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 we’re looking for: 

As a senior software engineer, you will be a hands-on leader that owns and drives forward the team's technical vision. You will work with product managers, data scientists and other engineering teams to deliver projects on time and mentors engineers on the team.

What you’ll do: 

You will leverage our vast network of data to train accurate globally-scoped models. We use Deep Learning techniques to analyze user behavior and build offline experimentation systems used to simultaneously evaluate tens of thousands of models. You’ll scale machine learning pipelines used to produce thousands of models derived from many terabytes of data and build systems that automatically explain how a model arrived at a prediction. We hope that you’ll bring some great ideas to the table as well.

What would make you an especially strong fit: 

• Deep understanding of statistical modeling / machine learning / data mining concepts, and a track record of solving problems with these methods
• Experience working with large datasets using like Spark / MapReduce / etc
• Strong communication & collaboration skills, and a belief that team output is more important than individual output
• 5+ years of experience as a software engineer working with products that leverage machine learning, statistical natural language processing, or computer vision
• Strong understanding of industry best practices

Bonus points: 

• Experience working with large scale data on HDFS / HBase / Cassandra / etc
• Experience building backend systems using Java / Scala / Python
• Advanced degree in Statistics, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, or a related field

A little about us:

Sift is the leading innovator in Digital Trust & Safety. Hundreds of disruptive, forward-thinking companies like Airbnb, Patreon, Zoosk, and ChowNow 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
• Catered meals

Sift 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."