Senior Software Engineer (Backend and Big Data)

Seattle

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Sift

Our AI-powered platform empowers your business to expand fearlessly, mitigating concerns related to fraud without compromising the essential element of trust.

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About the team

Our team researches and develops machine learning models and systems that help make the Internet a safer place. We serve customers across multiple verticals such as online commerce, delivery service, finance, travel sites, etc., and we have customers in both developed and developing countries. Our technology helps protect Internet users from ever-evolving online scams, payment fraud, abusive content, account takeover, etc.  We are a forward-thinking team constantly challenging ourselves and the status quo to push the boundary of machine learning and data science across multiple product offerings at SIFT and collaborate with product engineering teams to deliver tangible customer value.

 

We take pride in our work, not ourselves. Open and constructive feedback is valued and often required to ensure rigor in our work. We love learning, hacking, and sharing our findings. We believe that machine learning is THE way to empower internet-scale businesses to thrive.

What you'll do

  • Build highly scalable Big Data solutions using the latest technologies such as Apache Flink, Beam, and Spark
  • Design and implement end-to-end machine learning products
  • Prototype and explore with latest machine learning or analytics technologies such as graph databases, model serving frameworks, or workflow orchestration engines
  • Collaborate with machine learning engineers and data scientists and contribute to internal tooling, experimentation, and prototyping effort
  • Lead system design discussions and drive engineering excellence

What would make you a strong fit:

  • You have a growth mindset and a strong interest to work with real-world machine learning applications and technologies
  • You are curious about customer and business needs
  • You are open to learning and patient to teach when working with our diverse team members with various backgrounds in engineering and data science
  • 3+ years of experience working with large datasets (think TBs of data, 10s of thousands of features) in both batch and streaming environments
  • Experience with python, docker container, k8s, terraform etc.
  • Experienced programmer in Java or other object-oriented programming languages
  • Excellent communication skills and collaborative work attitude

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. Sift allows businesses to scale, win, and thrive in the digital era by drawing on insights from our global network of customers.

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 thought, 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, so we can Win as One Team.

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

Tags: Big Data Docker Engineering Finance Flink Machine Learning ML models OOP Prototyping Python Spark Streaming Terraform

Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Flex vacation Health care Wellness

Region: North America
Country: United States
Job stats:  0  0  0

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