Machine Learning Engineer - Remote

Overview

TigerEye is full stack, modern business intelligence built for go-to-market teams. We automate marketing, sales and finance reporting with live dashboards and conversational AI to deliver instant, accurate answers to complex questions about your business.

In Short

• Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ go-to-market teams
• Own training, integration, deployment, versioning, and monitoring of ML components
• Improve TigerEye’s existing metrics collection and analysis techniques in order to expand the range of questions TigerEye is able to explore
• Build a customizable heuristic system to surface actionable insights
• Provide quantitative rationale to inform group decision-making processes
• Design and build our ML infrastructure, including integration with customer data
• Develop AI agents from start to finish, including product ideation and evaluation

Requirements

• A Graduate degree in Statistics, Applied Mathematics, or a related field/equivalent experience
• Substantial experience with statistics and data modeling
• Knowledge of statistical techniques to build predictive models
• Knowledge of time series analysis
• Solid understanding of computer science, coding principles and algorithms
• Proficiency in programming languages such as Go, Dart, and Python

Benefits

• Proficiency in SQL
• Experience with the full lifecycle of building a ML-powered product
• Experience building ML infrastructure
• Experience with data engineering and building an ETL pipeline
• Experience with cloud computing services (AWS, GCP, etc.)
• Experience working with LLMs