Building Enterprise Leaders

San Francisco, CA, US
LiftIgniter is a Machine Learning (ML) Personalization Platform born out of Google’s ML Sibyl Research team. We help our customers personalize their products and services to improve core business metrics such as user engagement, conversions, and revenue. 

We use cutting edge ML techniques and have won several awards: YCombinator W2014 class company, 2016 TechCrunch Disrupt Battlefield finalist, and 2017 Google cloud ML startup. Backed by top tier VCs Khosla Ventures and Storm Ventures, we process 20B events per month and are profitable since 2017. 

We are looking for passionate software engineers who want to be at the forefront of Machine Learning innovation and applications.
  • Design and build real-time, distributed, and scalable content recommendation infrastructure that serves 40B+ events a month.
  • Build fault-tolerant distributed data processing systems
  • Build tooling for deployment, monitoring, diagnosing complex distributed systems issues
  • Able to lead cross functional teams to ensure projects success and high business impact.
  • Work with Machine Learning team to implement new recommendation algorithms and experiments.
  • Collaborate with Product Management and Customer Success teams to deliver the best in class product and performance to our customers.
  • Familiarity with cloud infrastructure (AWS, GCP, Azure). Experience with GCP a plus.
  • Proficient with one of Java, Scala, or C++.
  • Strong experience with Unix/Linux systems.
  • Experience in designing, building, and running large scale distributed systems.
  • Strong interpersonal communication skills to work well in a diverse environment with other engineers, Product Managers, Customer Success reps.
  • BS degree in Computer Science or similar technical fields (MS, Ph.D a plus).
  • 5+ years of software development experience.