and evaluating AI models.
• Experience working and communicating cross functionally in a team environment.
• Experience with cryptography or invisible/inaudible watermarking

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.


Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.