Salesforce.com, Inc Senior Manager/Director, Software Engineering, Machine Learning Services in San Francisco, California
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Products and Technology
Senior Manager/Director, Machine Learning Platform Services
Einstein products & platform democratizes AI and transforms the way our Salesforce Ohana builds trusted machine learning products - in days instead of months. It 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 over a billion predictions per day serving thousands of customers. We are looking for Engineering leaders 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.
Hire and retain a world-class team of engineers that helps scale the Einstein Platform to the next level
Create and enforce processes that ensure quality of work, and drive engineering excellence
Exhibit a customer-first mentality while making decisions, and be responsible and accountable for the output of the team
Partner with Product Managers, Architects and Data Scientists to understand customer requirements, and help translate requirements to working software
Own the technology for fully orchestrated machine learning APIs for Einstein Platform
Contribute to the long-range plan, and help drive the microservices architectures for machine learning
BS, MS, or PhD in computer science or a related field, or equivalent work experience
5+ years of hands-on experience with big data, machine learning, and microservices architectures
3+ years of experience as a people manager
Track record of leading highly impactful projects from conception to finish
Expertise in JVM based languages (Java, Scala)
Experience building or leading teams that have built and and run machine learning services, such as for training & inferences, at scale
Experience with open source projects such as Spark, Kafka, Storm, and Hadoop
Experience in building software on AWS cloud computing such as EMR and S3 and Heroku
Experience working in machine learning, and technologies such as Amazon SageMaker and Google Cloud ML
Experience building or leading teams that have built and and run real-time data applications in production
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