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Software Engineer
Machine Learning
Confirmed live in the last 24 hours
Locations
Seattle, WA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Data Analysis
Hadoop
Java
NumPy
Pandas
Scala
SQL
Python
Scikit-Learn
Requirements
  • 2+ years of work experience building production ready systems
  • Solid knowledge of distributed systems and streaming platforms
  • Practical knowledge in one or more object-oriented languages, including Python, Go, Scala, or Java
  • Proficiency with system design and data processing/pipelining
  • Experience with SQL and common Python ML libraries (scikit-learn, scipy, numpy, matplotlib, and pandas)
  • Experience with AWS, Scala, Spark, and Hadoop
  • Practical knowledge building ML models to solve industry problems
  • Built or worked with ML feature stores and autonomous training and validation pipelines
Responsibilities
  • Build production systems that provide data derived results in realtime or batch
  • Partner with Economists, Analysts, and Engineers to build the strategies and products that power our pricing engine
  • Design the future of our ML feature, training, and serving systems
  • Have a significant impact on Remitly's bottom line
  • Improve our ML platform ensuring better data product delivery throughout the entire organization
Remitly

1,001-5,000 employees

Mobile P2P international payments service
Company Overview
Remitly’s mission is to tirelessly deliver on their promise to immigrants sending money across the world with their mobile payments service that enables users to make international money transfers. The company is committed to transforming the lives of immigrant families by providing their users with financial services across their global network with great exchange rates and low fees.
Benefits
  • Continuing Education or Travel Stipend
  • Office Culture
  • Flexible PTO, Schedules and Leaves
  • DEI Learning Opportunities
  • Community Engagement
  • Inclusive Benefits
Company Core Values
  • Customer centricity
  • Deliver on promises
  • Hire & develop exceptional people
  • Act with integrity
  • Sweat the details
  • Data driven
  • Bias for action
  • Be an owner
  • Aim for the stars
  • Continuously improve
  • Don't be afraid to fail
  • Lead authentically