Machine Learning Engineer

Summary

Join SiteZeus as a Machine Learning Engineer and contribute to our growing product team! You will design and develop machine learning systems, participate in agile ceremonies, and transform data science outputs into scalable, production-ready systems. This role requires expertise in Python, Docker, and fundamental data science concepts, along with experience in Azure, GCP, or AWS. We offer a remote position with unlimited PTO, flexible work hours, and comprehensive benefits including 401k, health insurance, and paid parental leave. SiteZeus values boldness, grit, urgency, teamwork, and exceptional performance. We are an equal-opportunity employer committed to diversity and inclusion.

Requirements

• A bachelor’s degree in computer science, software engineering, mathematics, statistics, data science, physics, or a related field
• 2+ years prior experience as a machine learning engineer
• Expertise with Python
• Experience building and maintaining Docker containers
• A strong grasp of fundamental data science concepts
• Comfortable using NumPy and Pandas
• Experience with at least one popular deep learning library
• Experience with DevOps or MLOps
• Experience with Azure, GCP, or AWS
• Experience maintaining machine learning models in a production environment

Responsibilities

• Design and develop machine learning systems
• Participate in agile ceremonies
• Transform raw data science outputs into scalable, production-ready systems
• Research and implement machine learning algorithms and tool-sets
• Create, maintain, and monitor MLOps build & deployment pipelines
• Run experiments to continuously improve solutions
• Extend existing libraries and frameworks
• Implement statistical methods to use for Predictive Analytics
• Assist in data science research efforts
• Enhance data collection procedures to build analytic systems
• Perform ad-hoc analysis and present results in a clear manner
• Make suggestions consistent with our theme of continual process improvement
• Provide necessary customer support when asked by providing requested data analysis and resolving issues within the SZ platform

Preferred Qualifications

• A master’s degree in a related field
• Experience with big data
• Kubernetes familiarity
• Azure knowledge
• Familiarity with geospatial data analytics

Benefits

• Unlimited PTO that we encourage you to use
• Flexible work hours
• 401(k); health, vision, and dental; and other traditional benefits for U.S.-based employees
• Paid parental leave
• Paid monthly community service time
• Paid company summits