Research Scientist, Central Applied Science (PhD)

Meta; London; On-site; GBP 80,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Research Scientist in Central Applied Science, where your expertise in machine learning and quantitative methods will empower you to drive innovation across diverse products and operations. This role offers the opportunity to work with vast datasets, develop cutting-edge algorithms, and publish your findings in top-tier journals. Collaborate with a talented team of scientists and engineers to tackle complex real-world problems, while contributing to Meta's long-term vision of immersive social technology. If you're passionate about research and eager to make a significant impact, this is the perfect opportunity for you.

Qualifications

• PhD in Computer Science or Data Science required.
• Experience with Python, R, and empirical research is essential.

Responsibilities

• Work with large datasets to generate impactful research questions.
• Develop novel quantitative methods leveraging Meta's data infrastructure.

Skills

Machine Learning

Causal Inference

Optimization

Empirical Research

Problem Solving

Education

PhD in Computer Science

PhD in Data Science

Tools

Python

R

C++

Java

Presto

Hive

Spark

Job description

Research Scientist, Central Applied Science (PhD)

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas including machine learning, causal inference, and optimization. The ideal candidate will have experience building data-driven products and forming research frameworks to solve challenging, real-world problems.

Responsibilities

1. Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
2. Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
3. Learn new tools, systems, and programming languages quickly as required by the particular project you are working on.
4. Work towards long-term ambitious research goals, while identifying intermediate milestones.
5. Communicate best practices in quantitative analysis to partners.
6. Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.
7. Publish research results in top-tier conferences and at leading journals.
8. Actively identify new opportunities within Meta's long term roadmap for applied science contributions.

Minimum Qualifications

1. Currently has or is in the final stages of obtaining a PhD in the field of Computer Science, Data Science, or a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
2. Experience with empirical research and for answering questions with data.
3. Experience developing algorithms in languages like Python, C, C++ or Java.
4. Experience analyzing datasets using languages like Python or R.
5. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications

1. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
2. Experience working and communicating cross functionally in a team environment.
3. Experience analyzing large datasets using tools like Presto, Hive or Spark.
4. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as KDD, ICML, NeurIPS, COLT, EC, IJCAI, AAAI, TheWebConf, STOC, FOCS, SODA, Operation Research or similar.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity and Affirmative Action

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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.