Postdoctoral Researcher, Central Applied Science, Privacy Research (PhD) Responsibilities:

• Assess potential opportunities and execute world-class research associated with privacy-preserving solutions.
• Design and prototype new algorithms or mechanisms, optimization methods, and system architectures.
• Derive theoretical formulations when necessary.
• Implement new algorithms or mechanisms, deploy them into internal or open-sourced libraries and tooling platforms, and conduct empirical studies on internal datasets to showcase value for real world applications.
• Publish research results in top-tier journals and at leading international conferences.
• Establish collaborations and communications externally with academia and industry.

Minimum Qualifications:

• Currently has or is in the process of obtaining a PhD degree in Computer Science, Statistics, Mathematics, or similar quantitative field. Degree must be completed prior to joining Meta.
• 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.
• Proven understanding of modern machine learning techniques and their mathematical underpinning.
• Experience with at least one of the following privacy technologies: (i) Differential Privacy, (ii) Privacy Attacks and Auditing for ML model risks.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Experience to communicate complex research for public audiences of peers.
• First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR, etc.).
• Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets.
• Proficiency in Python.

Preferred Qualifications:

• Experience working and communicating cross functionally in a team environment.
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
• 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, etc.
• Experience working in an industry applied research environment.
• Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use.
• Familiarity with one or more deep learning frameworks (e.g. PyTorch, TensorFlow, etc.).
• Proficiency in C or C .

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.