Narvar

Narvar

Senior Software Engineer II, Machine Learning

Remote - Canada · Senior

Sponsorship not specified$180k-$230kDetected 6 days ago
PythonBashFull-Stack DevelopmentAlgorithmsSQLNoSQLGCPCloud PlatformsLinuxMachine LearningTensorFlowPyTorchPandasNumPySparkData EngineeringData ScienceNLPComputer VisionStatisticsLogisticsLeadershipCommunication

About the role

  • Machine Learning Engineers at Narvar work across the stack.
  • Post-purchase is a critical phase of the customer journey.
  • From the hottest new direct-to-consumer companies to retail's most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ + other brands.

Responsibilities

  • Multiply the effect of your data science and data team members by building frameworks, tools, and methodologies that the entire team use

Requirements

  • Data Engineering skills and large data experience.
  • 10+ years of hands-on experience shipping models to production, working on a variety of problem spaces (eg: user modeling, spam classification, prediction, clustering etc)
  • Strong software engineering and coding skills with the ability to write production quality code
  • Experience with SQL and NoSQL databases
  • Experience working with Linux, shell scripting
  • Experience implementing applications on Google Cloud Platform
  • Experience leading a team of data and data scientists
  • Strong ability to multiply the effect of the team and the team members

Nice to have

  • MS in Computer Science, Statistics, Math, Science (physical or social), Engineering or similar quantitative and computation field plus 5+ years of industry experience
  • Previous startup experience strongly preferred

Compensation

  • Below is the estimated annual salary for this position and does not include the other components that make up a Narvar offer including: annual bonus, equity, and benefits.

Benefits

  • Design and deploy machine learning algorithms for use cases spanning e-commerce, consumer trends, markets, logistics, and new products
  • Be at the intersection of mathematics, machine learning, business, and computer science and impact millions of users through your work
  • Provide thought leadership to a team through high quality write-ups, reviews, and a strong vision grounded in practical experience and a wider industry view

This listing is sourced directly from Narvar's careers page and normalized into a canonical job model.