We're looking for a terrific Machine Learning Engineer to join our team and help build the next great version of SiteZeus, our automated location intelligence platform.

SiteZeus is a web application that empowers its users to to make better decisions about where to build their next location, and how to optimize their investment in existing locations. Our clients include some of the world's largest and most rapidly growing franchise brands.

In this role, you'll focus on automating the delivery of new models that are integrated into our web application. In addition, you'll be focused on making model training and scoring perform incredibly well at scale. This role requires expertise across several domains: software engineering, data engineering, and machine learning.

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