Software Engineer, Content Integrity

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About the team

The Content Integrity 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 we are looking for

As a software engineer on the Content Integrity team, you will work closely with product managers, data scientists and other software engineers to deliver various Content Integrity product features, which are at the intersection of machine learning and distributed systems. Specifically, you will 

  • Build highly scalable, distributed microservices that can handle hundreds of millions of events per day
  • Build offline experimentation systems used to simultaneously evaluate tens of thousands of models 
  • Scale machine learning pipelines used to produce thousands of models derived from terabytes of data

What would make you a strong fit

  • Experience with Java, Scala, C#, C++, or other object-oriented languages
  • Experience with distributed systems development
  • Strong software engineering fundamentals, including data structures, algorithms, and distributed systems, and strong debugging, testing, and problem-solving skills.
  • Strong communication & collaboration skills, and a belief that team output is more important than individual output
  • You are a self-starter, with a quick learning curve.

Bonus points

  • 2+ years experience working with large datasets using Spark, MapReduce, or similar technologies
  • 2+ years experience building distributed backend systems using Java, Scala, C++, or other object-oriented languages
  • Experience with cloud infrastructure (e.g. GCP, AWS, Azure)
  • Experience with HBase, BigTable, Kafka, ZooKeeper.
  • Familiarity with practical challenges in ML systems, such as feature extraction and definition, data validation, training, monitoring, and management of features and models.

A little about us

Sift is the leading innovator in Digital Trust & Safety.  Hundreds of disruptive, forward-thinking companies like Airbnb, Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse.

The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.

Benefits and Perks:

  • Competitive total compensation package
  • 401k plan
  • Medical, dental and vision coverage
  • Wellness reimbursement
  • Education reimbursement
  • Flexible time off

Sift is an equal opportunity employer. We make better decisions as a business when we can harness diversity in our experience, data, and background. Sift is working toward building a team that represents the worldwide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day.

This document provides transparency around the way in which Sift handles personal data of job applicants: https://sift.com/recruitment-privacy

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Location

Sift is headquartered in the bustling Financial District. Walking distance from major public transit and world-class restaurants.

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