Senior Machine Learning Developer

Streamline the deployment of machine learning at scale

How do you turn cutting-edge machine learning research into production-ready systems that perform reliably at scale? As a Senior Machine Learning Developer, you will support applied scientists by building robust, scalable machine learning systems that accelerate experimentation and power real-world products.

You will use your technical leadership to help shape Coveo’s ambitious vision, bringing the latest advances in machine learning to enterprise commerce, self-service, and other business-critical use cases.

As one of our Senior Machine Learning Developers, you will :

• Streamline the end-to-end lifecycle of machine learning models, from conception and implementation to automated testing, deployment, and monitoring.
• Analyze and improve the performance of machine learning models and systems, meeting strict service-level objectives for large-scale training and low-latency inference.
• Maintain and evolve critical, client-facing product features powered by machine learning.
• Enable teams to adopt machine learning platform, observability tools, and best practices that improve operational efficiency and service reliability.
• Collaborate with peers to challenge existing approaches, improve ways of working, and influence architectural decisions across the organization.
• Contribute to the evolution of a modern technology stack including Python, Amazon Web Services, Kubernetes, PyTorch, Terraform, Snowflake, Honeycomb, and more.

Here is what will qualify you for the role :

What will make you stand out :

Do you think you can bring this role to life? Or add your own color?

You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.

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Absolutely! This is a question women and under-represented groups ask themselves more often than the rest of the population. Don't underestimate yourself, we are not looking for someone perfect but for someone who is motivated, capable and who will thrive in this position. Allow us to discover you!

Coveo is a Quebec-based company, pioneer in AI-powered search and recommendations. Coveo uses AI technologies and intelligent search to personalize every digital experience for customers, partners, dealers, and employees. Coveo combines unified content, unified interactions behavioral data and machine learning to deliver relevant information and recommendations across every business interaction, making websites, e-commerce, contact centers and intranets efficient, effortless, content-rich, thus boosting conversion.

If it were easy, someone else would have done it. All of our colleagues at Coveo find the drive to continuously seek new challenges and test roads no one else has ever explored. This ethos has allowed us to become a world leader in an innovative industry and to create a collaborative, diverse and trusting place to work filled with amazingly talented and passionate people. We love a good challenge, and we never say no to an opportunity to learn and develop new cutting-edge skills.

In-person

This role requires you to be in the office full-time, whether it be at our Quebec, Montreal, Weert, or London locations. Our modern infrastructures are designed to enhance cross-team collaboration and promote overall well-being.

Hybrid

Our offices in Quebec City, Montreal, London and Weert are designed to foster collaboration and your well-being. We gather there on our pillar days two times a week to strengthen in-person interactions and encourage creativity, all while providing you with the flexibility of a hybrid environment.

Remote

We hire from all over the world because the diversity of backgrounds fuels our continuous innovation. Our benefits will enable you to work comfortably from home, but you may be required to travel to attend our in-person team-building events.