Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Dive into the world of big data and trend analysis to solve complex problems and improve Meta community experiences. Learn how to scale and automate abuse detection processes. As an Integrity Science Engineer, you will investigate and analyze online abuse and actively implement countermeasures. Leveraging data analysis, machine learning, and a robust back-end infrastructure, you will collaborate with engineering, data science, and operations teams to build tools and techniques necessary to enforce content quality at scale. This role offers the opportunity to work on some of the most challenging, high-visibility integrity risks Meta faces, impacting billions of users worldwide. Successful candidates have a track record of identifying issues, proactively implementing solutions, analyzing large unstructured datasets, making quick decisions, and iterating based on new data. You will identify and investigate online bad actors targeting Meta and its users, work closely with others to identify abusive behavior sources, take countermeasures to stop abuse, lead technical investigations end-to-end, and communicate actionable results to diverse audiences. You will manage multiple projects simultaneously while prioritizing based on team goals.

Experience
- Investigating and acting on high-impact threats and online threat actors
- Working with relational databases and SQL
- Coding in at least one of the following: PHP, Python, or Java
- Managing and executing short-term and long-term projects
- Familiarity with cross-platform integrity threats
- Experience in adversarial spaces such as fraud and spam
- Working across the broader integrity, security, and Trust & Safety community
- Adhering to and implementing responsible, ethical AI practices including risk assessment, bias mitigation, and quality reviews
- Demonstrated ongoing AI skill development and staying current with emerging AI technologies
- Understanding security and integrity risks as they apply to Meta and its users
- Integrating AI tools to optimize workflows and drive measurable impact

About you
- Strong critical thinking and communication skills
- Ability to identify patterns in large, unstructured datasets
- Comfortable making quick decisions and iterating based on new data
- Proven ability to prioritize and execute with minimal direction or oversight
- Track record of proactive problem identification and solution implementation
- Ability to lead technical investigations and communicate results effectively to different audiences

Qualifications
- BA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics, or other technical field
- Advanced degrees in related technical fields are a plus