Staff Machine Learning Engineer
Posted on 6/5/2023
San Francisco, CA, USA • Remote in USA
Experience Level
Desired Skills
Google Cloud Platform
  • 7+ years of industry experience in ML or a PhD in a related field with 4+ years of experience
  • Fluency in Python and practical experience in applying CICD best practices
  • Excellent breath and depth in ML fundamentals
  • Experience in building Ranking and Recommendation Systems
  • Experience with cloud-based ML pipelines on GCP or AWS
  • Experience launching end-to-end production ML models
  • Experience in automating internal business processes via data and ML solutions
  • Experience in stakeholder management and cross-functional collaboration
  • The ability to clearly communicate complex concepts to technical and non-technical audiences
  • A strong desire to perform and grow in your role
  • A graduate degree in a technical field relevant to ML (e.g., Computer Science or other STEM fields)
  • Experience with designing and evaluating A/B tests for newly launched models
  • Experience building scalable ML solutions for user facing or operational teams
  • Drive end to end cross functional machine learning projects: you will build relationships with partner teams, frame problem statements, collect and analyze data, research & build prototypes, and finally productionize your ML solutions by designing and building their full pipelines
  • Strengthen your knowledge by using and learning a diverse set of techniques spanning all aspects of machine learning, causal inference, and other forms of statistical modeling to solve important business and product problems
  • Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and develop new ML & data products, features and procedures
  • Help build the next generation of data driven and intelligent products at 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.