Why This Job is Featured on The SaaS Jobs
This internship sits in a core layer of modern SaaS: the internal platform that turns machine learning models into reliable, production-grade services. Model serving is where product value meets operational reality—latency, cost, and uptime—and the listing’s emphasis on performance and observability signals work that affects how ML capabilities are delivered at scale rather than one-off experimentation.
For someone building a SaaS engineering career, the role offers exposure to the mechanics of operating software as a service: instrumentation, deployment readiness, and the trade-offs involved in running distributed systems efficiently. Experience improving an ML serving stack tends to transfer across SaaS companies that are investing in platform engineering, MLOps, and reliability practices, because the underlying constraints are similar even when products differ.
The position is best suited to an early-career developer who wants hands-on practice in production engineering habits—working through tracked tickets, participating in code reviews, and collaborating in a structured delivery cadence. It will particularly fit candidates who enjoy digging into system behavior, measuring outcomes, and iterating on infrastructure and services that other teams depend on.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
What does it take to efficiently serve machine learning models at scale in a production environment?
Are you curious about the systems that power ML inference and motivated to make them faster, more reliable, and more cost-efficient? Coveo is looking for a Software Developer intern to join our ML Platform Serving team in Research & Development. Your mission? Help us improve the efficiency, performance, and observability of our ML model serving platform.
The ML Platform Serving team enables teams to seamlessly host and serve their models in a frictionless, robust, cost-efficient, and easily monitored manner. As an intern, you’ll contribute to initiatives that optimize the full ML serving stack directly impacting how Coveo delivers ML-powered experiences at scale.
Your impact, day to day:
Engage actively in daily stand-up meetings to discuss progress, roadblocks, and plans. Collaborate with team members to ensure alignment and effective communication.
Manage and resolve assigned Jira tickets, ensuring timely completion of tasks.
Contribute to real-world projects that will be implemented for Coveo's clients. This can include coding, testing, and deploying solutions that meet customer requirements and enhance their experience.
Develop your skills by drawing on your mentor’s expertise. Watch, learn, and apply the best practices, methodologies, and strategies used in project management and software development.
Take an active role in code review sessions. Offer constructive feedback and receive advice on how to raise the quality of your code, follow best practices and strengthen your programming skills.
The Essentials:
You are currently studying Software Engineering or Computer Science in a Bachelor's degree or higher in the province of Québec.
You are able to work from our office 2 days a week. Our hybrid work model offers flexibility, you can benefit from face-to-face learning from your team on office days while home days allow you to focus and complete complex work.
You are legally entitled to work full-time in Canada for the duration of the 15 week internship.
Think you’ve got what it takes? Let’s see!
You have experience in Java, Python, infrastructure as code with an interest in microservices, large scale systems and distributed systems.
You have completed an internship.
You have a strong sense of ownership and are proud of what you create.
You strive to grow and aren't afraid to ask questions.
You’re passionate about the tech industry and lead with a proactive mindset.
You’ve participated in some hackathons and/or have a few personal projects.
Join the Coveolife!
You don’t need to check every single box; passion goes a long way and we appreciate that skills are transferable.
Send us your application, we want to hear from you!
We encourage all candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
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