Applied Research Scientist, Data-Driven AI & ML

Meta Careers; Menlo Park, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Meta is seeking a Research Scientist in the Central Applied Science group, based in Menlo Park, CA. You will tackle data-driven problems, develop quantitative methods, and contribute to long-term research initiatives that influence Meta's broad product and infrastructure ecosystem.

The role emphasizes publishing in AI/ML, statistics, and related fields, and requires collaboration across scientists, engineers, and product managers to deliver measurable impact for Meta's huge user base.

Qualifications

• Substantial industry experience in applied science.
• Publications in AI/ML/Statistics/OR/causal inference.
• Experience building data-driven products.
• Ability to form research frameworks to solve real-world problems.
• Communicate quantitative analysis to partners.

Responsibilities

• 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.
• Develop novel quantitative methods on top of Meta's data infrastructure.
• 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, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users.
• 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.

Skills

Data analysis

Machine learning

Statistical methods

Experiment design

Education

PhD in a relevant field

Job description

Meta is seeking a Research Scientist in the Central Applied Science group, based in Menlo Park, CA. You will tackle data-driven problems, develop quantitative methods, and contribute to long-term research initiatives that influence Meta's broad product and infrastructure ecosystem.

The role emphasizes publishing in AI/ML, statistics, and related fields, and requires collaboration across scientists, engineers, and product managers to deliver measurable impact for Meta's huge user base.