Aquatic Informatics - Machine Learning Co-Op (Intern)

Hach

1d•Hybrid

About 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
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

Responsibilities

Contribute to the technical development of Aquatic Informatics' predictive analytics products.
Collaborate with an interdisciplinary team of engineers, data scientists, domain experts, and business leaders to design, build, and operate cutting-edge predictive analytics products.