Posted over 1 year ago
Job CategoryProducts and Technology
The Einstein Platform democratizes AI and transforms the way our Salesforce Ohana builds trusted machine learning products - in days instead of months. The Einstein Platform augments the Salesforce Platform with the ability to easily create, deploy, and manage predictive applications across all clouds. We achieve this vision by providing unified, opinionated, configuration-driven, and fully orchestrated machine learning APIs and customer-facing declarative interfaces. We are already producing billions of predictions per day serving thousands of customers. We are looking for a Principal Architect with Java, Scala and/or Spark experience, to help us take us to the next level, and build a platform that scales to hundreds of thousands of customers, and hundreds of billions of predictions per day.Responsibilities
+ Own the end to end architecture of the Einstein Platform and build the technology for taking the Einstein Platform to hundreds of thousands of Salesforce customers, and hundreds of billions of predictions per day
+ Partner end-to-end with Product Managers and Data Scientists to understand customer requirements and design prototypes and bring ideas to production
+ Develop compute and data infrastructure that ingests and transforms data from different sources and customers at scale in batch and real-time
+ Build large-scale data pipelines and computation systems that process massive amount of data on Spark and EMR
+ Build multi-tenant RESTful services for low-latency scoring/inferences at scale, and training massive amounts of data
+ Develop, and contribute to, open source ML systems such as Apache Spark and Tensorflow to train and serve models
+ BS, MS, or PhD in computer science or a related field, or equivalent work experience
+ 10+ years of experience with hands-on, server side development
+ Track record of leading highly impactful large scale projects from conception to finish
+ Expertise in JVM based languages (Java, Scala)
+ Experience in microservices architecture, container management, service mesh, API gateways and tools like Kubernetes, Istio, Envoy, or Linkerd
+ Proven track record in building products on some production-grade big data systems such as Spark, Kafka, Storm, and Hadoop
+ Experience in building software on AWS cloud computing such as EMR and S3 and Heroku
+ Experience in distributed systems
+ History of contributions to Hadoop, Spark, Storm, Hadoop, or similar open source projects
+ History of contributions to Kubernetes, Mesos, Istio, Envoy, or similar open source projects
+ Experience building and running real-time data applications in production
+ Posting Statement
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