Aquatic Informatics - Software Engineering - Machine Learning Co-op

About Aquatic Informatics

Aquatic Informatics: A wholly owned subsidiary of the Water Platform of Danaher Corporation (NYSE: DHR), Aquatic Informatics (https://aquaticinformatics.com/) 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. Water monitoring agencies worldwide trust us to acquire, process, model, and publish water information in real time. 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.

Aquatic Informatics is headquartered in Vancouver, Canada and has offices in the US and Australia. We value independent thinking, initiative, teamwork, a relentless pursuit of quality, a playful spirit, and a sense of humor.  We like smart people – IQ and EQ – who care about the environment and want to do good in the world.  

If you want a meaningful role with a company that is making a real difference in one of the most important resources in the world: water, then join our energetic growing team! Help us revolutionize an industry!

About the Opportunity

As a Software Engineering – Machine Learning Co-op at Aquatic Informatics, you will become an integral member of the predictive analytics engineering team.  Working in an Agile team, you will be exposed to the breadth of software engineering and data science activities with a specific focus on operationalizing algorithms being developed by the team. 

  

Qualifications 

• Must be currently enrolled in an accredited post-secondary institution in either computer science or engineering; strongly prefer an institution in Vancouver as role is hybrid and may need to be onsite periodically during the period.

• You are passionate and keen to learn about data science and full-stack engineering  

• 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  

• Constantly seek new ways to do things better  

• 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). 

• Knowledge of JavaScript plus one front end framework is desirable (e.g. Angular, AngularJS or React)  

• Demonstrated interest in keeping up to date with current technology and engineering best practices  

• Currently studying computer science, computer engineering, or a related discipline  

• Completion of one or more previous co-op terms is an asset  

  

Bonus:  

• We value previous exposure to cloud computing environments (Azure) and MLOps 

• We value client-server engineering  

• We value Agile team experience (Scrum or XP) 

• We value interest or experience in hydrology, environmental sciences, or industrial automation 

At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve.  Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

If you’ve ever wondered what’s within you, there’s no better time to find out.

Unsolicited Assistance

We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.