About the team

The Account Defense team puts an end to fake accounts and stops account takeover by using real-time machine learning to look at more than 16,000 signals that identify good and bad users with unparalleled accuracy. Sift provides consumer-facing companies an account defense solution that blocks bad actors, removes unnecessary friction for good actors, and allows the customer to make a quick decision on “gray” cases. Sift enables its customers to automate an ever-growing share of their detection and prevention processes, to provide real-time protection to end users and reduce the load on the customer's security, fraud/risk and operations teams.

What we are looking for

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

• Design and build highly scalable, distributed microservices that can handle hundreds of millions of events per day
• Design and 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
• Mentor junior engineers on the team

What would make you a strong fit

• 5+ years experience building distributed backend systems using Java, Scala, C#, C++, or other object-oriented languages
• 3+ years experience working with large datasets using Apache Spark, MapReduce, or similar technologies
• 3+ years experience with cloud infrastructure (e.g. GCP, AWS, Azure)
• 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

• Experience with stream processing systems such as Apache Flink, Apache Beam, Dataflow, or similar technologies
• 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