Why This Job is Featured on The SaaS Jobs
Applied NLP roles in SaaS become especially consequential when models move beyond prototypes into features that enterprise customers rely on daily. This position sits at that intersection: building language-model capabilities such as retrieval-augmented generation, semantic search, and summarization, while accounting for the realities of production systems and real client data. For SaaS professionals, that blend of research and operational accountability is a defining characteristic of modern AI product development.
The career value here comes from working across the full applied ML loop—problem framing with product partners, experimentation with clear evaluation, deployment, and ongoing monitoring. Experience translating model improvements into measurable product outcomes is highly portable across SaaS, particularly as more companies adopt LLM-enabled workflows but struggle with reliability, relevance, and cost-performance in production. Contributions to shared research infrastructure also signal exposure to platform thinking, not just single-model delivery.
This role tends to suit an applied scientist who prefers hands-on building and iteration over purely academic output, and who is comfortable collaborating closely with engineering and product counterparts. It aligns well with someone aiming to deepen skills in production-grade Python, modern transformer tooling, and pragmatic evaluation practices within an enterprise SaaS context.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
