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Staff Machine Learning Engineer
Personalization
Confirmed live in the last 24 hours
Locations
San Francisco, CA, USA • Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Elasticsearch
Google Cloud Platform
Java
Kotlin
Leadership
React.js
Kubernetes
Python
Requirements
  • A degree/background in Computer Science, Computer Engineering, or a related technical field. A graduate degree is a nice to have
  • 6+ years of experience in building highly scalable systems and demonstrated technical initiative and leadership on previous projects. Prior experience in building ML Systems for recommendations and ranking is helpful but not required
  • Experience helping your teammates grow through mentorship and providing constructive feedback
  • Experience or knowledge in ML is helpful but not a prerequisite: if you are a solid software engineer, then we are happy to train you up on ML-specific parts of the role
  • Be able to work collaboratively with technical and non-technical people across different teams
  • Curiosity and a passion for Cash App's mission of economic empowerment
  • Kotlin, Java, Python and React
  • HTTP, JSON, gRPC, and Protocol Buffers
  • ElasticSearch
  • AWS, GCP and Kubernetes
  • SignalFx and DataDog
  • Apache Beam, Google DataFlow and Spark
Responsibilities
  • Design, build, and maintain scalable ML systems that enable us to personalize experience for our 40+ million users
  • Collaborate with many teams to make technical, design, strategy, and product decisions
  • Mentor and coach other Engineers on the team
Square

1,001-5,000 employees

Digital payment processor
Company Overview
Square's mission is to ensure that all businesses are able to participate and thrive in the economy. The company is building infrastrucutre for online payments.