Remote Senior Software Engineer II, Machine Learning

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Narvar

πŸ“Remote - Canada

Job highlights

Summary

Join Narvar as a Staff Software Engineer to build new products and improve the Narvar platform by designing and deploying machine learning algorithms for various use cases. As a full-stack ML Engineer, you will work across the stack, write production-level code, and own machine learning operations for your teams.

Requirements

  • Strong machine learning skills
  • Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and machine learning packages
  • Data Engineering skills and large data experience. You should have dealt with large amounts of data (TB) in a production setting, built world class data pipelines using cutting edge tools (e.g. Spark)
  • 5+ years of hands-on experience shipping models to production, working on a variety of problem spaces (eg: user modeling, spam classification, prediction, clustering etc)
  • MS in Computer Science, Statistics, Math, Science (physical or social), Engineering or similar quantitative and computation field plus 5+ years of industry experience
  • Strong software engineering and coding skills with the ability to write production quality code
  • Strong understanding of probability & statistics, machine learning, and algorithms
  • Experience with SQL and NoSQL databases
  • Experience working with Linux, shell scripting

Responsibilities

  • Design and deploy machine learning algorithms for use cases spanning e-commerce, consumer trends, markets, logistics, and new products
  • Work on real-world consumer data for natural language processing, image classification, time series analysis, outlier detection, user modeling, etc
  • Work with large unstructured data
  • Be at the intersection of mathematics, machine learning, business, and computer science and impact millions of users through your work
  • Multiply the effect of your data science and data team members by building frameworks, tools, and methodologies that the entire team use
  • 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

Preferred Qualifications

  • Previous startup experience strongly preferred
  • Bonus Points Experience implementing applications on Google Cloud Platform
  • Experience with deep generative models or graph learning a plus

Benefits

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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