Research Scientist, Central Applied Science (PhD)
London, UK
Meta
Giving people the power to build community and bring the world closer together
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.Research Scientist, Central Applied Science (PhD) Responsibilities
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. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
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.Research Scientist, Central Applied Science (PhD) Responsibilities
- Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
- Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
- Learn new tools, systems, and programming languages quickly as required by the particular project you are working on.
- Work towards long-term ambitious research goals, while identifying intermediate milestones.
- Communicate best practices in quantitative analysis to partners.
- Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.
- Publish research results in top-tier conferences and at leading journals.
- Actively identify new opportunities within Meta's long term roadmap for applied science contributions.
- 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.
- Experience with empirical research and for answering questions with data.
- Experience developing algorithms in languages like Python, C, C++ or Java.
- Experience analyzing datasets using languages like Python or R.
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Experience working and communicating cross functionally in a team environment.
- Experience analyzing large datasets using tools like Presto, Hive or Spark.
- 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.
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. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Data Science Jobs
Research Jobs
Tags: Causal inference Computer Science ICML Java Machine Learning NeurIPS PhD Physics Python R Research Spark UX VR
Perks/benefits: Career development Conferences
Region:
Europe
Country:
United Kingdom
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