Facebook App Looking For Research Scientist – Statistical Learning and Experimentation at Austin, TX Full Time

Our Statistics & Privacy team focuses on establishing step-change improvements to advance our long-term business growth. The team’s expertise spans many domains including statistics, machine learning, economics, and cryptography. We develop methodologies, design and prototype solutions, and partner with our engineering colleagues to launch these solutions such that 3 billion people and 200 million businesses on our platform can benefit. Examples include internal and external experimentation platforms, ads delivery optimization for efficient causal outcomes, and the application of privacy enhancing technologies across our ads product stack.

Facebook seeks industry-experienced Research Scientists to join Statistics & Privacy and serve as scientific leaders for cutting-edge applied research. Such work necessitates identification and evaluation of new research opportunities, and development of scientifically rigorous systems. Research scientists drive forward prototypes and methodologies, and build consensus with engineering stakeholders as to the scientific and strategic merit of our initiatives. This role will focus on ranking, delivery, and experimentation systems that power our advertising and commerce capabilities. This work is critical to our long-term product development, and we expect research scientists to provide both scientific expertise and creative solutions to accelerate their project area.

Research Scientist – Statistical Learning and Experimentation Responsibilities:

Identify specific, high-impact opportunities to build new and improve existing advertising and commerce solutions

Design and prototype new algorithms, optimization methods, and system architectures with a focus on deep learning (retrieval, ranking, recommender systems), experimentation and inference systems

Build cross-functional relationships to shape long-term roadmaps with a balance of scientific rigor and strategic considerations

Learn new tools, systems and languages quickly as required by the particular project you are working on

Develop patent applications, white papers, conference presentations, and publications that are broadly appealing and accessible beyond a core scientific audience

Minimum Qualifications:
PhD in a quantitative field such as statistics, computer science, physics, or computational social science, or MS/MA degree with 4+ additional years of relevant experience

First-author publications at peer-reviewed conferences (e.g. NeurIPS, ICML, JSM, KDD) or disciplinary journals

Expertise in statistics (particularly causal inference and Bayesian inference) or deep learning (particularly ranking, retrieval and recommender systems), including addressing challenges from incomplete, unrepresentative, and mislabeled data

Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets

Expertise in Python, Julia, or R

Proficiency in communicating analyses and establishing confidence among audiences who do not share your disciplinary background or training

Track record of product or systems innovation, and strategic focus

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 [email protected].