The Position

The Machine Learning Engineer will contribute to the technical development of Aquatic Informatics' predictive analytics products. These solutions support our customers in leveraging intelligent water technologies to protect the environment and human health. In this role, you will collaborate with an interdisciplinary team of engineers, data scientists, domain experts, and business leaders to design, build, and operate cutting-edge predictive analytics products that influence critical real-world decisions.

This position is part of the Engineering Team in Vancouver, Canada, and is a hybrid position. Our engineering team meets regularly in our Vancouver office with optional in-office collaboration on Wednesdays.

Requirements

• Must be currently enrolled in an accredited post-secondary institution
• You are passionate about data science and full-stack software engineering
• Keen to learn about AI/ML and software technology; incessantly inquisitive
• Love to code – production code, test code, automation code, dev tooling code
• Thrive on using data to solve challenging technical problems
• Resourceful and independent, while being a contributing member of a collaborative team
• Excellent English communication skills, both verbal and written
• Programming experience with at least one object-oriented language (bonus for C#) or scientific language (bonus for Python)
• Currently studying computer science, computer engineering, or a related discipline

Nice To Haves

• Interest or experience with NL-to-Analytics, MCP and LLMs technologies
• Exposure to cloud computing (AWS/Azure) infrastructure
• Interest or experience in hydrology or environmental sciences

Company

Aquatic Informatics (AQI), a Veralto company, is a mission-driven software company that organizes the world’s water data to make it accessible and useful. We provide software solutions that address critical water data management, analytics, and compliance challenges for the rapidly growing water industry. We offer a full range of solutions, from standalone software packages for individual users, hosted software services, and enterprise-wide national systems. We serve over 1,000 municipal, federal, state/provincial, hydropower, mining, academic, and consulting organizations in over 60 countries that collect, manage, and process large volumes of water data.