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Open nowFirst seen 4 days ago

Applied AI Research Scientist

Industry Professionals13 open roles

Where
Montreal, QC, Canada
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Your applicationOpen nowApplied AI Research ScientistIndustry Professionals · Montreal, QC, Canada

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12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

The posting

Job Title: Applied AI Research Scientist

Location: Montreal, Canada (Hybrid)

Employment Type: Full-time

Experience Level: Mid-Senior Level

Industry: Artificial Intelligence / Computer Vision

Job Sourced By: Industry Professional sourcing candidates for its client based in Canada

About the Role

Our client, a leading innovator in AI and Computer Vision, is seeking an Applied AI Research Scientist to join their Montreal-based Research & Technology team. This hybrid role offers an exciting opportunity to contribute to cutting-edge innovation in a multidisciplinary environment. The ideal candidate is a highly motivated, creative thinker with strong technical expertise, passionate about developing novel AI methodologies and transforming them into scalable, real-world applications.

Requirements

  • Ph.D. or Masters degree in Computer Science, Electrical Engineering, or a related field with a focus on AI, machine/deep learning, or computer vision.
  • 25 years of relevant research experience in robotics, autonomous systems, or related domains.
  • Strong theoretical knowledge of supervised, unsupervised, self-supervised, few-shot, and zero-shot learning techniques.
  • Hands-on experience developing and deploying computer vision models in academic or industrial settings.
  • Solid understanding of image sensing modalities such as RGB, RADAR, Infrared, LIDAR, hyperspectral, thermal, etc.
  • Expertise in deep learning architectures including CNNs, Transformers, and foundation models for tasks like detection, segmentation, and recognition.
  • Proficient in Python and C++ with practical experience using ML/DL frameworks such as PyTorch, TensorFlow, Scikit-learn, and OpenCV.
  • Demonstrated ability to design experiments, analyze data, and optimize models for performance.
  • Strong written and verbal communication skills in English, with the ability to clearly convey complex technical concepts.
  • Demonstrated ability to publish research in leading AI and computer vision conferences/journals (e.g., NeurIPS, CVPR, ICCV, ECCV, AAAI, PAMI).
  • Excellent collaboration and teamwork abilities, including cross-functional communication with stakeholders.

Preferred Skills

  • Proven experience with detection and segmentation algorithms for radar image data.
  • Exposure to research collaboration with academic institutions (e.g., NSERC, MITACS) and industrial R&D partners.
  • Familiarity with deploying trustworthy and certifiable AI models in critical applications.
  • Background in developing AI models under resource constraints (e.g., frugal, few-shot, zero-shot learning).
  • Patent contributions or innovation disclosures are a plus.

Key Responsibilities

  • Conduct advanced research in AI and computer vision, focusing on image/video processing, deep learning, and innovative algorithm development.
  • Design and implement high-performing models for real-world tasks such as object detection, segmentation, and tracking.
  • Lead exploration of frugal learning approaches to maximize performance from minimal training data.
  • Validate robustness and reliability of machine learning models under practical deployment conditions.
  • Transition research into functional prototypes and production-ready solutions in collaboration with engineering teams.
  • Contribute to strategic research roadmaps by translating stakeholder requirements into innovative research objectives.
  • Publish and present research findings at top-tier conferences and contribute to patents and internal knowledge bases.
  • Serve as a subject matter expert in cross-disciplinary project teams, providing technical guidance and mentorship.

If you are a forward-thinking researcher ready to take on complex challenges in a dynamic, innovation-driven environment, this is your opportunity to make a meaningful impact in the AI space.

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