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- Tasks: Tackle big data and complex systems to enhance Facebook & Instagram experiences.
- Company: Join Meta, a leader in social technology innovation.
- Benefits: Competitive pay, flexible work options, and extensive benefits.
- Why this job: Make a real impact on billions by improving online safety and community standards.
- Qualifications: 2+ years in quantitative analysis; coding skills in PHP, Python, or Haskell.
- Other info: Dynamic role with opportunities for growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
Dive into the world of big data, investigations and complex systems to solve challenging problems and improve Facebook & Instagram community experiences! Learn how to build and improve scaled abuse detection systems and processes. Integrity Science Engineers have the opportunity to work on many of the most challenging, complicated, and high-visibility problems the company faces. From child safety to scams and account takeover, the work we do impacts billions of people who use Meta products.
Our focus on technical investigations, data analysis, machine learning and adversarial thinking, as well as our end-to-end understanding of detection and remediation systems, allows us to collaborate seamlessly with software engineering, data science, and operations to build processes, tools and capabilities necessary to enforce Facebook community standards at scale.
Successful candidates are curious, have a bias towards action, are good at finding patterns amid chaos, and enjoy building and leveraging a full understanding of phenomena they’re dealing with. The perfect candidate will have a background in a quantitative or technical field, extensive experience dealing with online adversaries, familiarity with operating using large data sets, complex products and detection systems, and in-depth experience in data-driven decision making.
Integrity Science Engineer Responsibilities:- Apply your expertise in online abuse, technical investigations and data analysis to identify opportunities to make Facebook’s response to abuse of its platforms measurably better.
- Work independently or partner with software engineering, data science and operations to leverage those opportunities at scale.
- Contribute to a variety of codebases across Facebook’s technical stack: Haskell, Python, PHP.
- Be a thought leader, bring your understanding of online abuse and adversarial behaviours to software engineering teams, and guide teams’ overall direction.
- Be adaptable to quickly changing priorities, adversarial shifts and multiple initiatives running simultaneously.
- 2+ years experience doing quantitative analysis.
- BA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field.
- Experience with relational databases and SQL.
- Experience coding in at least one of the following: PHP, Python, Haskell, or Java.
- Experience working across the broader anti-abuse/security/Trust & Safety community.
- Experience investigating and acting on high-impact threats and online threat actors.
- Proven track record of managing and executing on short term and long term projects.
- Experience in adversarial space like financial fraud, spam, child safety.
- Demonstrated understanding of security and integrity risks, and how they apply to Facebook and its users.
- Experience working in an environment with minimal oversight, being self-driven, prioritising and executing independently.
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.
Integrity Science Engineer employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Integrity Science Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at Meta. A friendly chat can open doors and give you insider info on what it’s really like to work there.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with data analysis and coding. This is your chance to demonstrate how you tackle complex problems and think outside the box.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and understanding of algorithms. Use platforms like LeetCode or HackerRank to sharpen your abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining the team!
We think you need these skills to ace Integrity Science Engineer
Some tips for your application 🫡
Show Your Curiosity: We want to see your passion for tackling complex problems! In your application, highlight any experiences where you've explored challenging topics or conducted investigations. This will show us that you're the curious mind we're looking for.
Demonstrate Your Technical Skills: Make sure to showcase your technical expertise in your written application. Whether it's your experience with SQL, Python, or any other relevant tech, let us know how you've used these skills to solve real-world problems. We love seeing candidates who can back up their claims with solid examples!
Be Clear and Concise: When writing your application, clarity is key! Avoid jargon and keep your language straightforward. We appreciate candidates who can communicate complex ideas simply and effectively, so make sure your application reflects that.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Meta!
How to prepare for a job interview at Meta
✨Know Your Data
Make sure you brush up on your data analysis skills. Be prepared to discuss how you've used large datasets in the past, especially in relation to online abuse or security. Think of specific examples where your analysis led to actionable insights.
✨Showcase Your Technical Skills
Familiarise yourself with the programming languages mentioned in the job description, like Python and PHP. Be ready to talk about your coding experience and how you've applied it in real-world scenarios, particularly in investigations or detection systems.
✨Understand the Adversarial Landscape
Dive deep into the current trends in online threats and adversarial behaviours. Be prepared to discuss how these issues impact platforms like Facebook and Instagram, and share your thoughts on potential solutions or improvements.
✨Demonstrate Adaptability
The role requires quick thinking and adaptability. Prepare examples from your past experiences where you successfully managed changing priorities or tackled multiple projects simultaneously. Highlight your ability to stay focused and deliver results under pressure.
