At a Glance
- Tasks: Use your analytical skills to combat online abuse and improve user safety.
- Company: Join a leading tech company in Greater London making a difference.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a positive impact on billions of users while tackling real-world issues.
- Qualifications: 2+ years of experience in a technical field and strong analytical skills.
- Other info: Dynamic team environment with the chance to adapt and grow.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in Greater London seeks an Integrity Science Engineer to tackle online abuse through quantitative analysis and technical investigations. The successful candidate will have at least 2 years of experience and a BA/BS in a technical field.
Responsibilities include:
- Identifying improvements to Facebook's abuse response
- Collaborating with engineering and data science teams
- Adapting to changing priorities
This role offers the opportunity to impact billions of users positively.
Integrity Scientist — Large-Scale Abuse Detection employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Integrity Scientist — Large-Scale Abuse Detection
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and understanding the latest trends in online abuse detection. We want you to show off your knowledge and passion for the field!
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms to get comfortable with common questions. The more you practice, the more confident you'll feel when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Integrity Scientist — Large-Scale Abuse Detection
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in integrity science and abuse detection. We want to see how your skills align with the role, so don’t be shy about showcasing your technical background!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about tackling online abuse and how your previous experiences have prepared you for this role. Let us know what makes you tick!
Showcase Your Analytical Skills: Since this role involves quantitative analysis, be sure to include examples of your analytical work. We love seeing how you’ve used data to drive decisions or improvements in past projects!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Meta
✨Know Your Stuff
Make sure you brush up on your quantitative analysis skills and any relevant technical knowledge. Familiarise yourself with the latest trends in online abuse detection and be ready to discuss how your experience aligns with the role.
✨Showcase Collaboration Skills
Since this role involves working closely with engineering and data science teams, prepare examples of past collaborations. Think about how you’ve adapted to changing priorities in previous roles and be ready to share those stories.
✨Understand the Company’s Mission
Research the company’s approach to tackling online abuse. Be prepared to discuss how you can contribute to their mission of positively impacting billions of users. This shows that you’re not just interested in the job, but also in the company’s goals.
✨Prepare for Technical Questions
Expect some technical questions related to integrity science and abuse detection. Brush up on relevant methodologies and be ready to explain your thought process when tackling complex problems. This will demonstrate your analytical skills and problem-solving abilities.