Job Description

Software Engineering \xe2\x80\x93 Machine Learning Co-op

Do you want a meaningful role in a company that is making a difference in the world? Do you want to be involved in one of the most important environmental resource areas today? Do you want to learn what\xe2\x80\x99s involved in producing scalable, robust enterprise software systems from colleagues with years of engineering experience? Then join our energetic and growing team and help revolutionize an industry.

About our company

A wholly-owned subsidiary of the Water Platform of Danaher Corporation (NYSE: DHR), Aquatic Informatics is a mission-driven software company that organizes the world\xe2\x80\x99s 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 humour. We like smart people \xe2\x80\x93 IQ and EQ \xe2\x80\x93 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 \xe2\x80\x93 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 and engineering activities.

Qualifications:

• 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 software engineering and technology; incessantly inquisitive
• Love to code \xe2\x80\x93 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)
• Demonstrated interest in keeping up to date with current technology and engineering best practices
• Currently studying computer science, computer engineering, or a related discipline

Bonus:

• Completion of one or more previous co-op terms
• Exposure to cloud computing environments (AWS) and continuous delivery
• Interest or experince with MLOps, data engineering and related tools
• Interest or experience in hydrology or environmental sciences

When you join us, you\xe2\x80\x99ll also be joining Danaher\xe2\x80\x99s global organization, where 80,000 people wake up every day determined to help our customers win. As an associate, you\xe2\x80\x99ll try new things, work hard, and advance your skills with guidance from dedicated leaders, all with the support of powerful tools and the stability of a tested organization.

At Danaher, 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\xe2\x80\x99ve ever wondered what\xe2\x80\x99s within you, there\xe2\x80\x99s no better time to find out.

Danaher