Software Developer Intern, Machine Learning Operations (Summer/May 2025, 12 Months)

Who we are Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.   Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.   Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news.Who you are:

We are looking for an amazing talent who can contribute to our efforts and deliver results! Geotab is seeking a Software Developer Intern (Machine Learning Ops) who will immediately contribute to the organization and to the Data and Analytics team.  If you love technology, programming, data, are well organized, and are keen to join an industry leader – we would love to hear from you! 

What you'll do:

As a Software Developer Intern (Machine Learning Ops), you will collaborate with a cross-functional team of Software Developers, Data Scientists, and Engineers on Geotab’s Data & Analytics team. You will collaborate on designing and coding scalable, fault-tolerant, highly available machine learning solutions, and partner with data scientists to help bring their machine learning models to production. To excel in this role, you must have excellent attention to detail, strong problem solving and analytical skills, be personable, collaborative, curious, a quick learner, and be passionate about ML engineering.

The opportunity

• 12 month work-term beginning May 2025.
• Full-time, paid internship: Monday - Friday, 37.5hrs/week.
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
• Learn more about the Geotab Campus Program here.

How you'll make an impact

• Use Python and SQL to interact with Geotab's big data infrastructure.
• Collaborate with data scientists to operationalize ML models by deploying them to production ensuring they are robust, scalable, and deliver business value.
• Develop MLOps tooling (e.g. ML pipelines and systems) and enforce MLOps best practices.
• Perform security updates to ensure models and implementations are free from critical vulnerabilities.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Use data mining, model building, and other analytical techniques to develop new datasets and data driven solutions.
• Make recommendations for new metrics, techniques, and strategies to improve Geotab's product suite.

What you'll bring to the role

• Within the final two years of a Post-Secondary degree in Engineering, Computer Science, Math, or a related field. Master's degree students are encouraged to apply. 
• Strong communication, organization, and time management skills, as well as a willingness to learn and a strong work ethic.
• Experience using SQL.
• Experience using Python and object-oriented programming.
• Experience working with machine learning algorithms and big data tools is an asset.
• Familiarity with some of the following is not required but is preferred: docker, airflow, pandas, Google Cloud Platform (compute, storage, dataflow, pub/sub, kafka, composer, kubernetes, vertex ai), Google Workspace (docs, sheets, slides, drive, etc.).
• Previous industry work experience is preferred.
• Ping pong and foosball skills are always a plus.

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.   Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees. How we work At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!   We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to learn more about what happens with your personal data.