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Facebook Research Scientist — Ads Long-Term Technology Track in Helena, Montana

Intro:

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.

Summary:

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 across Meta to launch these solutions such that 3 billion people, 200 million businesses, and 10 million advertisers can benefit. Examples include experimentation platforms, ranking and recommender systems, and privacy-enhancing technologies.

Meta seeks industry-experienced Research Scientists to join Statistics & Privacy and serve as scientific leaders for cutting-edge applied research spanning artificial intelligence, machine learning, and statistics. 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 developing a sequence of creative approaches that form a long-term strategy to power our advertising 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.

Required Skills:

  1. Identify specific, high-impact opportunities and execute world-class research associated with your area of scientific expertise

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

  3. Establish approaches to rigorously assess validity and relative performance of new technologies or strategies

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

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

  6. Apply communication skills to engage diverse audiences on technical topics and nuanced insights

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

Minimum Qualifications:

  1. PhD in computer science, electrical engineering, statistics, physics, mathematics, or a related field

  2. Understanding of modern machine learning techniques and their mathematical underpinning

  3. 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

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

  5. Proficiency communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training

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

  7. Expertise in data analysis languages (Python, R or Julia)

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.

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