Streamline the deployment of Machine Learning models

As a Senior Machine Learning Developer in R&D, you will play a key role in supporting the teams of applied scientists responsible for creating and training search and ranking models, as well as other ML models at scale.

Your mission is to build ML systems that are reliable, scalable and easy to maintain, as well as help Applied Scientists iterate on their experiments faster.

Here is what makes this opportunity exciting :

The ML unit at Coveo focuses on finding ways to apply the latest advances in Recommender Systems, Ranking Optimization, LLMs and NLP to build innovative solutions in e-commerce, self-service and other business verticals.

We solve real problems with real data, for hundreds of large enterprise clients all around the World, on a modern platform that servers over 100M requests and automatically trains thousands of ML models on a daily basis.

Here is a glimpse at your responsibilities :

• Participate directly in every part of the development life cycle of ML models : conception, implementation, automated testing, deployment, monitoring, etc.
• Investigate, analyze and improve the performance of our models and systems – including meeting critical SLOs for training models at scale and low-latency inference.
• Maintain and improve several of our most important client-facing product features.
• Facilitate the adoption and utilization of ML platform and observability resources and guidelines to improve operational efficiency and service reliability.
• Engage with your community of peers to challenge the status quo, improve our shared ways of working, and influence overall architecture decisions.
• Learn, utilize and evolve our data and tech stack which includes Python, AWS, Kubernetes, Pytorch, Terraform, Snowflake, Honeycomb and others

Here is what will qualify you for the role :

Here is what will make you stand out :

Do you think you can bring this role to life?

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

Send us your CV, we want to get to know 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. We know that applying for a new role is a lot of work and we really appreciate your time.

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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.