Coveo Logo

Coveo

Senior II Applied Scientist (NLP)

Reposted 17 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Québec, QC
Expert/Leader
Remote
Hiring Remotely in Québec, QC
Expert/Leader
As a Senior II Applied Scientist, you'll lead NLP initiatives, design AI solutions, and mentor team members, focusing on modern language technologies.
The summary above was generated by AI
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 II Applied Scientist on Coveo’s Knowledge AI team, you will help build the language technologies at the core of our generative artificial intelligence platform.

You’ll take on a technical leadership role, influencing our NLP vision while designing, evaluating, and deploying advanced solutions such as retrieval augmented generation pipelines, information retrieval, semantic search, question answering, and agentic systems, always with real-world constraints in mind.

As one of our Senior II Applied Scientists, you will:
  • Design, develop, and optimize modern language-based artificial intelligence solutions, from data and modeling choices to evaluation strategies and production constraints.
  • 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.
  • Act as a technical reference within the team, guiding architectural decisions and promoting best practices in applied science.
  • Mentor applied scientists, supporting their growth and helping raise the overall level of expertise within the group.
  • Contribute to research and development processes that foster efficiency, rigor, and a culture of applied science excellence.
  • Share our innovations externally through technical blog posts, presentations, or other thought leadership content.
Here is what will qualify you for the role:
  • A PhD, or a Master’s degree with equivalent research experience, in a relevant field such as machine learning, computer science, mathematics, or physics.
  • At least 8 years of industry experience applying modern natural language processing techniques, including deep learning and large language models, to real-world systems at scale.
  • Strong experience designing models and systems that balance performance, user experience, and production realities.
  • Ability to deliver production-grade code that is well-tested, maintainable, and evaluated through rigorous experimentation.
What will make you stand out:
  • Experience in a technical leadership capacity, including mentoring, hiring, roadmap definition, or scientific project planning.
  • Research or applied experience in areas closely related to Coveo’s business, such as information retrieval, neural search, semantic search, or question answering.
  • Exposure to more traditional lexical or linguistics-based natural language processing techniques.
  • International work experience and a demonstrated ability to collaborate across cultures and perspectives.

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.
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 [email protected] to discuss your needs.

Top Skills

Information Retrieval
Large Language Models
Machine Learning
Natural Language Processing
Transformer-Based Language Models

Similar Jobs

2 Days Ago
Remote
2 Locations
Senior level
Senior level
Software
Lead design, evaluation, and deployment of NLP and generative AI solutions (RAG, semantic search, QA, agentic systems). Apply and serve transformer-based models at scale, provide technical leadership, mentor scientists, collaborate with platform engineers, and share innovations externally.
Top Skills: Agentic SystemsDeep LearningInformation RetrievalLarge Language ModelsNeural SearchQuestion AnsweringRetrieval Augmented GenerationSemantic SearchTransformer-Based Language Models
An Hour Ago
Remote
Canada
Junior
Junior
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Build and deliver enterprise-level features across Toast's platform (POS, backend, frontend). Design and implement backend services and APIs, create automated tests, roll out features, monitor success, and collaborate with UX, PM, and cross-functional teams.
Top Skills: JavaKotlin
An Hour Ago
Remote
Canada
Senior level
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Design, build, deploy, and maintain resilient, scalable backend features and APIs for enterprise restaurant products. Lead complex projects, ensure quality via automated tests, roll out features, monitor success, collaborate with UX/PM, and mentor engineers.
Top Skills: Java,Kotlin,Android,Apis,Distributed Systems,Automated Testing

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account