Sr. Software Engineer II, Machine Learning

Narvar is a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers.
Machine Learning
Staff Software Engineer
Remote
5+ years of experience
AI · E-Commerce

Description For Sr. Software Engineer II, Machine Learning

Narvar is growing! We are hiring a Staff Software Engineer to build new products and improve all aspects of the Narvar platform. Data is at the core of our competitive advantage so the work you do has a large impact across the company, our business partners, and the lives of our end users.

Machine Learning Engineers at Narvar work across the stack. We are 'full-stack' ML Engineers. This means that we write production-level code and own machine learning operations for our teams.

Day-to-day 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

Requirements:

  • Strong machine learning skills
  • Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and machine learning packages
  • Data Engineering skills and large data experience
  • 5+ years of hands-on experience shipping models to production
  • MS in Computer Science, Statistics, Math, Science, Engineering or similar quantitative and computation field plus 5+ years of industry experience
  • Strong software engineering and coding skills
  • Strong understanding of probability & statistics, machine learning, and algorithms
  • Experience with SQL and NoSQL databases
  • Experience working with Linux, shell scripting
  • Previous startup experience strongly preferred

Bonus Points:

  • Experience implementing applications on Google Cloud Platform
  • Experience with deep generative models or graph learning
  • Experience leading a team of data and data scientists
  • Strong ability to multiply the effect of the team and team members
  • Excellent written communication
  • Self-starter that can balance sophistication with practicality

Join Narvar to work on a platform that has served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

Last updated 7 months ago

Responsibilities For Sr. Software Engineer II, Machine Learning

  • 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

Requirements For Sr. Software Engineer II, Machine Learning

Python
Linux
  • Strong machine learning skills
  • Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and machine learning packages
  • Data Engineering skills and large data experience
  • 5+ years of hands-on experience shipping models to production
  • MS in Computer Science, Statistics, Math, Science, Engineering or similar quantitative and computation field plus 5+ years of industry experience
  • Strong software engineering and coding skills
  • Strong understanding of probability & statistics, machine learning, and algorithms
  • Experience with SQL and NoSQL databases
  • Experience working with Linux, shell scripting
  • Previous startup experience strongly preferred

Interested in this job?

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