Research Scientist – Central Applied Science

Summary:

We’re looking for applied scientists with substantial industry experience to join the Central Applied Science team. Central Applied Science is home to experts from many scientific fields, partnering across the company to deliver engineering systems that bring research and innovation to fundamentally contribute to Meta's success.You will be empowered to leverage your expertise and drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to perform well in a research engineering capacity and hold publications within research areas including artificial intelligence, machine learning, statistics, operations research, causal inference and experimentation. Experience building data-driven products and forming research frameworks to solve challenging, real-world problems.

Required Skills:

Research Scientist – Central Applied Science Responsibilities:

1. Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products which impact the business

1. Develop novel quantitative methods on top of Meta's unparalleled data infrastructure

1. Work towards long-term ambitious research goals, while identifying intermediate milestones

1. Communicate best practices in quantitative analysis to partners

1. Work both independently and collaboratively with other scientists, engineers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users

1. Actively identify new opportunities for scientific tooling and systems to yield outsized impact, in line with Central Applied Science's role and mission within Meta

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

1. PhD in computer science, statistics, operations research or a related field

1. 4+ years of industry experience in an applied R&D capacity or similar function

1. Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields

1. Experience analyzing datasets using languages such as Python

1. Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn

1. Experience developing algorithms in languages such as Python, C, C++ or Java

1. Experience analyzing large datasets using tools such as Presto, Hive or Spark

1. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:

1. Track record of building end-to-end systems which bring science and engineering to solve critical business problems

1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

1. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

1. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

1. Engagement with leaders to drive decision-making based on a thorough understanding of science and business constraints

Public Compensation:

$183,997/year to $257,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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, 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta 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@meta.com.