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Senior Machine Learning Developer 🔥


Take the lead in scaling our AI solutions!

As a Machine Learning Developer in the NLP team at Coveo you will get fully immersed in our Support Case Assist and Question-Answering projects.

You will play a key role in the design and implementation of NLP-based systems and applications.

You will also be involved in the efforts to build and improve tools to support ML Scientists, such as experimentation and training frameworks for Deep Learning NLP Tasks.

Seize the opportunity to have an impact on the core AI technologies and the value they bring to our customers through the Coveo Relevance Cloud Platform!

You will:

  • Help build our team's expertise in developing and optimizing the latest Transformer-based language models, applying them to real business use cases and serving them to thousands of users reliably.
  • Play an expert role on how to structure, design and optimize our NLP applications and services in such a way that meets our ever-growing user base.
  • Work hand-in-hand with Applied Scientists and together find ways to accelerate research and innovation cycles via the right tools and techniques.
  • Help put in place the right R&D processes so that we work efficiently as a group.
  • 5 years industry experience with 2 years minimum building and optimizing ML systems, applications and tools to support ML Scientists
  • Experience with productizing Deep Learning models with at least one framework (PyTorch preferred)
  • Extensive experience with Python toolchain: packaging, debugging, profiling, etc.
  • Focus and care for designing systems that meet the performance budget and constraints of production, that are easy to maintain and scale to the thousands.
  • Very comfortable with Docker development and CI/CD pipelines (e.g.: Jenkins, GH Actions, etc.)
  • Industry experience with data engineering: you know your way around SQL and ETL pipelines
  • Familiarity with the Natural Language Processing domain and some of the popular libraries in the domain (SpaCy, HuggingFace etc.)
  • Flexible work conditions: want to work from home full time? No problem! Want to meet your colleagues, take part in social activities or just enjoy a free supply of coffee and tea? Come to one of our offices in Montreal or Quebec city! You prefer working in the evenings? As long as your team is fine with it, so are we!
  • Training and career growth opportunities: Want to try a new stack, challenge colleagues in a hack-a-thon or learn more best practices in ML Ops? Go ahead! And the opposite is also true: you have a topic you’re fond of and you see colleagues that could benefit from it? Share with them.
  • A good benefits and compensation package, that includes an amount of Restricted Stock Units.
  • https://www.youtube.com/watch?v=8S_r7oWmMVU&ab_channel=Coveo [1]

  1. https://www.youtube.com/watch?v=8S_r7oWmMVU&ab_channel=Coveo

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