Degree in Computer Engineering
Cloud computing, Data Analysis, Data Mining, Data Visualization, Python Programming, Software Development, SQL
Online misinformation, hate speech, child endangerment, and extreme violence are some of the world's most critical and complex problems. Trust Lab is a fast-growing, VC-backed startup, founded by ex-Google executives determined to use software engineering, ML, and data science to tackle these challenges and make the internet healthier and safer for everyone.
If you’re interested in working with the world’s largest social media companies and online platforms and building technologies to mitigate these issues, you’ve come to the right place. We’re looking for passionate engineers who want to solve difficult problems and use tech for good in the Trust & Safety industry.
As Senior Statistician on our team, you’ll work directly with ex-senior leaders from Google, YouTube, TikTok, and Reddit, build and commercialize cutting-edge technologies, and have the opportunity to develop your skills across a varied tech stack. You can expect rapid growth and mentorship opportunities, meaningful work, and a fun work environment.
We are a small, global, mostly remote team and you can be based anywhere in the UK, Germany or US; we're looking for someone to join us full-time (40hrs/week) for 3 months, with opportunity to extend.
Opportunities + Perks
We are an equal-opportunity employer that celebrates diversity and believes that people of varied backgrounds working together lead to the best outcomes across all levels of a company. This is your chance to help build world-class technology in a space that greatly matters to society, working with a team that is invested in your professional growth! Our team members come from all different parts of the world, perspectives, ages, and experiences.
Trust Lab provides cutting-edge software and metrics to the world's largest social media platforms, online marketplaces and apps to enable them to protect their users against misinformation, hate speech, identity fraud, and other harmful content.