Intermediate Applied Scientist (NLP)

Montreal (Province of Quebec, Canada)
Machine Learning
Full-time
Remote or Hybrid

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Shape the future of enterprise AI technology

What if your applied research directly shaped how enterprises use generative AI every day?

As an Intermediate Applied Scientist in the Knowledge AI team, you will design, build, and deploy natural language processing solutions that power Coveo’s generative AI capabilities at scale.

You will work hands-on with real-world data and production systems, collaborating closely with applied scientists, machine learning developers, and product partners to turn cutting-edge research into reliable, high-impact features used by hundreds of enterprise clients.

As one of our Intermediate Applied Scientists, you will:

Design, train, evaluate, and deploy language models for use cases such as retrieval-augmented generation, question answering, summarization, and semantic search
Contribute production-quality Python code using modern machine learning libraries such as PyTorch and Transformer-based frameworks
Collaborate with cross-functional partners to define problems, experiment with new approaches, and translate research into practical solutions
Drive experimentation cycles with sound evaluation methodologies and data-driven decision making
Improve scientific best practices and contribute to shared research infrastructure alongside the machine learning platform team
Continuously monitor model performance in production and iterate to improve robustness and relevance

Here is what will qualify you for the role:

2+ years of research experience or building natural language processing solutions at meaningful scale, supported by a master’s or doctoral degree in machine learning, computer science, mathematics, physics, or a related field
Programming skills in Python and experience writing maintainable, production-grade code
Proven ability to collaborate effectively in cross-functional teams

What will make you stand out:

Familiarity with the machine learning lifecycle, from data preparation and modeling to deployment and monitoring of production systems
Knowledge in one or more areas such as semantic search, retrieval-augmented generation, question answering, information retrieval, or information extraction
Experience in an international or multicultural environment, with strong collaboration and communication skills

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. 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.

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