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Facebook Visiting Researcher, Methods/Models for Human Perception in Indianapolis, Indiana


Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.


We are looking for a skilled and motivated visiting scientist to join our team, whose mission is to build broad-coverage models of human perception and perceptually-driven outcomes. We are specifically looking for a candidate with experience in fields applicable to human-in-the-loop experimentation in human perception or related domains, and who can work with a team of researchers at the intersection between psychophysics, computational cognitive science, and machine learning. More broadly, the chosen candidate will work with a diverse and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and testing facilities.

Required Skills:

  1. Advance the state-of-the-art in human-in-the-loop experimentation for perception and perceptually-informed outcomes.

  2. Consult and collaborate with partner and client teams to deploy experimentation tooling in real experiments and experiences.

Minimum Qualifications:

  1. Currently has, or is in the process of obtaining, a Ph.D. degree in psychology, cognitive science, neuroscience, machine learning, statistics, data science, or a related area, or equivalent work experience.

  2. 2+ years research experience in an area with potential applications to human-in-the-loop experimentation in human perception and related domains. Example areas include computational cognitive science, computational neuroscience, psychophysics, active learning, deep Bayesian learning, Gaussian Process models, hierarchical/multitask models, or other relevant areas, as demonstrated via publications (conference or journal), open-source contributions, or similar venues.

  3. 1+ years of experience communicating and collaborating with other researchers, as demonstrated by collaborative projects or co-authored research presentations, material (publications/blog posts), or similar.

  4. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications:

  1. Experience with crossing disciplinary boundaries, for example from machine learning and statistics to cognitive science, from applied mathematics to neuroscience, or similar, as demonstrated by collaborations across disciplinary domains.

  2. Experience creating research software used by others, for example as part of an academic collaboration, an open-source project, or equivalent.

  3. Experience with SciPy/NumPy and at least one automatic differentiation framework (PyTorch, TensorFlow, JAX, Stan, etc.) -- PyTorch preferred.

Industry: Internet

Equal Opportunity: Facebook is proud to be an Equal 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. Facebook 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.