Senior Applied Scientist

  • Montreal (Province of Quebec, Canada)
  • Research and Development
  • Full-time
  • Hybrid
< See All Positions

Shape the future of enterprise AI technology

Do you want to turn cutting-edge natural language processing into products impacting millions of users? As a Senior Applied Scientist in the Product Engineering group, you will help build the language technologies at the core of our AI products. 

You’ll be contributing directly to the design, evaluation, and implementation of advanced AI solutions at the intersection of Retrieval Augmented Generation (RAG), information retrieval, semantic search, question answering, and agentic systems, always with real-world constraints in mind. 

As one of our Senior Applied Scientists (NLP), you will:

  • Design, develop, and optimize modern language-based AI solutions, from data and modeling choices to evaluation strategies and production constraints and guardrails. 
  • Apply and serve transformer-based language models at scale, delivering reliable, real-time experiences to enterprise users. 
  • Collaborate closely with machine learning developers and the machine learning platform team to accelerate research and innovation cycles. 
  • Contribute to research and development processes that foster efficiency, rigor, and a culture of applied science excellence. 
  • Mentor junior applied scientists, supporting their growth and helping raise the overall level of expertise within the group.
  • Promote promising research and best practices in our applied science community. 
  • Share our innovations externally through technical blog posts, presentations, or other thought leadership content. 

Here is what will qualify you for the role:

  • At least 4 years of industry experience applying NLP to production systems.
  • Demonstrated skill in evaluating and improving LLM-based systems: building test sets, defining offline and online metrics, using LLM-as-judge methods with awareness of their limits, and catching regressions in non-deterministic systems.
  • Strong Python skills and fluency with typical tools (HuggingFace, Pandas/Polars, MLFlow), with the habit of writing tested, maintainable code that runs in production.
  • Familiarity with cloud infrastructure environments for Machine Learning such as AWS, Azure or GCP.
  • Experience working with AI coding assistants in your own development workflow, and a point of view on where they help and where they don’t.
  • Proven ability to collaborate effectively with other functions: You can clearly explain scientific risks and technical tradeoffs to Product Managers, Designers, and Software Developers.

What will make you stand out:

  • Experience building agentic systems: tool use, multi-step planning, orchestration, guardrails, and especially how you evaluated them and handled failure modes.
  • Familiarity with traditional lexical and linguistics-based approaches, including classical Information Retrieval and Search
  • Experience with the safety and trust side of enterprise AI, such as data governance and legal compliance
  • International work experience and a demonstrated ability to collaborate across cultures and perspectives. 

Do you think you can bring this role to life?

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.

See more +

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.

Apply for this job

Resume*
Resume*
Browse or drop your resume here Browse, drop or paste your resume here
Close

For Statistics only 

What programming languages/frameworks/tools are you passionate about and have experience with? *
Where did you hear about Coveo?
We're sorry, we have not been able to submit your application. Please try again. If the problem persists, please send us a message at hr@coveo.com.