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At SiteZeus, we are obsessed with two things: helping multi-unit brands pick better locations and cultivating our amazing team. If you are passionate about technology, delivering groundbreaking value, and diving into an incredible culture, let’s chat!

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Machine learning engineer

SiteZeus is an automated location intelligence platform. Our customers have a physical presence, typically retail locations. They use SiteZeus to make better decisions about where to build their next location, and how to optimize their investment in existing locations. Our product is a web-based SaaS offering — think Google Maps with rich data visualization and machine learning capabilities integrated in. Our clients include some of the world's largest and most rapidly growing franchise brands. SiteZeus currently has 30 people, including 8 development/QA team members and 2 other data scientists. We are based in Tampa, Florida. During COVID 19, we are 100% remote. We will remain mostly remote post COVID 19, and currently have multiple team members that live outside of the Tampa area.

About you

  • You are passionate about solving real-world problems through data
  • You care deeply about making scalable ML solutions directly accessible toend users
  • You strive for excellence in everything that you do
  • You want to work with a team that values humility, empathy, and transparency

About the role

  • Core member of a small, energetic, and highly focused product development team
  • Reports to the Chief Technology Officer
  • Works as an individual contributor

Requirements

  • 6 years of relevant work experience
  • A proven track record of successful MLOps - building machine learning pipelines and deploying scalable models to production environments
  • Proficiency implementing code for production-grade ML systems in Python or R; a demonstrated ability to write code that is modular, efficient, scalable, and maintainable
  • Solid understanding of machine learning models, data analysis, and a variety of supervised and unsupervised learning methods
  • Experience working with multi-terabyte scale datasets
  • Excellent communication skills. You can distill complex topics down to their essence
  • You want to create something new and help build a successful company
  • A Bachelor's degree in Computer Science, Mathematics, Statistics, or another STEM field. Equivalent levels of on-the-job skills development or self-directed online coursework will be considered in lieu of a formal degree
  • You are authorized to work in the U.S

Strongly preferred

  • Experience building ML pipelines using cloud-based ML services, such as Azure Machine Learning SDK
  • Experience building ML pipelines that integrate with products based on the Microsoft platform, including .NET, Azure, C#, PowerShell, and related tools
  • Experience building models using deep learning tools
  • Experience applying CNNs, RNNs, LSTMs, and related techniques to computer vision tasks
  • Experience building models with geospatial data, mobile movement data, or street view/satellite imagery
  • Masters or PhD in a related field
Apply now