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Machine Learning Developer
- Montreal (Province of Quebec, Canada)
- Research and Development
- Full-time
- Hybrid
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Build what brings AI to life at scale
How do you turn AI research into production-ready systems that perform reliably at scale? As a Machine Learning Developer, you will support applied scientists by building robust, scalable systems that accelerate experimentation and power real-world products.
You will work with the latest advances in machine learning to build and improve solutions for enterprise commerce, self-service, and other business-critical use cases at Coveo.
As one of our Machine Learning Developers, you will:
- Contribute to the end-to-end lifecycle of machine learning models, from implementation to testing, deployment, and monitoring.
- Analyze and improve the performance of machine learning models and systems, supporting large-scale training and low-latency inference.
- Maintain and improve client-facing product features powered by machine learning.
- Support the adoption of machine learning platforms, observability tools, and best practices to improve efficiency and reliability.
- Collaborate with peers to explore new approaches and continuously improve how we build and operate systems.
Here is what will qualify you for the role:
- 2+ years of industry experience working with machine learning systems.
- Hands-on experience deploying, monitoring, and supporting artificial intelligence (AI) models in production.
- A collaborative mindset: you enjoy working closely with scientists to understand their challenges and improve their tools and workflows.
- Experience working with Python, Amazon Web Services (AWS), Kubernetes, or other relevant technologies.
What will make you stand out:
- Experience in machine learning operations (MLOps), machine learning engineering, or large-scale model deployment.
- Experience working with data pipelines and structuring data workflows for machine learning projects.
- Experience contributing to shared internal tools or libraries.
- Knowledge of domains such as natural language processing (NLP), information retrieval, or recommendation systems.
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.
This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.
#li-hybrid
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. Discover our values here
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.
