RESEARCH SCIENTIST, STATISTICS & PRIVACY

£0

Message

Add to favorites

Friday, March 10, 2023 at 2:32:42 AM Coordinated Universal Time

Local

United Kingdom England UK, West Midlands, Birmingham

RESEARCH SCIENTIST, STATISTICS & PRIVACY

Add to favorites Message

£0

Description

Full-time
10,001+ employees · Internet Publishing
Actively recruiting

About the job

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.

Research Scientist, Statistics & Privacy Responsibilities:

Assess potential opportunities and execute world-class research associated with your area of scientific expertise
Design and prototype new algorithms, optimization methods, and system architectures to advance our long-term priorities
Establish approaches to rigorously assess validity and relative performance of new technologies or strategies
Build cross-functional collaborations with Engineering, Product and Analytics teams to shape roadmaps with a balance of scientific rigor and strategic considerations
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on
Apply communication skills to engage diverse audiences on technical topics and nuanced insights
Develop patent applications, white papers, conference presentations, and publications that are broadly appealing and accessible beyond a core scientific audience.

Minimum Qualifications:

PhD in computer science, electrical engineering, statistics, mathematics, or a related field
Understanding of modern machine learning techniques and their mathematical underpinning
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
Proficiency in Python
Proficiency communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training
First-author publications at peer-reviewed conferences (e.g. NeurIPS, ICML, ACL, EMNLP, SIGIR, WWW, AISTATS) or disciplinary journals (e.g. JAIR, JMLR, TKDE)

Preferred Qualifications:

Development experience specific to online advertising and/or electronic commerce
Proficiency with Presto, Hive or Spark SQL
Experience developing and debugging in C/C++ and Java