Software Engineer - Content Abuse
About the team
The Content Abuse team's mission is to help customers detect and prevent all forms of spam, scam, and abusive activity done via content generation. We help all sorts of online businesses including marketplaces, communities, dating sites, social networks and messaging services foster healthy interactions between their users and keep unwanted content off their platforms.
What you’ll do
Some of the complex and challenging problems our engineering teams work on are:
Infrastructure - Infrastructure is the backbone of everything we do at Sift. Examples of projects include finding and removing performance bottlenecks, scaling databases, building a framework for feature extraction, and server architecture and administration.
Machine learning - We fight fraud with machine learning and our approach is unique. We train our models on millions of transactions across hundreds of customer sites, with countless features extracted from each.
Applications - The best infrastructure and machine learning techniques are meaningless without applications that put them to good use. Our API platform enables our customers to get value from Sift Science within minutes of signing up, and our front-end Console product summarizes our predictions in ways that are instantly actionable.
What would make you an especially strong fit
- 1+ years of experience as a software engineer building backend systems
- Proactive nature, and the ability to continually learn from your experiences
- Proficiency with object-oriented programming
- Experience with machine learning
- Experience with programming concurrent servers
- Experience with distributed systems and networking
- Experience with web programming and visualizations
- Experience with Hadoop, HDFS, and HBase
A little about us:
Sift Science is a hyper-growth Series D company that facilitates the largest trust network of online businesses and consumers on the internet.
The Sift Science Trust PlatformTM uses real-time machine learning to accurately predict which users businesses can trust, and which ones they can’t. The upshot? Consumers know which companies they can entrust with their personal and financial information. And businesses can customize each user's experience based on their trust score – which leads to more revenue, higher conversion rates, and less fraud and abuse.
Benefits and Perks:
- Competitive total compensation package
- 401k plan
- Medical, dental and vision coverage
- Wellness reimbursement
- Education reimbursement
- Flexible time off
- Catered meals
Sift Science is an equal opportunity employer. Our core value of “Be Tough On Ideas And Excellent To Each Other” is built on a foundation of diversity and inclusion; we work together to ensure the best ideas win. We hire people with different perspectives, educational backgrounds, and life experiences, because we know this makes us stronger, healthier, and more innovative. Our commitment to belonging enables us to bring our full selves to work so we can contribute our talents in meaningful ways and “Win As One Team."