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Assistant Professor Of Computer Science Jobs in Quebec

LawZero

ML Research Scientist

Montreal, QC · On-site

Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but not required if the candidate demonstrates exceptional abilities. * 3-5 years of experience in deep ...

Valnet Inc.

Valnet | Data Scientist

Montreal, QC · On-site

Preferred Qualifications: * 3-5+ years of experience in a data science or analytics role ... Degree in Data Science, Statistics, Computer Science, Economics, or a related field. Why Join Us?

Intact Financial

Senior Data Scientist

Montreal, QC · Hybrid

A master's degree in a relevant field (mathematics, science, engineering, operations research, economics, statistics, AI, computer science, or a related discipline), or an equivalent combination of ...

NavitasPartners

CA$30/hr

Bachelor's or Master's degree in Data Science, AI, Computer Science, or related field. * 5+ years of machine learning experience. Mandatory Industry Experience: * Must have prior BFSI experience ...

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Giesecke+Devrient

Senior Data Scientist

Montreal, QC · On-site

Strong understanding of cloud-native data and AI platforms * Experience working in regulated industries is a plus * French speaking is an asset Education: * PhD or Master's degree in Computer Science ...

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What are the key skills and qualifications needed to thrive as an Assistant Professor of Computer Science, and why are they important?

To thrive as an Assistant Professor of Computer Science, you need an advanced degree (typically a Ph.D.) in computer science or a related field, along with a solid research background and teaching experience. Familiarity with programming languages, learning management systems (LMS), and research tools like LaTeX and version control systems is essential. Strong communication, mentorship, and organizational skills help foster student learning and collaboration with colleagues. These skills and qualities are critical for effectively educating students, advancing research, and contributing to the academic community.

What does an Assistant Professor of Computer Science do?

An Assistant Professor of Computer Science is an entry-level faculty member at a college or university who teaches undergraduate and/or graduate courses, conducts research in computer science, and contributes to the academic community through service. Their responsibilities often include developing curriculum, mentoring students, publishing scholarly articles, and seeking research funding. They may also participate in departmental committees and help organize academic events.

What are some common challenges faced by Assistant Professors of Computer Science in balancing research and teaching responsibilities?

Assistant Professors of Computer Science often find it challenging to balance the demands of conducting impactful research with the responsibilities of teaching and mentoring students. Managing time effectively between preparing lectures, grading, advising students, and pursuing research projects is essential. Additionally, there is often pressure to publish regularly and secure research funding, which requires strong organizational skills and the ability to prioritize tasks. Collaborating with colleagues and involving students in research can help manage workload and foster a supportive academic environment.
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Assistant Professor Of Computer Science jobs near you

Senior II Applied Scientist (NLP)

Coveo

Montreal, QC

Other

Posted 28 days ago

Job description

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 HR@Coveo.com to discuss your needs.

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